Advanced MLB predictions powered by WAR, xFIP, wOBA, and cutting-edge sabermetrics. Statistical analysis built for anyone who trusts the numbers over narratives.
Data-driven analysis of the WBC's impact on the 2026 MLB season. Pitcher workloads, player performance projections, and how international tournament play affects regular season outcomes.
Sharp lines, fast payouts, and a premium sportsbook experience.
Must be 18+ to wager. Gambling Problem? Call 1-800-GAMBLER.
Connelly Early brings a 2.63 ERA and 15 strikeouts into a matchup with Simeon Woods Richardson, whose low strikeout rate and three homers allowed create Boston's clearest model edge.
Model projects 9.2 combined runs. Perez's 9 walks in 16 IP feed a Braves lineup hitting .274 with .791 OPS and 5.63 R/G. Three double-digit scoring games at Truist in the last 2 weeks.
Model projects Dodgers at 59.8% win probability, creating +4.7% expected value at -124. Sasaki's 1.56 WHIP and 1.37 K/BB ratio face a lineup hitting .297 with 6.38 R/G.
Chris Bassitt is carrying a 14.21 ERA through two starts, Baltimore has lost seven of ten, and Logan Webb's xFIP sits nearly two full runs below his ERA. Full 15-game Saturday breakdown with a pick on every matchup.
Dustin May's 15.95 ERA is a small-sample mirage. Three independent models (xFIP adjusted, platoon split, park factor) all push St. Louis above the +124 implied probability. Jordan Walker leads MLB with five home runs. The sharpest underdog on the April 10 fifteen-game slate.
Multiple projection models converge in the 62-70% win probability range. Nolan McLean ranked #1 pitcher on Thursday's slate by ESPN projections. Arizona 1-4 on the road, cold 47-degree weather at Citi Field suppresses offensive volatility.
Ohtani's 0.00 ERA collides with Cease's 18-strikeout debut in Toronto. The model projects 6.4 combined runs, a full run below the 7.5 total, with the Dodgers' MLB-best .292 average creating a decisive offensive gap.
Paul Skenes at PNC Park in cold April weather against Nick Pivetta. The model projects 5.0 combined runs, a full run below the posted 6.0 total. xFIP convergence, park factor suppression, and K-rate dominance all point under.
Logan Gilbert's 6.75 ERA through two starts masks elite underlying metrics. His 2.27 xERA represents the largest ERA-xERA gap among qualified starters, suggesting sharp regression ahead.
Data-driven analysis backing Mets-Giants Under 7.5 at Oracle Park. Senga's velocity spike, Webb's 54.9% ground-ball rate, and park factor convergence.
Shota Imanaga's 7.20 ERA is noise over one start. His career 3.34 ERA and 298 K track record vs Cecconi's projected 4.38 ERA creates a clear statistical edge. Run expectancy and K% differential analysis inside.
Dylan Cease (1.69 ERA, franchise-record 12 K debut) faces Grant Taylor (4.50 ERA, converted reliever) in a massive pitching mismatch. Run expectancy modeling, K% analysis, and the statistical case for the run line.
Crochet's 2025 campaign produced 255 strikeouts, a 2.59 ERA, and a 1.05 WHIP across 205.1 innings. His 97.6 mph average fastball velocity and 5.54 K/BB ratio place him in rare statistical territory for left-handed starters. Full projection model output and velocity sustaining analysis.
Complete statistical projection analysis for all 15 Monday pitching matchups. Sasaki vs Messick at Dodger Stadium leads the slate with the widest win probability gap. Verlander aging curves, Castillo at T-Mobile Park, and early-season calibration signals.
Luzardo (2.90 FIP, 6.6% barrel rate, .285 xwOBA) vs Gore (3.74 FIP, 10.6% barrel rate, .322 xwOBA) at Citizens Bank Park. Complete Statcast contact quality breakdown and model output analysis.
Advanced metric projections for all 8 March 27 pitching matchups. Skubal vs Pivetta at Petco Park, Yamamoto vs Gallen at Dodger Stadium, and Sale vs Ragans headline the slate with park-adjusted FIP analysis.
Statistical breakdown of all 11 Opening Day pitching matchups. Four sub-2.60 ERA starters, two back-to-back Cy Young winners, and the World Series MVP all take the mound on March 26.
Tarik Skubal's 2.45 FIP and 0.89 WHIP meet Nick Pivetta's 3.49 FIP at pitcher-friendly Petco Park (runs factor 94). Full statistical breakdown of the Opening Day pitching mismatch.
Max Fried's 2.86 ERA and 3.07 FIP meet Logan Webb's 2.56 FIP and 3.10 home ERA at Oracle Park, where the HR factor sits 24% below league average. Full projection breakdown for Opening Night.
Deep statistical analysis of MLB's new ABS challenge system launching in 2026. How automated ball-strike technology impacts umpire accuracy, strikeout rates, walk rates, and what it means for totals and prop betting models.
Advanced analytics breakdown of Yoshinobu Yamamoto's dominant spring training finale: 7 K's in 5 scoreless innings vs Padres. Pitch mix data, 2025 advanced stats, and 2026 season projections.
Data-driven analysis of Rob Manfred's proposal to move the WBC to midseason. How would a mid-year international tournament impact player performance, injuries, and win totals?
Advanced analytics deep dive on Nolan McLean's meteoric rise from Mets prospect to Team USA WBC Championship starter. Statcast data, Stuff+ grades, spin rates, and 2026 MLB season projections.
Deep statistical breakdown of Venezuela's 3-2 WBC championship victory over Team USA. Pitching matchup data, bullpen usage, and why Eduardo Rodriguez's 4.1 scoreless innings changed everything.
How WBC performances, pitcher workloads, and advanced stats project into the MLB regular season for key players. Paul Skenes, Ohtani, and the data behind Venezuela's surprise run.
NPB to MLB transition projections for Team Japan's top WBC prospects. WAR estimates and advanced metrics for Itoh, Sato, Morishita, Maki, and Takahashi.
Data-driven analysis of Moreno's forearm tightness and what it means for Arizona's catching depth, projected WAR output, and offensive production behind the plate in 2026.
Data-driven breakdown of every WBC tiebreaker scenario keeping Team USA alive. Head-to-head, run differential, ERA, and batting average tiebreaker rules explained with statistical context.
Deep sabermetric analysis of Clayton Kershaw's legendary career. 2.53 ERA, 3,052 strikeouts, .699 W-L%. ERA+, FIP, WAR and advanced stats prove why he's the best left-handed pitcher in modern baseball history.
Pitch-by-pitch Statcast analysis of Roki Sasaki's cutter vs slider experiment. Spin rate data, movement profiles, proStuff+ breakdown and why the Dodgers' rotation hinges on one pitch.
Marte brings a career 30.9 fWAR and elite baserunning metrics to Kansas City. Full WAR projections, defensive range analysis, and what the advanced stats say about his fit in the Royals' lineup construction.
Advanced statistical analysis of Cooperstown-track players in the 2026 World Baseball Classic. Ohtani, Judge, Soto, Machado, and Witt Jr. career WAR trajectories and Hall of Fame probability projections through age-adjusted models.
Statistical deep dive into all 20 WBC rosters. 304 MLB players, 78 former All-Stars. Aggregate talent metrics reveal which pools are toughest and where the data says the market is mispricing contenders.
Statistical breakdown of the top 5 MLB lineups for 2026. Dodgers, Braves, Mets, Mariners, Blue Jays ranked by OPS+, wOBA, barrel rate, and projected run production.
How MLB offseason moves shifted 2026 WAR projections and projected win totals. Dodgers at 100 wins, Astros collapse to 81, Cubs surge with Bregman addition.
Three developments out of MLB camps carry real analytical weight for 2026 projections: Roki Sasaki's pitch arsenal expansion, Atlanta's compounding rotation losses with Schwellenbach on 60-day IL, and Aaron Judge's elbow recovery timeline ahead of the WBC.
Houston reacquired Joey Loperfido from Toronto for Jesus Sanchez. Loperfido's 2025 slash of .333/.879 OPS in 41 games vs his .197/.236/.343 in 2024 creates a fascinating analytical question about sample size vs true talent level.
The former MVP re-signs for a third of last year's salary. His OPS+ cratered from 178 in 2022 to 100 by 2024. At $4M for a platoon role, the WAR math projects 0.5-1.0 fWAR against lefties.
Paredes' .353 wOBA against a .320 xwOBA suggests 2025 overperformance. His 87.4 mph exit velocity and 6.3% barrel rate raise questions, but plate discipline and positional versatility project 2.5-3.0 fWAR.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Free MLB predictions and WAR-based analysis for anyone who trusts the numbers over narratives.