Most accurate market: Over 1.5 – 82% correct (8,696 of 10,570 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
127
43.3% (36.8%)
2.73
+22.30
+17.6%
could be luck
Both teams to score – yes
AI confidence 70% and above
53
75.5% (73.2%)
1.37
+1.74
+3.3%
could be luck
Away win (2)
odds 1.40–1.60
748
66.8% (66.7%)
1.50
+1.04
+0.1%
could be luck
Last 1 days (14.11.2026–14.11.2026)
No band is in profit on at least 40 bets yet (60 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
+19.1% ROI in 6 days
AI tips: both teams to score – yes · odds 1.50–2.08, average 1.62 · AI confidence ≥ 60%
ROI
+19.1%
Bets
45
Hit rate
73.3%
Average odds
1.62
Odds range
1.50–2.08
Profit
+8.59 units
Max drawdown
1.80 units
Period: last 7 days (08.11.2026–14.11.2026), including tips made before the model update · 09.11.2026–14.11.2026
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
127
43.3% (36.8%)
2.73
+22.30
+17.6%
could be luck
Both teams to score – yes
AI confidence 70% and above
53
75.5% (73.2%)
1.37
+1.74
+3.3%
could be luck
Away win (2)
odds 1.40–1.60
748
66.8% (66.7%)
1.50
+1.04
+0.1%
could be luck
Last 7 days (08.11.2026–14.11.2026)
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Away win (2)
AI confidence 50–60%
95
66.3% (60.4%)
1.68
+9.19
+9.7%
could be luck
Both teams to score – no
AI confidence 40–50%
59
57.6% (52.0%)
1.98
+4.96
+8.4%
could be luck
Both teams to score – yes
odds 1.60–1.80
111
63.1% (59.2%)
1.69
+7.24
+6.5%
could be luck
Away win (2)
odds 1.40–1.60
52
69.2% (65.8%)
1.52
+2.90
+5.6%
could be luck
Under 3.5 goals
AI confidence 50–60%
43
51.2% (51.0%)
2.02
+1.38
+3.2%
could be luck
Over 2.5 goals
odds 1.40–1.60
257
68.9% (67.3%)
1.49
+6.15
+2.4%
could be luck
Over 2.5 goals
odds 1.60–1.80
199
60.3% (59.1%)
1.70
+3.92
+2.0%
could be luck
Over 2.5 goals
AI confidence 60–70%
424
67.5% (67.2%)
1.52
+4.62
+1.1%
could be luck
Under 3.5 goals
odds 2.00–2.50
70
45.7% (46.0%)
2.18
+0.64
+0.9%
could be luck
Both teams to score – yes
AI confidence 60–70%
97
67.0% (67.4%)
1.50
+0.59
+0.6%
could be luck
Away win (2)
odds 1.80–2.00
94
53.2% (52.7%)
1.90
+0.55
+0.6%
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
+12.7% ROI in 13 days
AI tips on a home win · odds 1.70–2.45, average 1.91 · AI confidence ≥ 50%
ROI
+12.7%
Bets
210
Hit rate
59.5%
Average odds
1.91
Odds range
1.70–2.45
Profit
+26.57 units
Max drawdown
9.81 units
Period: last 14 days (01.11.2026–14.11.2026), including tips made before the model update · 01.11.2026–13.11.2026
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
127
43.3% (36.8%)
2.73
+22.30
+17.6%
could be luck
Both teams to score – yes
AI confidence 70% and above
53
75.5% (73.2%)
1.37
+1.74
+3.3%
could be luck
Away win (2)
odds 1.40–1.60
748
66.8% (66.7%)
1.50
+1.04
+0.1%
could be luck
Last 14 days (01.11.2026–14.11.2026)
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Away win (2)
odds 1.40–1.60
172
69.8% (66.4%)
1.51
+9.09
+5.3%
could be luck
Both teams to score – yes
odds 2.00–2.50
62
48.4% (47.0%)
2.13
+2.07
+3.3%
could be luck
Under 2.5 goals
odds 1.40–1.60
99
68.7% (66.6%)
1.50
+2.95
+3.0%
could be luck
Home win (1)
AI confidence 60–70%
134
70.9% (69.8%)
1.46
+2.79
+2.1%
could be luck
Under 2.5 goals
odds 1.80–2.00
44
54.5% (53.5%)
1.87
+0.85
+1.9%
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
+9.6% ROI in 30 days
AI tips: both teams to score – yes · odds 1.70–2.48, average 1.83 · AI confidence ≥ 60%
ROI
+9.6%
Bets
111
Hit rate
60.4%
Average odds
1.83
Odds range
1.70–2.48
Profit
+10.70 units
Max drawdown
10.16 units
Period: last 30 days (16.10.2026–14.11.2026), including tips made before the model update · 16.10.2026–14.11.2026
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
127
43.3% (36.8%)
2.73
+22.30
+17.6%
could be luck
Both teams to score – yes
AI confidence 70% and above
53
75.5% (73.2%)
1.37
+1.74
+3.3%
could be luck
Away win (2)
odds 1.40–1.60
748
66.8% (66.7%)
1.50
+1.04
+0.1%
could be luck
Last 30 days (16.10.2026–14.11.2026)
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Away win (2)
odds 1.40–1.60
484
68.2% (66.6%)
1.50
+11.09
+2.3%
could be luck
Under 2.5 goals
AI confidence 40–50%
125
60.8% (60.3%)
1.70
+1.10
+0.9%
could be luck
Both teams to score – yes
AI confidence 70% and above
48
72.9% (73.0%)
1.38
+0.09
+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
+16.2% ROI in 84 days
AI 1X2 tips · odds 1.50–2.93, average 1.89 · AI confidence ≥ 70%
ROI
+16.2%
Bets
55
Hit rate
61.8%
Average odds
1.89
Odds range
1.50–2.93
Profit
+8.93 units
Max drawdown
4.23 units
Period: last 90 days (17.08.2026–14.11.2026), including tips made before the model update · 17.08.2026–08.11.2026
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
127
43.3% (36.8%)
2.73
+22.30
+17.6%
could be luck
Both teams to score – yes
AI confidence 70% and above
53
75.5% (73.2%)
1.37
+1.74
+3.3%
could be luck
Away win (2)
odds 1.40–1.60
748
66.8% (66.7%)
1.50
+1.04
+0.1%
could be luck
Last 90 days (17.08.2026–14.11.2026)
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Under 3.5 goals
odds 2.50–3.20
150
44.0% (36.6%)
2.74
+29.17
+19.4%
could be luck
Draw (X)
AI confidence 40–50%
60
30.0% (28.3%)
3.61
+3.50
+5.8%
could be luck
Home win (1)
odds 3.20–4.50
53
28.3% (28.0%)
3.60
+2.77
+5.2%
could be luck
Under 2.5 goals
odds 2.50–3.20
107
38.3% (36.8%)
2.73
+4.79
+4.5%
could be luck
Away win (2)
odds 1.40–1.60
789
67.3% (66.7%)
1.50
+6.46
+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
+4.2% ROI in 114 days
AI 1X2 tips · odds 1.50–2.93, average 1.91 · AI confidence ≥ 70%
ROI
+4.2%
Bets
82
Hit rate
54.9%
Average odds
1.91
Odds range
1.50–2.93
Profit
+3.46 units
Max drawdown
6.55 units
Period: the whole recorded period (17.07.2026–14.11.2026) · 18.07.2026–08.11.2026
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
127
43.3% (36.8%)
2.73
+22.30
+17.6%
could be luck
Both teams to score – yes
AI confidence 70% and above
53
75.5% (73.2%)
1.37
+1.74
+3.3%
could be luck
Away win (2)
odds 1.40–1.60
748
66.8% (66.7%)
1.50
+1.04
+0.1%
could be luck
All time (17.07.2026–14.11.2026)
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Under 3.5 goals
odds 2.50–3.20
150
44.0% (36.6%)
2.74
+29.17
+19.4%
could be luck
Under 2.5 goals
odds 2.50–3.20
107
38.3% (36.8%)
2.73
+4.79
+4.5%
could be luck
Draw (X)
odds 2.50–3.20
142
33.8% (34.0%)
2.95
+1.32
+0.9%
could be luck
Draw (X)
AI confidence 40–50%
100
29.0% (28.3%)
3.60
+0.76
+0.8%
could be luck
Home win (1)
AI confidence 50–60%
2,426
60.2% (60.3%)
1.73
+5.30
+0.2%
could be luck
Away win (2)
odds 1.40–1.60
816
66.9% (66.8%)
1.50
+1.70
+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
+4.2% ROI in 114 days
AI 1X2 tips · odds 1.50–2.93, average 1.91 · AI confidence ≥ 70%
ROI
+4.2%
Bets
82
Hit rate
54.9%
Average odds
1.91
Odds range
1.50–2.93
Profit
+3.46 units
Max drawdown
6.55 units
Period: the whole recorded period (17.07.2026–14.11.2026) · 18.07.2026–08.11.2026
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
127
43.3% (36.8%)
2.73
+22.30
+17.6%
could be luck
Both teams to score – yes
AI confidence 70% and above
53
75.5% (73.2%)
1.37
+1.74
+3.3%
could be luck
Away win (2)
odds 1.40–1.60
748
66.8% (66.7%)
1.50
+1.04
+0.1%
could be luck
All time (17.07.2026–14.11.2026)
AI tip
Band
Bets
Hit rate (break-even)
Avg. odds
Profit (units)
ROI
Signal
Under 3.5 goals
odds 2.50–3.20
150
44.0% (36.6%)
2.74
+29.17
+19.4%
could be luck
Under 2.5 goals
odds 2.50–3.20
107
38.3% (36.8%)
2.73
+4.79
+4.5%
could be luck
Draw (X)
odds 2.50–3.20
142
33.8% (34.0%)
2.95
+1.32
+0.9%
could be luck
Draw (X)
AI confidence 40–50%
100
29.0% (28.3%)
3.60
+0.76
+0.8%
could be luck
Home win (1)
AI confidence 50–60%
2,426
60.2% (60.3%)
1.73
+5.30
+0.2%
could be luck
Away win (2)
odds 1.40–1.60
816
66.9% (66.8%)
1.50
+1.70
+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
+1.7% ROI in 60 days
AI tips on a home win · odds 1.70–2.49, average 1.91 · AI confidence ≥ 50%
ROI
+1.7%
Bets
1,024
Hit rate
53.7%
Average odds
1.91
Odds range
1.70–2.49
Profit
+17.17 units
Max drawdown
42.37 units
Period: since 15.09.2026, updated model · 15.09.2026–13.11.2026
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
127
43.3% (36.8%)
2.73
+22.30
+17.6%
could be luck
Both teams to score – yes
AI confidence 70% and above
53
75.5% (73.2%)
1.37
+1.74
+3.3%
could be luck
Away win (2)
odds 1.40–1.60
748
66.8% (66.7%)
1.50
+1.04
+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.
Card predictions: how accurate they are
80 settled matches, 13.11.2026–14.11.2026. 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.
In this period no card line is ahead of its baseline.
Market
Accuracy
Settled
Baseline
Edge
Over 2.5 cards
70.0%
80
73.8% always over
-3.8 pp · no edge
Over 3.5 cards
61.3%
80
58.8% always over
+2.5 pp · no edge
Over 4.5 cards
67.5%
80
62.5% always under
+5.0 pp · no edge
Over 5.5 cards
78.8%
80
76.3% always under
+2.5 pp · no edge
Both teams booked
67.5%
80
71.3% always yes
-3.8 pp · no edge
Red card
81.3%
80
81.3% always no
+0.0 pp · no edge
Penalty
100.0%
80
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%.
613 settled matches, 07.11.2026–14.11.2026. 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
64.8%
397 of 613 correct
baseline 58.4% · +6.4 pp
Over 4.5 cards
64.1%
393 of 613 correct
baseline 58.9% · +5.2 pp
Market
Accuracy
Settled
Baseline
Edge
Over 2.5 cards
74.6%
613
75.4% always over
-0.8 pp · no edge
Over 3.5 cards
64.8%
613
58.4% always over
+6.4 pp
Over 4.5 cards
64.1%
613
58.9% always under
+5.2 pp
Over 5.5 cards
72.8%
613
72.1% always under
+0.7 pp · no edge
Both teams booked
75.7%
613
75.7% always yes
+0.0 pp · no edge
Red card
80.3%
613
80.3% always no
+0.0 pp · no edge
Penalty
100.0%
613
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%.
1,350 settled matches, 31.10.2026–14.11.2026. 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
65.0%
878 of 1,350 correct
baseline 58.4% · +6.6 pp
Over 4.5 cards
64.1%
866 of 1,350 correct
baseline 58.6% · +5.6 pp
Market
Accuracy
Settled
Baseline
Edge
Over 2.5 cards
75.2%
1,350
74.7% always over
+0.4 pp · no edge
Over 3.5 cards
65.0%
1,350
58.4% always over
+6.6 pp
Over 4.5 cards
64.1%
1,350
58.6% always under
+5.6 pp
Over 5.5 cards
73.3%
1,350
72.7% always under
+0.5 pp · no edge
Both teams booked
76.3%
1,350
76.1% always yes
+0.2 pp · no edge
Red card
80.1%
1,350
80.1% always no
+0.0 pp · no edge
Penalty
100.0%
1,350
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%.
3,093 settled matches, 15.10.2026–14.11.2026. 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
63.5%
1,965 of 3,093 correct
baseline 58.8% · +4.7 pp
Over 4.5 cards
62.8%
1,942 of 3,093 correct
baseline 58.2% · +4.6 pp
Market
Accuracy
Settled
Baseline
Edge
Over 2.5 cards
75.5%
3,093
75.1% always over
+0.4 pp · no edge
Over 3.5 cards
63.5%
3,093
58.8% always over
+4.7 pp
Over 4.5 cards
62.8%
3,093
58.2% always under
+4.6 pp
Over 5.5 cards
72.6%
3,093
72.3% always under
+0.3 pp · no edge
Both teams booked
76.6%
3,093
76.5% always yes
+0.1 pp · no edge
Red card
81.0%
3,093
81.0% always no
+0.0 pp · no edge
Penalty
100.0%
3,093
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%.
5,567 settled matches, 18.09.2026–14.11.2026. 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
63.8%
3,554 of 5,567 correct
baseline 58.7% · +5.2 pp
Over 4.5 cards
63.1%
3,513 of 5,567 correct
baseline 58.3% · +4.8 pp
Market
Accuracy
Settled
Baseline
Edge
Over 2.5 cards
76.0%
5,567
75.5% always over
+0.5 pp · no edge
Over 3.5 cards
63.8%
5,567
58.7% always over
+5.2 pp
Over 4.5 cards
63.1%
5,567
58.3% always under
+4.8 pp
Over 5.5 cards
73.5%
5,567
72.9% always under
+0.5 pp · no edge
Both teams booked
76.4%
5,567
76.2% always yes
+0.2 pp · no edge
Red card
80.8%
5,567
80.8% always no
+0.0 pp · no edge
Penalty
94.3%
5,567
94.3% 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%.
5,567 settled matches, 18.09.2026–14.11.2026. 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
63.8%
3,554 of 5,567 correct
baseline 58.7% · +5.2 pp
Over 4.5 cards
63.1%
3,513 of 5,567 correct
baseline 58.3% · +4.8 pp
Market
Accuracy
Settled
Baseline
Edge
Over 2.5 cards
76.0%
5,567
75.5% always over
+0.5 pp · no edge
Over 3.5 cards
63.8%
5,567
58.7% always over
+5.2 pp
Over 4.5 cards
63.1%
5,567
58.3% always under
+4.8 pp
Over 5.5 cards
73.5%
5,567
72.9% always under
+0.5 pp · no edge
Both teams booked
76.4%
5,567
76.2% always yes
+0.2 pp · no edge
Red card
80.8%
5,567
80.8% always no
+0.0 pp · no edge
Penalty
94.3%
5,567
94.3% 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%.
5,567 settled matches, 18.09.2026–14.11.2026. 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
63.8%
3,554 of 5,567 correct
baseline 58.7% · +5.2 pp
Over 4.5 cards
63.1%
3,513 of 5,567 correct
baseline 58.3% · +4.8 pp
Market
Accuracy
Settled
Baseline
Edge
Over 2.5 cards
76.0%
5,567
75.5% always over
+0.5 pp · no edge
Over 3.5 cards
63.8%
5,567
58.7% always over
+5.2 pp
Over 4.5 cards
63.1%
5,567
58.3% always under
+4.8 pp
Over 5.5 cards
73.5%
5,567
72.9% always under
+0.5 pp · no edge
Both teams booked
76.4%
5,567
76.2% always yes
+0.2 pp · no edge
Red card
80.8%
5,567
80.8% always no
+0.0 pp · no edge
Penalty
94.3%
5,567
94.3% 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%.
5,567 settled matches, 18.09.2026–14.11.2026. 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
63.8%
3,554 of 5,567 correct
baseline 58.7% · +5.2 pp
Over 4.5 cards
63.1%
3,513 of 5,567 correct
baseline 58.3% · +4.8 pp
Market
Accuracy
Settled
Baseline
Edge
Over 2.5 cards
76.0%
5,567
75.5% always over
+0.5 pp · no edge
Over 3.5 cards
63.8%
5,567
58.7% always over
+5.2 pp
Over 4.5 cards
63.1%
5,567
58.3% always under
+4.8 pp
Over 5.5 cards
73.5%
5,567
72.9% always under
+0.5 pp · no edge
Both teams booked
76.4%
5,567
76.2% always yes
+0.2 pp · no edge
Red card
80.8%
5,567
80.8% always no
+0.0 pp · no edge
Penalty
94.3%
5,567
94.3% 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.