⚡ AI-powered betting intelligence

Stop guessing.
Start knowing.

We run every Premier League player through statistical models before each matchday. You get the edge. The bookies don't know what hit them.

View Today's Picks → See how it works
10,000+ data points Updated every matchday Premier League 25/26
495
Players Scored
Card Radar · Very High
93
Bruno Fernandes
MUN vs LIV
Goals Lab · Over 2.5
78%
Arsenal vs Chelsea
S. Hooper (4.1/gm)
Assist-ant · Top Pick
0.42
Saka · A/90
ARS vs CHE
SoT Finder · Top Pick
1.82
Haaland · SoT/90
MCI vs AVL
Value vs Odds · Bruno
+36%
Card price @3.50
Model says @2.57
BTTS Probability
76%
Wolves vs Forest
T. Robinson (4.8/gm)
Value vs Odds · Bissouma
+42%
Card price @4.00
Model says @2.82
Track Record
58%
Very High accuracy
2.8x vs baseline

Your edge, visualised.

Every player. Every fixture. Every angle. Our models crunch the numbers at 5AM so you wake up with the sharpest picks in the game.

betbuilderai.com/card-radar
Rankings
Value Finder
Track Record
Methodology
Referees
Very High Risk
2
Players scoring 85+
High Risk
23
Players scoring 65+
Avg Score
41
Across 193 players
Top Rated
93
B. Fernandes
1
Bruno Fernandes
Man United vs Liverpool · MID · J. Brooks (4.4/gm)
93
VERY HIGH
+36%
2
Casemiro
Man United vs Liverpool · MID · J. Brooks (4.4/gm)
89
VERY HIGH
+8%
3
João Gomes Wolves · Midfielder · ● 5/5 · XI · H2H 🟨
vs Nott'm Forest (A) · T. Robinson (4.8/gm) · #20
88
VERY HIGH
-9%
Player Score
Card Radar
7.9
Aggression
8.6
Opp. Foul-Draw
8.7
Match Importance
6.2
Referee
×1.04
Fixture Rating
Rivalry
1/5
Importance
5/5
Raw Stats
Apps24
Minutes1936
Yellows8
Fouls50
Cards/900.37
Fouls/902.32
F:C Ratio6.3
Tackles/903.21
Opponent Midfielders
E. Anderson
Midfielder
FD/90: 2.32
DR/90: 2.52
M. Gibbs-White
Midfielder
FD/90: 1.19
DR/90: 1.44
4
Declan Rice
Arsenal vs Chelsea · MID · S. Hooper (4.1/gm)
78
HIGH
=0%
5
Yves Bissouma
Tottenham vs Newcastle · MID · C. Kavanagh (4.0/gm)
74
HIGH
+42%

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🔧 Five tools. One mission.

Built for every bet builder leg.

Cards. Assists. Shots. Goals. We don't just cover one market — we cover the lot. Each tool is purpose-built with its own scoring model.

🟡
Card Radar
Who's getting booked tonight? We score every outfield player on discipline, aggression, referee tendencies, rivalry intensity, and opponent provocation. The bookies set card lines on vibes. We set them on data.
🎯
Assist-ant
Find the creative players who make things happen. Key passes, chance creation, final-third entries, and the opponents who can't stop them. An assist is never random — it's predictable.
🎯
SoT Finder
Shots on target is one of the highest-value bet builder legs. We find the volume shooters facing leaky defences — the players who can't stop pulling the trigger.
⚽
Goals Lab
Over 2.5. BTTS. Anytime goalscorer. We model expected goals from both sides using attack strength, defensive weakness, and historical H2H data. The goals market, decoded.
📊
Stat Packs
Raw statistical breakdowns for every fixture. Team form, player rankings, shooting accuracy, defensive records. For when you want to do your own analysis with the best data available.
📈
Track Record
We don't hide from our results. Every prediction is verified against actual match events the morning after. Hit rates by tier, score threshold accuracy, and season-long performance — all public.
⚙️ Under the hood

Three steps. Zero guesswork.

01
Data Ingestion
Every matchday, our pipeline pulls live data — player stats, team form, referee assignments, injuries, confirmed lineups, and H2H records. Over 10,000 data points processed.
02
Model Scoring
Each player is scored 0–100 across multiple models. Card risk, assist probability, shot output, goal expectation — weighted by fixture context, positional matchups, and form.
03
Results Verified
Morning after, our system checks every prediction against actual events. No manual input. No cherry-picking. Your trust is built on transparent, automated accountability.
bet-builder-ai — pipeline

Our models don't just run — they learn. Every matchday result feeds back into the system, refining weights, adjusting for form shifts, and tightening accuracy over time. The more data we process, the sharper the edge gets.

📊 Verified results

Our predictions. Our receipts.

Every matchday, we put our model on the line. Here's how it's performing this season.

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