EFFICIENCY & EXECUTION
Offensive and defensive production, yards per play, available EPA inputs, pressure and takeaway proxies, and recent form.
Efficiency beyond the final score.THE MODELS BEHIND VIQTORY
BUILT FOR
THE GAME.
Seven leagues. Different inputs. One connected research experience. Explore the work behind our team ratings, matchup analysis, and market comparisons.
01 / TEAM STRENGTH
RATE THE TEAM.
League-specific performance and recent form.
02 / GAME CONTEXT
READ THE MATCHUP.
Translate team strength into the game ahead.
03 / MARKET COMPARISON
SEE THE DIFFERENCE.
Compare the model’s view with the available line.
7 LEAGUESDedicated rating paths
TEAM to GAMEStrength and matchup are distinct
CONTEXTRecent form and league-specific inputs
REVIEWHistorical audits and validation tooling
A MODEL FOR EACH SPORT
THE DETAILS
CHANGE THE GAME.
A possession, a play, a run, and a goal tell different stories. Our rating paths reflect those differences. Input depth varies with data coverage; score-based fallbacks support teams when detailed inputs are unavailable.
OFFENSE MEETS DEFENSE
Football-specific offensive and defensive components, including success-rate inputs where available, feed team and matchup ratings.
Different opponents. Different context.POSSESSION BY POSSESSION
Pace-adjusted offense and defense, rebounding, turnovers, and recent form form the detailed basketball rating path.
Separate efficiency from pace.A DEDICATED LEAGUE LENS
The WNBA has its own league data and rating path, using pace-adjusted production, rebounding, turnovers, and recent form.
Evaluate teams within their league.EFFICIENCY & OPPONENT CONTEXT
Possession-based team ratings sit alongside a college-specific adjusted-efficiency pipeline with opponent adjustment, recency weighting, and shrinkage.
A familiar foundation, Viqtory’s implementation.MORE THAN A TEAM RECORD
Offense, starting pitching, bullpen, defense, and situational components use inputs such as OPS, ERA, WHIP, and recent run margin.
Pitching and run production matter.GOALS & GAME CONTEXT
The shared rating engine uses completed-game scoring results, goals for and against, and recent form before the matchup layer.
A score-derived foundation for hockey.READING THE OUTPUT
STRENGTH. PROBABILITY.
EDGE.
These numbers answer different questions.
TEAM RATING
A measure of team strength within a model and league. An 80 rating does not mean an 80% chance to win.
GAME ESTIMATE
A matchup-specific view of the teams and game context. Team strength is one input to the forecast.
MARKET EDGE
The difference between the model’s view and the market reference. A disagreement identifies an angle to research; it does not guarantee a result.
VIQTORY & THE ESTABLISHED REFERENCES
COMPARE THE
APPROACH.
KenPom is a natural comparison for college basketball. Across other leagues, the useful reference changes. This compares scope and methodology - not a verified accuracy ranking.
| Model | Coverage | Approach | How to use the comparison |
|---|---|---|---|
| Viqtory | Seven league rating paths | League-specific inputs to team ratings to matchup context to a separate market comparison. | Connect team strength with the game and the research workflow. |
| KenPom | Mens college basketball | Opponent-adjusted offensive and defensive efficiency; adjusted efficiency margin expresses team strength. | A specialist benchmark for college basketball efficiency. |
| Bart Torvik / T-Rank | Mens college basketball | A predictive college basketball rating recognized by the NCAA alongside KenPom and BPI. | Another predictive perspective for college basketball evaluation. |
| ESPN BPI | Basketball | Forward-looking team quality. | A predictive basketball reference. |
| ESPN FPI | Football | Predictive football team strength. | A football forecasting reference. |
| NCAA NET | Division I basketball | Team Value Index and adjusted net efficiency combine quality of results with efficiency and game location. | A tournament-evaluation sorting tool; a different purpose from a market edge. |
Model names link to their publishers’ explanations. Sources reviewed September 6, 2026. Viqtory is independent of these organizations.
THE KENPOM QUESTION
SHARED PRINCIPLES.
DISTINCT MODELS.
KenPom evaluates college basketball through adjusted efficiency. Viqtory’s college pipeline also uses possession and opponent context, with its own recency, shrinkage, and conference adjustments. Similar ingredients do not produce an identical model.
Viqtory extends the experience across seven leagues and connects ratings to matchup research and market context. That breadth is a product distinction - not evidence of greater predictive accuracy. Read KenPom’s efficiency definitions.
HOW A FAIR COMPARISON WORKS
EVIDENCE BEFORE
A WINNING CLAIM.
Our codebase includes historical audits and walk-forward evaluation tools. We have not established a verified, matched-game head-to-head result against the systems above.
SAME GAMES
Compare the same leagues, dates, and games, with the number of evaluated predictions clearly shown.
PREGAME SNAPSHOTS
Use forecasts saved before the game and keep training data separate from evaluation. Later ratings cannot stand in for pregame predictions.
THE RIGHT MEASURE
Evaluate probability calibration, scoring error, and winner accuracy separately. Market results also need the line, price, and timestamp.
PUT THE MODELS IN CONTEXT