Most accurate market: Over 1.5 – 83% correct (8,882 of 10,758 tips, last 30 days). No betting rule currently shows a positive ROI on at least 40 bets.
Where AI tips were profitable: odds and confidence bands
We split every settled AI tip with pre-match odds by tip type, odds band and AI confidence. Only bands in profit on at least 40 bets are listed, best ROI first. Odds for Over/Under and both-teams-to-score have been recorded since 12.09.2026, so these markets have a shorter history.
Since 15.09.2026 – updated model
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Under 3.5 goals
odds 2.50–3.20
85
47.1% (37.0%)
2.71
+23.57
+27.7%
promising
Over 1.5 goals
odds 1.60–1.80
79
63.3% (61.0%)
1.64
+2.54
+3.2%
could be luck
Over 2.5 goals
AI confidence 70% and above
302
74.2% (73.5%)
1.37
+3.73
+1.2%
could be luck
Last 1 days (25.10.2026–25.10.2026)
No band is in profit on at least 40 bets yet (50 settled tips with odds in this period).
Flat stake of 1 unit per bet, no tax, average pre-match odds. Break-even = hit rate needed to finish at zero at these odds. Signal: “solid” = well above break-even and positive in both halves of the period; “promising” = above break-even in both halves; “could be luck” = the sample is still too small to tell. Past results do not guarantee future results.
Positive-ROI betting system
+8.8% ROI in 6 days
AI tips: both teams to score · odds 2.00–2.41, average 2.14
ROI
+8.8%
Bets
106
Hit rate
50.9%
Average odds
2.14
Odds range
2.00–2.41
Profit
+9.38 units
Max drawdown
6.27 units
Period: last 7 days (19.10.2026–25.10.2026), including tips made before the model update · 19.10.2026–24.10.2026
How we calculate: flat stake of 1 unit per bet, no tax, average odds from several bookmakers recorded before kick-off. Profit is shown in units; ROI = profit ÷ units staked; max drawdown = the largest drop from a profit peak. The rule is re-selected every day from 840 combinations (market × odds range × AI confidence) with at least 40 bets. Past results do not guarantee future results. Odds below 1.20 are left out; rules that were in profit in both halves of the period are preferred.
Where AI tips were profitable: odds and confidence bands
We split every settled AI tip with pre-match odds by tip type, odds band and AI confidence. Only bands in profit on at least 40 bets are listed, best ROI first. Odds for Over/Under and both-teams-to-score have been recorded since 12.09.2026, so these markets have a shorter history.
Since 15.09.2026 – updated model
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Under 3.5 goals
odds 2.50–3.20
85
47.1% (37.0%)
2.71
+23.57
+27.7%
promising
Over 1.5 goals
odds 1.60–1.80
79
63.3% (61.0%)
1.64
+2.54
+3.2%
could be luck
Over 2.5 goals
AI confidence 70% and above
302
74.2% (73.5%)
1.37
+3.73
+1.2%
could be luck
Last 7 days (19.10.2026–25.10.2026)
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Away win (2)
odds 1.40–1.60
89
76.4% (66.7%)
1.50
+12.85
+14.4%
promising
Both teams to score – no
odds 2.00–2.50
68
51.5% (47.1%)
2.13
+6.08
+8.9%
could be luck
Over 1.5 goals
AI confidence 50–60%
79
75.9% (71.3%)
1.41
+5.74
+7.3%
could be luck
Home win (1)
odds 1.40–1.60
204
69.6% (66.7%)
1.50
+8.70
+4.3%
could be luck
Over 2.5 goals
AI confidence 70% and above
78
75.6% (74.0%)
1.36
+1.34
+1.7%
could be luck
Both teams to score – yes
AI confidence 40–50%
40
55.0% (54.8%)
1.85
+0.25
+0.6%
could be luck
Away win (2)
odds 1.20–1.40
71
77.5% (77.3%)
1.30
+0.29
+0.4%
could be luck
Over 1.5 goals
AI confidence 70% and above
377
79.8% (79.9%)
1.25
+0.19
+0.1%
could be luck
Flat stake of 1 unit per bet, no tax, average pre-match odds. Break-even = hit rate needed to finish at zero at these odds. Signal: “solid” = well above break-even and positive in both halves of the period; “promising” = above break-even in both halves; “could be luck” = the sample is still too small to tell. Past results do not guarantee future results.
Positive-ROI betting system
+13.0% ROI in 13 days
AI tips on a home win · odds 1.50–1.95, average 1.66 · AI confidence ≥ 60%
ROI
+13.0%
Bets
54
Hit rate
68.5%
Average odds
1.66
Odds range
1.50–1.95
Profit
+7.00 units
Max drawdown
6.49 units
Period: last 14 days (12.10.2026–25.10.2026), including tips made before the model update · 12.10.2026–24.10.2026
How we calculate: flat stake of 1 unit per bet, no tax, average odds from several bookmakers recorded before kick-off. Profit is shown in units; ROI = profit ÷ units staked; max drawdown = the largest drop from a profit peak. The rule is re-selected every day from 840 combinations (market × odds range × AI confidence) with at least 40 bets. Past results do not guarantee future results. Odds below 1.20 are left out; rules that were in profit in both halves of the period are preferred.
Where AI tips were profitable: odds and confidence bands
We split every settled AI tip with pre-match odds by tip type, odds band and AI confidence. Only bands in profit on at least 40 bets are listed, best ROI first. Odds for Over/Under and both-teams-to-score have been recorded since 12.09.2026, so these markets have a shorter history.
Since 15.09.2026 – updated model
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Under 3.5 goals
odds 2.50–3.20
85
47.1% (37.0%)
2.71
+23.57
+27.7%
promising
Over 1.5 goals
odds 1.60–1.80
79
63.3% (61.0%)
1.64
+2.54
+3.2%
could be luck
Over 2.5 goals
AI confidence 70% and above
302
74.2% (73.5%)
1.37
+3.73
+1.2%
could be luck
Last 14 days (12.10.2026–25.10.2026)
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Under 2.5 goals
odds 1.60–1.80
66
69.7% (59.7%)
1.68
+11.04
+16.7%
promising
Away win (2)
odds 1.40–1.60
217
70.0% (66.8%)
1.50
+10.11
+4.7%
promising
Under 2.5 goals
AI confidence 40–50%
65
64.6% (62.6%)
1.62
+2.30
+3.5%
could be luck
Both teams to score – no
odds 2.00–2.50
143
48.3% (46.6%)
2.15
+4.66
+3.3%
could be luck
Over 2.5 goals
odds 2.50–3.20
42
38.1% (37.2%)
2.70
+1.10
+2.6%
could be luck
Away win (2)
AI confidence 60–70%
99
70.7% (68.9%)
1.47
+2.51
+2.5%
could be luck
Home win (1)
AI confidence 60–70%
170
70.0% (68.2%)
1.50
+3.58
+2.1%
could be luck
Home win (1)
AI confidence 50–60%
586
62.8% (61.4%)
1.67
+9.16
+1.6%
could be luck
Home win (1)
odds 1.20–1.40
374
77.8% (77.1%)
1.30
+4.13
+1.1%
could be luck
Both teams to score – no
AI confidence below 40%
40
47.5% (46.3%)
2.20
+0.32
+0.8%
could be luck
Flat stake of 1 unit per bet, no tax, average pre-match odds. Break-even = hit rate needed to finish at zero at these odds. Signal: “solid” = well above break-even and positive in both halves of the period; “promising” = above break-even in both halves; “could be luck” = the sample is still too small to tell. Past results do not guarantee future results.
Positive-ROI betting system
+3.7% ROI in 30 days
AI tips on a home win · odds 1.70–2.49, average 1.93 · AI confidence ≥ 50%
ROI
+3.7%
Bets
609
Hit rate
54.5%
Average odds
1.93
Odds range
1.70–2.49
Profit
+22.50 units
Max drawdown
14.32 units
Period: last 30 days (26.09.2026–25.10.2026), including tips made before the model update · 26.09.2026–25.10.2026
How we calculate: flat stake of 1 unit per bet, no tax, average odds from several bookmakers recorded before kick-off. Profit is shown in units; ROI = profit ÷ units staked; max drawdown = the largest drop from a profit peak. The rule is re-selected every day from 840 combinations (market × odds range × AI confidence) with at least 40 bets. Past results do not guarantee future results. Odds below 1.20 are left out; rules that were in profit in both halves of the period are preferred.
Where AI tips were profitable: odds and confidence bands
We split every settled AI tip with pre-match odds by tip type, odds band and AI confidence. Only bands in profit on at least 40 bets are listed, best ROI first. Odds for Over/Under and both-teams-to-score have been recorded since 12.09.2026, so these markets have a shorter history.
Since 15.09.2026 – updated model
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Under 3.5 goals
odds 2.50–3.20
85
47.1% (37.0%)
2.71
+23.57
+27.7%
promising
Over 1.5 goals
odds 1.60–1.80
79
63.3% (61.0%)
1.64
+2.54
+3.2%
could be luck
Over 2.5 goals
AI confidence 70% and above
302
74.2% (73.5%)
1.37
+3.73
+1.2%
could be luck
Last 30 days (26.09.2026–25.10.2026)
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Under 3.5 goals
odds 2.50–3.20
74
45.9% (37.1%)
2.70
+17.68
+23.9%
promising
Under 2.5 goals
odds 2.00–2.50
85
52.9% (45.7%)
2.20
+14.58
+17.2%
could be luck
Over 1.5 goals
odds 1.60–1.80
71
66.2% (61.0%)
1.64
+5.64
+7.9%
could be luck
Home win (1)
AI confidence 50–60%
1,210
61.3% (60.9%)
1.69
+15.61
+1.3%
could be luck
Under 2.5 goals
AI confidence 40–50%
103
59.2% (59.7%)
1.74
+0.86
+0.8%
could be luck
Away win (2)
odds 1.40–1.60
410
67.1% (66.9%)
1.50
+1.09
+0.3%
could be luck
Flat stake of 1 unit per bet, no tax, average pre-match odds. Break-even = hit rate needed to finish at zero at these odds. Signal: “solid” = well above break-even and positive in both halves of the period; “promising” = above break-even in both halves; “could be luck” = the sample is still too small to tell. Past results do not guarantee future results.
Positive-ROI betting system
+17.6% ROI in 87 days
AI 1X2 tips · odds 1.50–2.93, average 1.93 · AI confidence ≥ 70%
ROI
+17.6%
Bets
56
Hit rate
60.7%
Average odds
1.93
Odds range
1.50–2.93
Profit
+9.86 units
Max drawdown
4.23 units
Period: last 90 days (28.07.2026–25.10.2026), including tips made before the model update · 30.07.2026–24.10.2026
How we calculate: flat stake of 1 unit per bet, no tax, average odds from several bookmakers recorded before kick-off. Profit is shown in units; ROI = profit ÷ units staked; max drawdown = the largest drop from a profit peak. The rule is re-selected every day from 840 combinations (market × odds range × AI confidence) with at least 40 bets. Past results do not guarantee future results. Odds below 1.20 are left out; rules that were in profit in both halves of the period are preferred.
Where AI tips were profitable: odds and confidence bands
We split every settled AI tip with pre-match odds by tip type, odds band and AI confidence. Only bands in profit on at least 40 bets are listed, best ROI first. Odds for Over/Under and both-teams-to-score have been recorded since 12.09.2026, so these markets have a shorter history.
Since 15.09.2026 – updated model
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Under 3.5 goals
odds 2.50–3.20
85
47.1% (37.0%)
2.71
+23.57
+27.7%
promising
Over 1.5 goals
odds 1.60–1.80
79
63.3% (61.0%)
1.64
+2.54
+3.2%
could be luck
Over 2.5 goals
AI confidence 70% and above
302
74.2% (73.5%)
1.37
+3.73
+1.2%
could be luck
Last 90 days (28.07.2026–25.10.2026)
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Under 3.5 goals
odds 2.50–3.20
108
47.2% (36.8%)
2.73
+30.44
+28.2%
solid
Draw (X)
odds 2.50–3.20
118
37.3% (33.8%)
2.97
+12.82
+10.9%
could be luck
Draw (X)
AI confidence below 40%
86
33.7% (31.2%)
3.32
+6.04
+7.0%
could be luck
Home win (1)
odds 3.20–4.50
79
27.8% (27.7%)
3.65
+3.02
+3.8%
could be luck
Under 2.5 goals
odds 2.50–3.20
101
37.6% (36.8%)
2.73
+2.07
+2.0%
could be luck
Home win (1)
AI confidence 50–60%
1,627
60.4% (59.7%)
1.75
+16.86
+1.0%
could be luck
Away win (2)
odds 1.40–1.60
497
67.4% (66.9%)
1.50
+3.41
+0.7%
could be luck
Flat stake of 1 unit per bet, no tax, average pre-match odds. Break-even = hit rate needed to finish at zero at these odds. Signal: “solid” = well above break-even and positive in both halves of the period; “promising” = above break-even in both halves; “could be luck” = the sample is still too small to tell. Past results do not guarantee future results.
Positive-ROI betting system
+23.7% ROI in 116 days
AI 1X2 tips · odds 2.00–2.99, average 2.35 · AI confidence ≥ 70%
ROI
+23.7%
Bets
51
Hit rate
51.0%
Average odds
2.35
Odds range
2.00–2.99
Profit
+12.11 units
Max drawdown
4.01 units
Period: the whole recorded period (27.06.2026–25.10.2026) · 27.06.2026–20.10.2026
How we calculate: flat stake of 1 unit per bet, no tax, average odds from several bookmakers recorded before kick-off. Profit is shown in units; ROI = profit ÷ units staked; max drawdown = the largest drop from a profit peak. The rule is re-selected every day from 840 combinations (market × odds range × AI confidence) with at least 40 bets. Past results do not guarantee future results. Odds below 1.20 are left out; rules that were in profit in both halves of the period are preferred.
Where AI tips were profitable: odds and confidence bands
We split every settled AI tip with pre-match odds by tip type, odds band and AI confidence. Only bands in profit on at least 40 bets are listed, best ROI first. Odds for Over/Under and both-teams-to-score have been recorded since 12.09.2026, so these markets have a shorter history.
Since 15.09.2026 – updated model
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Under 3.5 goals
odds 2.50–3.20
85
47.1% (37.0%)
2.71
+23.57
+27.7%
promising
Over 1.5 goals
odds 1.60–1.80
79
63.3% (61.0%)
1.64
+2.54
+3.2%
could be luck
Over 2.5 goals
AI confidence 70% and above
302
74.2% (73.5%)
1.37
+3.73
+1.2%
could be luck
All time (27.06.2026–25.10.2026)
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Under 3.5 goals
odds 2.50–3.20
108
47.2% (36.8%)
2.73
+30.44
+28.2%
solid
Home win (1)
odds 3.20–4.50
118
28.0% (27.5%)
3.67
+3.88
+3.3%
could be luck
Draw (X)
odds 2.50–3.20
160
34.4% (33.7%)
2.98
+4.54
+2.8%
could be luck
Under 2.5 goals
odds 2.50–3.20
101
37.6% (36.8%)
2.73
+2.07
+2.0%
could be luck
Home win (1)
AI confidence 50–60%
1,681
60.1% (59.3%)
1.77
+24.33
+1.4%
could be luck
Draw (X)
AI confidence 40–50%
125
28.8% (27.9%)
3.66
+1.22
+1.0%
could be luck
Away win (2)
odds 2.50–3.20
482
37.1% (37.4%)
2.69
+0.89
+0.2%
could be luck
Flat stake of 1 unit per bet, no tax, average pre-match odds. Break-even = hit rate needed to finish at zero at these odds. Signal: “solid” = well above break-even and positive in both halves of the period; “promising” = above break-even in both halves; “could be luck” = the sample is still too small to tell. Past results do not guarantee future results.
Positive-ROI betting system
+23.7% ROI in 116 days
AI 1X2 tips · odds 2.00–2.99, average 2.35 · AI confidence ≥ 70%
ROI
+23.7%
Bets
51
Hit rate
51.0%
Average odds
2.35
Odds range
2.00–2.99
Profit
+12.11 units
Max drawdown
4.01 units
Period: the whole recorded period (27.06.2026–25.10.2026) · 27.06.2026–20.10.2026
How we calculate: flat stake of 1 unit per bet, no tax, average odds from several bookmakers recorded before kick-off. Profit is shown in units; ROI = profit ÷ units staked; max drawdown = the largest drop from a profit peak. The rule is re-selected every day from 840 combinations (market × odds range × AI confidence) with at least 40 bets. Past results do not guarantee future results. Odds below 1.20 are left out; rules that were in profit in both halves of the period are preferred.
Where AI tips were profitable: odds and confidence bands
We split every settled AI tip with pre-match odds by tip type, odds band and AI confidence. Only bands in profit on at least 40 bets are listed, best ROI first. Odds for Over/Under and both-teams-to-score have been recorded since 12.09.2026, so these markets have a shorter history.
Since 15.09.2026 – updated model
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Under 3.5 goals
odds 2.50–3.20
85
47.1% (37.0%)
2.71
+23.57
+27.7%
promising
Over 1.5 goals
odds 1.60–1.80
79
63.3% (61.0%)
1.64
+2.54
+3.2%
could be luck
Over 2.5 goals
AI confidence 70% and above
302
74.2% (73.5%)
1.37
+3.73
+1.2%
could be luck
All time (27.06.2026–25.10.2026)
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Under 3.5 goals
odds 2.50–3.20
108
47.2% (36.8%)
2.73
+30.44
+28.2%
solid
Home win (1)
odds 3.20–4.50
118
28.0% (27.5%)
3.67
+3.88
+3.3%
could be luck
Draw (X)
odds 2.50–3.20
160
34.4% (33.7%)
2.98
+4.54
+2.8%
could be luck
Under 2.5 goals
odds 2.50–3.20
101
37.6% (36.8%)
2.73
+2.07
+2.0%
could be luck
Home win (1)
AI confidence 50–60%
1,681
60.1% (59.3%)
1.77
+24.33
+1.4%
could be luck
Draw (X)
AI confidence 40–50%
125
28.8% (27.9%)
3.66
+1.22
+1.0%
could be luck
Away win (2)
odds 2.50–3.20
482
37.1% (37.4%)
2.69
+0.89
+0.2%
could be luck
Flat stake of 1 unit per bet, no tax, average pre-match odds. Break-even = hit rate needed to finish at zero at these odds. Signal: “solid” = well above break-even and positive in both halves of the period; “promising” = above break-even in both halves; “could be luck” = the sample is still too small to tell. Past results do not guarantee future results.
Positive-ROI betting system
+5.9% ROI in 36 days
AI tips: over 2.5 goals · odds 1.30–1.84, average 1.44 · AI confidence ≥ 70%
ROI
+5.9%
Bets
196
Hit rate
74.0%
Average odds
1.44
Odds range
1.30–1.84
Profit
+11.53 units
Max drawdown
6.52 units
Period: since 15.09.2026, updated model · 19.09.2026–24.10.2026
How we calculate: flat stake of 1 unit per bet, no tax, average odds from several bookmakers recorded before kick-off. Profit is shown in units; ROI = profit ÷ units staked; max drawdown = the largest drop from a profit peak. The rule is re-selected every day from 840 combinations (market × odds range × AI confidence) with at least 40 bets. Past results do not guarantee future results. Odds below 1.20 are left out; rules that were in profit in both halves of the period are preferred.
Where AI tips were profitable: odds and confidence bands
We split every settled AI tip with pre-match odds by tip type, odds band and AI confidence. Only bands in profit on at least 40 bets are listed, best ROI first. Odds for Over/Under and both-teams-to-score have been recorded since 12.09.2026, so these markets have a shorter history.
Since 15.09.2026 – updated model
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Under 3.5 goals
odds 2.50–3.20
85
47.1% (37.0%)
2.71
+23.57
+27.7%
promising
Over 1.5 goals
odds 1.60–1.80
79
63.3% (61.0%)
1.64
+2.54
+3.2%
could be luck
Over 2.5 goals
AI confidence 70% and above
302
74.2% (73.5%)
1.37
+3.73
+1.2%
could be luck
Flat stake of 1 unit per bet, no tax, average pre-match odds. Break-even = hit rate needed to finish at zero at these odds. Signal: “solid” = well above break-even and positive in both halves of the period; “promising” = above break-even in both halves; “could be luck” = the sample is still too small to tell. Past results do not guarantee future results.
Card predictions: how accurate they are
321 settled matches, 24.10.2026–25.10.2026. Next to every accuracy we show the baseline — what you get without any prediction, by always calling the side that happens more often — so it is clear where the AI prediction adds something.
Over 3.5 cards
61.1%
196 of 321 correct
baseline 53.0% · +8.1 pp
Over 4.5 cards
62.0%
199 of 321 correct
baseline 60.4% · +1.6 pp
Market
Accuracy
Settled
Baseline
Edge
Over 2.5 cards
71.0%
321
71.3% always over
-0.3 pp · no edge
Over 3.5 cards
61.1%
321
53.0% always over
+8.1 pp
Over 4.5 cards
62.0%
321
60.4% always under
+1.6 pp
Over 5.5 cards
73.8%
321
73.5% always under
+0.3 pp · no edge
Both teams booked
73.8%
321
73.2% always yes
+0.6 pp · no edge
Red card
81.9%
321
81.9% always no
+0.0 pp · no edge
Penalty
100.0%
321
100.0% always no
+0.0 pp · no edge
The baseline is a prediction-free guess: always calling the side that turned out more often in this sample. A market says something about the model only when the accuracy is above it — a high number on a line where one side happens in most matches says more about the market than about the model.
Card predictions have been stored since 18.09.2026, so shorter periods can show the same numbers. Every prediction is saved before kick-off and settled against the match record; a yellow and a red card count as one each. The call is over/yes when the AI prediction gives at least 50%.
847 settled matches, 18.10.2026–25.10.2026. Next to every accuracy we show the baseline — what you get without any prediction, by always calling the side that happens more often — so it is clear where the AI prediction adds something.
Over 3.5 cards
61.4%
520 of 847 correct
baseline 56.3% · +5.1 pp
Over 4.5 cards
62.2%
527 of 847 correct
baseline 59.7% · +2.5 pp
Market
Accuracy
Settled
Baseline
Edge
Over 2.5 cards
73.2%
847
73.2% always over
+0.0 pp · no edge
Over 3.5 cards
61.4%
847
56.3% always over
+5.1 pp
Over 4.5 cards
62.2%
847
59.7% always under
+2.5 pp
Over 5.5 cards
73.7%
847
73.6% always under
+0.1 pp · no edge
Both teams booked
75.8%
847
75.8% always yes
+0.0 pp · no edge
Red card
83.1%
847
83.1% always no
+0.0 pp · no edge
Penalty
100.0%
847
100.0% always no
+0.0 pp · no edge
The baseline is a prediction-free guess: always calling the side that turned out more often in this sample. A market says something about the model only when the accuracy is above it — a high number on a line where one side happens in most matches says more about the market than about the model.
Card predictions have been stored since 18.09.2026, so shorter periods can show the same numbers. Every prediction is saved before kick-off and settled against the match record; a yellow and a red card count as one each. The call is over/yes when the AI prediction gives at least 50%.
1,617 settled matches, 11.10.2026–25.10.2026. Next to every accuracy we show the baseline — what you get without any prediction, by always calling the side that happens more often — so it is clear where the AI prediction adds something.
Over 3.5 cards
63.0%
1,018 of 1,617 correct
baseline 58.2% · +4.8 pp
Over 4.5 cards
63.2%
1,022 of 1,617 correct
baseline 58.6% · +4.6 pp
Market
Accuracy
Settled
Baseline
Edge
Over 2.5 cards
74.6%
1,617
74.8% always over
-0.2 pp · no edge
Over 3.5 cards
63.0%
1,617
58.2% always over
+4.8 pp
Over 4.5 cards
63.2%
1,617
58.6% always under
+4.6 pp
Over 5.5 cards
73.0%
1,617
72.9% always under
+0.1 pp · no edge
Both teams booked
75.9%
1,617
75.9% always yes
+0.0 pp · no edge
Red card
82.4%
1,617
82.4% always no
+0.0 pp · no edge
Penalty
100.0%
1,617
100.0% always no
+0.0 pp · no edge
The baseline is a prediction-free guess: always calling the side that turned out more often in this sample. A market says something about the model only when the accuracy is above it — a high number on a line where one side happens in most matches says more about the market than about the model.
Card predictions have been stored since 18.09.2026, so shorter periods can show the same numbers. Every prediction is saved before kick-off and settled against the match record; a yellow and a red card count as one each. The call is over/yes when the AI prediction gives at least 50%.
2,778 settled matches, 25.09.2026–25.10.2026. Next to every accuracy we show the baseline — what you get without any prediction, by always calling the side that happens more often — so it is clear where the AI prediction adds something.
Over 3.5 cards
63.9%
1,775 of 2,778 correct
baseline 58.5% · +5.4 pp
Over 4.5 cards
62.7%
1,743 of 2,778 correct
baseline 58.4% · +4.4 pp
Market
Accuracy
Settled
Baseline
Edge
Over 2.5 cards
76.0%
2,778
75.4% always over
+0.5 pp · no edge
Over 3.5 cards
63.9%
2,778
58.5% always over
+5.4 pp
Over 4.5 cards
62.7%
2,778
58.4% always under
+4.4 pp
Over 5.5 cards
73.3%
2,778
72.8% always under
+0.5 pp · no edge
Both teams booked
76.2%
2,778
75.9% always yes
+0.3 pp · no edge
Red card
81.7%
2,778
81.7% always no
+0.0 pp · no edge
Penalty
96.5%
2,778
96.5% always no
+0.0 pp · no edge
The baseline is a prediction-free guess: always calling the side that turned out more often in this sample. A market says something about the model only when the accuracy is above it — a high number on a line where one side happens in most matches says more about the market than about the model.
Card predictions have been stored since 18.09.2026, so shorter periods can show the same numbers. Every prediction is saved before kick-off and settled against the match record; a yellow and a red card count as one each. The call is over/yes when the AI prediction gives at least 50%.
3,743 settled matches, 18.09.2026–25.10.2026. Next to every accuracy we show the baseline — what you get without any prediction, by always calling the side that happens more often — so it is clear where the AI prediction adds something.
Over 3.5 cards
63.6%
2,382 of 3,743 correct
baseline 58.2% · +5.5 pp
Over 4.5 cards
63.0%
2,359 of 3,743 correct
baseline 58.6% · +4.5 pp
Market
Accuracy
Settled
Baseline
Edge
Over 2.5 cards
75.7%
3,743
75.3% always over
+0.5 pp · no edge
Over 3.5 cards
63.6%
3,743
58.2% always over
+5.5 pp
Over 4.5 cards
63.0%
3,743
58.6% always under
+4.5 pp
Over 5.5 cards
73.9%
3,743
73.4% always under
+0.5 pp · no edge
Both teams booked
76.1%
3,743
75.9% always yes
+0.2 pp · no edge
Red card
81.4%
3,743
81.4% always no
+0.0 pp · no edge
Penalty
91.6%
3,743
91.6% always no
+0.0 pp · no edge
The baseline is a prediction-free guess: always calling the side that turned out more often in this sample. A market says something about the model only when the accuracy is above it — a high number on a line where one side happens in most matches says more about the market than about the model.
Card predictions have been stored since 18.09.2026, so shorter periods can show the same numbers. Every prediction is saved before kick-off and settled against the match record; a yellow and a red card count as one each. The call is over/yes when the AI prediction gives at least 50%.
3,743 settled matches, 18.09.2026–25.10.2026. Next to every accuracy we show the baseline — what you get without any prediction, by always calling the side that happens more often — so it is clear where the AI prediction adds something.
Over 3.5 cards
63.6%
2,382 of 3,743 correct
baseline 58.2% · +5.5 pp
Over 4.5 cards
63.0%
2,359 of 3,743 correct
baseline 58.6% · +4.5 pp
Market
Accuracy
Settled
Baseline
Edge
Over 2.5 cards
75.7%
3,743
75.3% always over
+0.5 pp · no edge
Over 3.5 cards
63.6%
3,743
58.2% always over
+5.5 pp
Over 4.5 cards
63.0%
3,743
58.6% always under
+4.5 pp
Over 5.5 cards
73.9%
3,743
73.4% always under
+0.5 pp · no edge
Both teams booked
76.1%
3,743
75.9% always yes
+0.2 pp · no edge
Red card
81.4%
3,743
81.4% always no
+0.0 pp · no edge
Penalty
91.6%
3,743
91.6% always no
+0.0 pp · no edge
The baseline is a prediction-free guess: always calling the side that turned out more often in this sample. A market says something about the model only when the accuracy is above it — a high number on a line where one side happens in most matches says more about the market than about the model.
Card predictions have been stored since 18.09.2026, so shorter periods can show the same numbers. Every prediction is saved before kick-off and settled against the match record; a yellow and a red card count as one each. The call is over/yes when the AI prediction gives at least 50%.
3,743 settled matches, 18.09.2026–25.10.2026. Next to every accuracy we show the baseline — what you get without any prediction, by always calling the side that happens more often — so it is clear where the AI prediction adds something.
Over 3.5 cards
63.6%
2,382 of 3,743 correct
baseline 58.2% · +5.5 pp
Over 4.5 cards
63.0%
2,359 of 3,743 correct
baseline 58.6% · +4.5 pp
Market
Accuracy
Settled
Baseline
Edge
Over 2.5 cards
75.7%
3,743
75.3% always over
+0.5 pp · no edge
Over 3.5 cards
63.6%
3,743
58.2% always over
+5.5 pp
Over 4.5 cards
63.0%
3,743
58.6% always under
+4.5 pp
Over 5.5 cards
73.9%
3,743
73.4% always under
+0.5 pp · no edge
Both teams booked
76.1%
3,743
75.9% always yes
+0.2 pp · no edge
Red card
81.4%
3,743
81.4% always no
+0.0 pp · no edge
Penalty
91.6%
3,743
91.6% always no
+0.0 pp · no edge
The baseline is a prediction-free guess: always calling the side that turned out more often in this sample. A market says something about the model only when the accuracy is above it — a high number on a line where one side happens in most matches says more about the market than about the model.
Card predictions have been stored since 18.09.2026, so shorter periods can show the same numbers. Every prediction is saved before kick-off and settled against the match record; a yellow and a red card count as one each. The call is over/yes when the AI prediction gives at least 50%.
3,743 settled matches, 18.09.2026–25.10.2026. Next to every accuracy we show the baseline — what you get without any prediction, by always calling the side that happens more often — so it is clear where the AI prediction adds something.
Over 3.5 cards
63.6%
2,382 of 3,743 correct
baseline 58.2% · +5.5 pp
Over 4.5 cards
63.0%
2,359 of 3,743 correct
baseline 58.6% · +4.5 pp
Market
Accuracy
Settled
Baseline
Edge
Over 2.5 cards
75.7%
3,743
75.3% always over
+0.5 pp · no edge
Over 3.5 cards
63.6%
3,743
58.2% always over
+5.5 pp
Over 4.5 cards
63.0%
3,743
58.6% always under
+4.5 pp
Over 5.5 cards
73.9%
3,743
73.4% always under
+0.5 pp · no edge
Both teams booked
76.1%
3,743
75.9% always yes
+0.2 pp · no edge
Red card
81.4%
3,743
81.4% always no
+0.0 pp · no edge
Penalty
91.6%
3,743
91.6% always no
+0.0 pp · no edge
The baseline is a prediction-free guess: always calling the side that turned out more often in this sample. A market says something about the model only when the accuracy is above it — a high number on a line where one side happens in most matches says more about the market than about the model.
Card predictions have been stored since 18.09.2026, so shorter periods can show the same numbers. Every prediction is saved before kick-off and settled against the match record; a yellow and a red card count as one each. The call is over/yes when the AI prediction gives at least 50%.
AI Football Prediction Results & Accuracy at aipredict.io
At aipredict.io, we strive to revolutionize the way football betting enthusiasts approach their predictions. Our advanced AI algorithms track and transparently publish football prediction results across a multitude of leagues, ensuring that our users have access to verified prediction accuracy.
The significance of soccer prediction accuracy cannot be overstated. As more fans turn to data-driven insights for their betting decisions, having reliable metrics is essential. At aipredict.io, we offer a comprehensive analysis of past prediction performance, focusing on key categories such as:
1X2 Outcomes
Over/Under Bets
Both Teams To Score (BTTS)
Transparency in our results is vital for fostering trust among our users. By providing detailed breakdowns of our AI football results, we enable bettors to assess the prediction success rate of each category and betting strategy. This level of openness not only differentiates us from competitors but also empowers users to make informed decisions based on solid data.
Our coverage spans multiple football leagues, including:
Premier League
Champions League
La Liga
Bundesliga
Serie A
Ligue 1
Eredivisie
By consistently updating our football prediction results, we provide an evolving landscape of insights that keeps pace with the dynamic nature of football. Choose aipredict.io for your betting forecasts and experience the advantage of AI-enhanced accuracy in your football predictions.