Today’s Market Probabilities

All matches analysed by our AI models today, with calculated probabilities per market. These are the numbers our AI uses to select the best picks.

No predictions available for today.

AI Model Statistics

Our machine learning model analyses every football match it can find — not just the 3 tips we publish daily. Below you find the full performance data of the AI across thousands of matches. This is how the model learns and improves over time.

14,854Matches Analysed

14,830Settled

44.2%Model Accuracy

6,557Correct Predictions

Outcome Distribution

Home Win

45% (6667)

Draw

25% (3675)

Away Win

30% (4488)

Over/Under 1.5 Distribution

Over 1.5

73% (15823)

Under 1.5

27% (5934)

O/U 1.5 Model Accuracy: 70.1% (15246/21757 correct)

Over/Under 2.5 Distribution

Over 2.5

55% (6210)

Under 2.5

45% (5090)

O/U Model Accuracy: 53.9% (6092/11300 correct)

Over/Under 3.5 Distribution

Over 3.5

31% (6833)

Under 3.5

69% (14924)

O/U 3.5 Model Accuracy: 67.1% (14596/21757 correct)

Both Teams to Score (BTTS)

BTTS Yes

50% (10905)

BTTS No

50% (10852)

BTTS Model Accuracy: 53% (11537/21757 correct)

Asian Handicap Results

Home Covered

133% (14170)

Away Covered

156% (16623)

Push

10% (1014)

AH Model Accuracy: 59.3% (5796/9781 correct, 878 push)

Accuracy by Competition

Competition	Matches	Correct	Accuracy
Regionalliga - Ost	92	71	77.2%
UEFA Champions League	741	505	68.2%
UEFA Europa Conference League	1147	772	67.3%
UEFA Europa League	682	441	64.7%
NPFL	69	43	62.3%
Primeira Liga	924	575	62.2%
Eredivisie	948	579	61.1%
3. Division	92	55	59.8%
Third League - Southeast	102	60	58.8%
Toppserien	50	29	58%
Serie A	1241	714	57.5%
La Liga	1140	651	57.1%
1st League - RS	62	35	56.5%
Bundesliga	973	546	56.1%
Third NL - Jug	83	46	55.4%
Serie D - Girone H	57	31	54.4%
Third League - Northeast	65	35	53.8%
Meistriliiga	52	28	53.8%
Division 2 - Södra Svealand	69	37	53.6%
Srpska Liga - Vojvodina	84	45	53.6%

Recent AI Predictions

Date	Match	1X2	AIC	O/U 1.5	O/U 2.5	O/U 3.5	BTTS	AH Line	Actual	Result
31 May 2026	Segunda DivisiónLeganes vs Mirandes	Away Win	57%	—	Over 2.5 ❌	—	—	-0.3 (Home) ✅	Home Win (1-0)	❌
31 May 2026	Segunda DivisiónCordoba vs Huesca	Home Win	57%	—	Over 2.5 ❌	—	—	-0.5 (Home) ❌	Draw (1-1)	❌
31 May 2026	Segunda DivisiónBurgos vs FC Andorra	Away Win	52%	—	Under 2.5 ✅	—	—	+0.0 (Away)	Home Win (1-0)	❌
31 May 2026	Segunda DivisiónDeportivo La Coruna vs Las Palmas	Home Win	66%	—	Over 2.5 ✅	—	—	-0.5 (Home) ❌	Away Win (1-2)	❌
31 May 2026	Segunda DivisiónCastellón vs Eibar	Away Win	47%	—	Over 2.5 ✅	—	—	-0.3 (Home) ✅	Home Win (2-1)	❌
31 May 2026	Segunda DivisiónAlmeria vs Valladolid	Home Win	60%	—	Under 2.5 ✅	—	—	-0.5 (Home) ✅	Home Win (1-0)	✅
31 May 2026	Segunda DivisiónRacing Santander vs Cadiz	Home Win	78%	—	Over 2.5 ✅	—	—	-0.5 (Home) ✅	Home Win (4-1)	✅
31 May 2026	Segunda DivisiónZaragoza vs Malaga	Away Win	71%	—	Under 2.5 ✅	—	—	-0.3 (Home) ❌	Away Win (0-2)	✅
30 May 2026	Segunda DivisiónGranada CF vs Sporting Gijon	Away Win	47%	—	Over 2.5 ✅	—	—	-0.3 (Home) ❌	Away Win (1-2)	✅
30 May 2026	Segunda DivisiónAD Ceuta FC vs Albacete	Away Win	52%	Over 1.5 ❌	Over 2.5 ❌	Under 3.5 ✅	BTTS Yes ❌	-0.3 (Home) ✅	Home Win (1-0)	❌
29 May 2026	Ligue 1Nice vs Saint Etienne	Home Win	47%	Over 1.5 ✅	Under 2.5 ❌	Under 3.5 ❌	BTTS Yes ✅	-0.5 (Home) ✅	Home Win (4-1)	✅
29 May 2026	Serie BMonza vs Catanzaro	Home Win	49%	Over 1.5 ✅	Over 2.5 ❌	Over 3.5 ❌	BTTS Yes ❌	-0.5 (Home) ❌	Away Win (0-2)	❌
28 May 2026	Primeira LigaCasa Pia vs Torreense	Away Win	49%	Over 1.5 ✅	Under 2.5 ✅	Under 3.5 ✅	BTTS Yes ❌	-0.3 (Home) ✅	Home Win (2-0)	❌
27 May 2026	UEFA Europa Conference LeagueCrystal Palace vs Rayo Vallecano	Home Win	43%	Over 1.5 ❌	Over 2.5 ❌	Under 3.5 ✅	BTTS No ✅	-0.3 (Home) ✅	Home Win (1-0)	✅
26 May 2026	Ligue 1Saint Etienne vs Nice	Away Win	43%	Over 1.5 ❌	Under 2.5 ✅	Under 3.5 ✅	BTTS Yes ❌	-0.3 (Home) ❌	Draw (0-0)	❌

Ensemble Model

40.9%Ensemble Accuracy

28,206Settled Matches

Our v4 GradientBoosting model — the AI behind every tip we publish — currently scores 47.5% accuracy on 912 settled matches since deployment. This is in line with the inherent difficulty of 3-way football outcomes (random = 33.3%). Accuracy will stabilise as more data accumulates.

34.2%When All Models Agree

9,700All Models Agreed

Ensemble Score Distribution & Accuracy

Score RangeMatchesAccuracy

0-92360

32.2%

10-1910275

40%

20-295741

40%

30-393931

39.5%

40-492911

44%

50-591376

49.3%

60-69972

47.8%

70-79438

59.1%

80-89153

63.4%

90-9939

66.7%

100-10910

90%

Model Calibration

Does a higher confidence score actually mean a more accurate prediction? This chart answers that. We group every settled prediction by the internal confidence score the model assigned, then show the real win-rate for each group. A rising staircase is what you want to see — it means the model knows when it is more likely to be right.

Each bar groups model predictions by internal confidence score (0–100). The height shows how often those predictions were actually correct on settled matches. A rising pattern means the model’s confidence is meaningful: higher scores genuinely correspond to more accurate predictions. Data covers our core leagues where the model has proven signal. Hover for sample sizes. This is the model’s internal ranking score across every match it analyses — not the per-tip AI Confidence shown on the tips and homepage.

Model accuracy is calculated on settled matches only. The current model uses form, goals average and H2H data as input features. Accuracy improves as more live data is collected.