ADVANCED SPORTS ANALYTICS

PROPULATION

Data-Driven Projection Models

Institutional-grade pitcher and player projection systems built on Bayesian modeling, real-time data pipelines, and machine learning — designed to give you a consistent edge.

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3+
Projection Models
700+
Pitchers Tracked
Real-Time
Vegas Line Integration
MLB · NPB · KBO
Leagues Covered

Models

Projection Systems

Each model is purpose-built for its league — accounting for park factors, lineup construction, umpire tendencies, and real-time Vegas movement.

● LIVE
MLB · PITCHER PROJECTIONS
MLB K Model

Per-batter strikeout probability engine with Bayesian H2H blending, platoon splits, pitch mix analysis, and full fantasy scoring.

xFIP/SIERA
ERA BASE
Lineup Intel
MATCHUP ANALYSIS
Launch K Model
COMING SOON
KBO · PITCHER PROJECTIONS
KBO K Model

Korean Baseball Organization strikeout projections adapted for KBO park factors, translation adjustments, and league-specific tendencies.

KBO → MLB
TRANSLATION
Park Adj.
BALLPARK FACTORS
Coming Soon
COMING SOON
NPB · PITCHER PROJECTIONS
NPB K Model

Nippon Professional Baseball strikeout projections with full NPB-to-MLB translation factors and league-adjusted Bayesian priors.

NPB → MLB
TRANSLATION
Pitcher DB
FULL ARSENAL DATA
Coming Soon

How It Works

Built Different

Most projection tools treat every at-bat the same. We don't. Every projection accounts for the specific pitcher-batter matchup on that day.

🎯

Per-Batter Modeling

K probability is computed individually for each batter in the lineup — accounting for handedness, chase rate, zone contact, and historical H2H data.

📊

Bayesian H2H Blending

Head-to-head matchup data is blended with population priors using PA-weighted Bayesian inference — no more small sample size noise.

Real-Time Vegas Integration

Live K lines, outs lines, and prop odds from DraftKings, FanDuel, BetMGM, and Caesars — pulled automatically and baked into every projection.

🏟️

Full Game Context

Park factors, umpire K tendencies, weather, wind direction, day/night splits, and rest days are all factored into the final projection.

🔬

xFIP / SIERA Base

We use xFIP and SIERA instead of ERA as the ERA base — more predictive, less noise from defense and sequencing luck.

📈

Lineup Intel

Pitcher archetype vs lineup vulnerability analysis — automatically flags when a chase-dependent pitcher faces a lineup full of chasers.

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PROPULATION · K MODEL
K
PACK
7 PLAYS TODAY

CLICK TO REVEAL
👆
TOP OVER★★★☆☆
BOS
PT
vs NYY · 5.2 xIP · LHP
Payton
TOLLE
5.1
PROJ K
58%
OVER PROB
100%
MDL CONF
+0.6 vs 4.5 line

HIGH CONVICTION
STRONG OVER★☆☆☆☆
TEX
JD
vs PIT · 6.0 xIP · RHP
Jacob
deGROM
6.6
PROJ K
51%
OVER PROB
67%
MDL CONF
+0.1 vs 6.5 line

SPECULATIVE
EXTREME DANGER
SD
MW
vs COL · 5.0 xIP · RHP
Matt
WALDRON
4.3
PROJ K
2.45
WHIP
21%
K%
PROJ FPTS: 23.4 (+2.9 vs 20.5)

DESIGNATED DUD OF THE DAY
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How The Model Calculates

A multi-stage pipeline that starts with pitcher arsenal data and ends with a per-start K distribution and fantasy scoring breakdown.

01

Pitch Mix Analysis

Each pitch type's whiff rate, chase rate, and zone contact rate is pulled from Baseball Savant and weighted by usage frequency.

02

Batter Vulnerability Scoring

Each lineup spot gets a K probability based on their chase%, zone contact%, and historical performance vs this pitcher's arsenal.

03

Bayesian Prior Blending

H2H data is merged with league-average priors. The more PA in the matchup, the more the actual data overrides the prior.

04

Monte Carlo Simulation

10,000 simulated starts produce a full K distribution — projectedK, confidence interval, over/under probability vs Vegas line.

// Sample projection output
pitcher: "Tarik Skubal"
projectedK: 7.4
confidence: 6.0 – 9.0
vegasLine: 6.5
overProb: 68.4%
edge: +0.9K vs line

// Lineup Intel
archetype: "Power / Whiff"
chasers: 6 / 9 batters
verdict: "Favorable ↑"

// Fantasy
projFPTS: 41.2
winProb: 58%

Lineup Intelligence

Pitcher Archetype vs. Lineup Vulnerability

One of the most critical — and most overlooked — factors in a pitcher K prop is understanding how a pitcher gets strikeouts, and whether tonight's lineup actually enables that approach. Our Lineup Intel system classifies every pitcher by archetype and scores the opposing lineup accordingly.

A chase-dependent pitcher who relies on batters swinging at pitches outside the zone is only dangerous against lineups that actually chase. Put him against a disciplined lineup and his K rate collapses — regardless of what the Vegas line says. Conversely, a zone dominator who generates whiffs on pitches in the zone remains effective even against patient lineups. Knowing the difference before you bet is everything.

Chase-Dependent vs Disciplined Lineup
⚠ UNFAVORABLE MATCHUP
Chase-dependent pitcher vs disciplined lineup
Only 2/9 batters chase above league average — a red flag for any pitcher who relies on induced chases to generate strikeouts. The model flags this as a fade signal.
Contact Pitcher vs Contact Lineup
⚠ UNFAVORABLE MATCHUP
Contact pitcher vs contact-capable lineup
A low-whiff contact pitcher facing a lineup that makes consistent contact — K upside is structurally limited regardless of the Vegas line. Classic under situation.
Zone Dominator — Matchup Neutral
— NEUTRAL MATCHUP
Zone dominator vs any lineup
A pitcher who generates whiffs on pitches in the zone stays dangerous regardless of lineup discipline. Chase rate of the opposing bats matters far less here.

The bottom line: Before finalizing any K prop bet, check the pitcher archetype, count how many batters in the lineup match the pitcher's vulnerability profile, and let that inform your confidence level. Our model does this automatically — and shows you the full breakdown for every starter.