Today's sports predictions across every sport CheckLive covers — football leading (90+ leagues worldwide), then hockey (KHL, NHL, AHL, IIHF), basketball (NBA, EuroLeague, regional first divisions), and tennis (ATP, WTA, ITF). Rated by the same AI engine across all sports.
Football dominates this page because football dominates the global sports calendar. On most days you will see 80%+ of the slate as football matches — Premier League, La Liga, Serie A, Bundesliga, Champions League, plus the African, South American, and Asian first divisions. Hockey, basketball, and tennis fill in during their respective seasons.
Every prediction on this page — regardless of sport — uses the same four-pillar framework: CheckForm (recent performance), CheckSkill (long-term team class), CheckMental (pressure context), and a Composite weighted 45% / 35% / 20%. The AI selects the most reliable market per match based on a profile classifier — lopsided contests get 1X2, balanced get Double Chance, high-scoring get Total Goals or BTTS.
Our accuracy measurement is football-specific: 10,901 finished matches over 180 days, full breakdown published openly. Hockey, basketball and tennis share the same engine architecture, but we have not yet published separate measurements for them — one number does not apply to all sports, and pretending otherwise is the kind of dishonesty that defines the tipster industry.
One AI Engine, Four Sports — How It Works
The CheckLive prediction engine is sport-agnostic. The same four-pillar architecture — CheckForm, CheckSkill, CheckMental, Composite — runs on football, hockey, basketball, and tennis. The differences are in the input data, not the math.
What's the same across sports:
- The weighting. 45% Skill + 35% Form + 20% Mental, in every sport.
- The Composite formula. A weighted sum produces a number; the difference between two team Composites runs through a logistic curve to produce win probability.
- The Confidence™ scale. 50–95 in every sport. Floor of 50 (no false certainty on coin-flips). Ceiling of 95 (no false certainty ever).
- The match profile classifier. Lopsided vs balanced vs high-scoring vs defensive logic runs on every sport, with sport-specific thresholds.
What changes per sport:
| Sport | Form ingredient | Skill ingredient | Mental ingredient |
|---|
| Football | last 5–10 matches goals/clean sheets | league position, last 3 seasons | home/away splits, must-win context |
| Hockey | goals for/against, PP/PK %, save % | divisional standing, roster depth | playoff race, key player health |
| Basketball | offensive/defensive rating, last 10 games | conference standing, star availability | back-to-back, travel, rest days |
| Tennis | recent set wins, court surface form | ATP/WTA ranking, head-to-head | surface preference, fatigue |
Our accuracy measurement is football-specific: 10,901 finished matches over 180 days, full breakdown published openly. Hockey, basketball and tennis share the same engine architecture, but we have not yet published separate measurements for them — one number does not apply to all sports, and pretending otherwise is the kind of dishonesty that defines the tipster industry.
Unión La Calera — Universidad CatólicaAway win — Universidad Católica1.91High confidence69%
Deportes Iquique — AntofagastaAway win — Antofagasta2.70High confidence62%