If you’re all about the numbers, the MLB player stats page is where the action is. From batting averages and home runs to ERA and strikeouts, it’s the perfect place to dig into how players are performing across the league. Whether you're following your fantasy team, analyzing trends, or just love geeking out over stats, this page has it all. Want to see how those stats translate to today’s matchups? Head over to the MLB lineups page for up-to-date starting lineups and game-day insights.
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Contents
MLB player stats are the foundation of everything in fantasy baseball, DFS, and sports betting. Tracking individual player performance allows fans and sharp bettors alike to spot breakout trends, matchup edges, and long-term value. In 2025, advanced metrics have become just as important as traditional stats for projecting outcomes and finding betting advantages. Stats like OPS, K-BB%, xwOBA, and barrel rate offer a clearer view of a player’s current form and underlying skill. Books still price many props off outdated metrics, making deep stat knowledge a source of daily value. Stat trends also help determine roster decisions in season-long formats and optimize DFS builds. Understanding where a player thrives or struggles against pitch types or handedness sharpens your pregame angles. Combining matchup context with rolling stats separates good bets from great ones. Staying current on player stats is essential for profitable, informed decisions across every MLB format.
Each stat category provides unique insight into player performance and future potential. Slugging percentage and ISO reveal power upside, while OBP and walk rate show plate discipline and lineup security. Pitchers’ K-rate, ground ball rate, and CSW% are better indicators of dominance than raw ERA. Stats also shift based on lineup context, ballpark, and even weather, which must be accounted for in projections. Bettors who use player stat models are better positioned to find value in same-game parlays and alt lines. DFS players use advanced metrics to evaluate ceiling potential and avoid common traps like inflated recent performance. Stat research helps fantasy managers spot injury recoveries, breakout streaks, and hidden regression candidates. Being able to read beyond box score numbers is a huge edge in competitive formats. High-quality stat usage keeps you one step ahead of sportsbooks and the field.
When evaluating hitters, the most useful stats go beyond home runs and RBIs. Metrics like wRC+, xSLG, and hard-hit rate tell you how consistently a player produces against league averages. Expected stats help identify buy-low or sell-high candidates in fantasy and prop betting markets. xBA and xOBP often signal breakout potential before it appears in standard fantasy scoring. Barrel rate and launch angle help project home run upside and total base value. For DFS, ISO and contact quality (via exit velocity) are major drivers of ceiling outcomes. Fantasy managers rely on rolling stat trends to evaluate trade value and make tough weekly lineup calls. Bettors target hitters with elite contact and zone metrics when the matchup aligns. These stats form the foundation of a profitable, data-driven approach to MLB offense.
Fantasy managers also use hitting stats to determine optimal streaming hitters, lineup matchups, and trade value. In points leagues, plate appearances, walk rate, and strikeout rate play a massive role in weekly output. DFS players focus heavily on park factors and platoon splits tied to statistical performance. Some players thrive in high elevation or smaller parks, which boosts counting stat production. Weather and opponent pitch mix also influence expected output—especially for contact-first hitters or speed threats. Statcast data helps evaluate hitter hot streaks to confirm or fade recency bias. Betting alt total bases or combo hits props requires understanding these nuances. Plate discipline metrics like chase rate and swing decisions also indicate stability and volatility. Hitting stats are the most exploitable data for both fantasy trades and prop betting value.
Pitcher evaluation in 2025 relies on more than just ERA and strikeouts. Dominance is best measured by stats like CSW%, swinging strike rate, and expected ERA (xERA). K-BB% is a top indicator of command and strikeout upside, which correlates directly to prop value and fantasy performance. Advanced metrics like FIP and SIERA help project sustainability across different ballparks and matchups. DFS players use these numbers to target high-K arms in GPPs or find safe floor pitchers in cash contests. Betting on strikeout props or earned run unders depends on knowing pitch count trends and opposing lineup stats. Understanding a pitcher’s arsenal and how it plays against contact profiles creates a true betting edge. Fantasy streamers can ride hot trends in chase rate and zone contact suppression. Pitching stats offer actionable angles in nearly every MLB format.
Fantasy managers use strikeout rate, chase rate, and WHIP to evaluate consistency and streaming upside. High-leverage relievers with strong K metrics often offer save or hold value even in committees. DFS value plays come from understanding pitch usage—like a pitcher increasing slider rate against righty-heavy lineups. Park factors, opposing team wOBA splits, and umpire zone tendencies all affect projections. Betting unders on K props or earned runs is easier with command metrics and recent location data. Advanced metrics smooth out noisy box scores and reveal pitchers about to surge or collapse. In-season, sharp bettors track rolling stat trends to fade or follow pitcher props. Fantasy GMs look at BABIP and strand rate to determine whether ERA rises or falls. Stat scouting keeps you prepared, even before lineups or news break.
In DFS, stats tell you who is underpriced and who offers leverage in large-field tournaments. Identifying hitters with elite contact quality despite recent slumps can result in breakout GPP performances. Pitchers with rising swinging strike trends often come in lower-owned and deliver elite ceilings. Advanced stats let you go beyond surface-level matchup data to uncover true risk/reward profiles. DFS value also comes from correlating player stats to opposing pitcher weaknesses or bullpen fatigue. Prop bettors use rolling metrics and contact types to identify mispriced lines before books update. Game totals and team context influence individual player outcomes, but underlying stats drive prediction accuracy. Player stat trends are particularly helpful for betting K ladders, combo hits, or alt home run props. Knowing which stats lead to real results is what separates profitable plays from speculative ones.
Fantasy players also benefit by tracking usage-based stats like pitches per plate appearance and swing decisions. Understanding how hitters and pitchers trend in specific ballparks, divisions, and time slots helps narrow the player pool. Team-level trends matter too, but stat-savvy DFS users rely on granular player-level metrics. Combining handedness splits, zone contact, and pitch mix stats offers deeper matchup projections. Alt-line props are especially beatable when paired with rolling stat trends. Public bettors rely too much on recent box scores, while sharp bettors fade or follow based on predictive metrics. DFS players who track advanced stats outperform over the long haul. Knowing when to pivot off inflated pricing after a fluky game is a key edge. Daily success starts with knowing the stats that drive performance.
There are dozens of platforms offering MLB player stats, but only a few provide actionable data for bettors and DFS players. Sites like FanGraphs, Baseball Savant, and Baseball Reference offer traditional and advanced stat breakdowns. Statcast data gives insight into things like launch angle, exit velocity, and sprint speed. Fantasy managers and prop bettors alike benefit from real-time access to rolling data and predictive metrics. Daily projections from sources like THE BAT X and ZiPS add another layer of sharpness to lineups and betting models. Many DFS optimizers now integrate Statcast metrics to provide leverage scores and slate-adjusted value. Prop bettors can also download game logs and apply regressions to predict overs and unders based on trends. The best stats aren't just accurate—they're timely and fit the format you're playing. Building a routine around elite stat sources leads to better picks, better bets, and better ROI.
Team and player dashboards can also be built using tools like Google Sheets, R, or Python for more personalized projections. Some stat tools even offer rolling splits by ballpark or opposing pitcher handedness. Stat aggregation helps filter out noise and focus on trends that matter most for betting outcomes. Keeping your sources current with injury updates, lineup context, and role changes improves forecast accuracy. Data interpretation matters just as much as the numbers themselves. Fantasy players using these dashboards often outperform default projections. For bettors, custom models using Statcast input can project optimal bet ranges by prop type. Combining sources gives you a cross-validated stat model to rely on. Mastering your tools makes you a sharper MLB player in any format.
Understanding player stat volatility is crucial for identifying stable contributors versus high-risk plays. Metrics like standard deviation of fantasy points or game-by-game wRC+ trends provide insight into streaky behavior. DFS players can use volatility scores to find GPP-friendly picks with high ceilings and low ownership. In betting, players with consistent stat profiles are better suited for prop ladders and multi-leg parlays. High-variance players can be targeted for alternate lines but may underperform in cash formats. For pitchers, volatility in walk rate, pitch location, or BABIP can signal whether recent performance is sustainable. Fantasy managers can filter volatility through matchup consistency, ballpark factors, and lineup role. Tracking consistency alongside advanced metrics paints a complete picture of projection reliability. Stat volatility isn’t just noise—it’s a layer of prediction for sharper roster and bet choices.
Clutch performance stats help measure how players perform in high-leverage moments. Metrics like Win Probability Added (WPA), performance with RISP, and late-inning OPS can reveal hidden value in big spots. While clutch stats may not be predictive in small samples, tracking them over time helps identify players who consistently elevate their performance. Prop bettors can target high-leverage hitters for RBI and walk props in tight games. DFS players may favor clutch hitters in late-game environments or prime-time showdowns. Fantasy managers may want to hold or acquire clutch performers for playoff runs or H2H tiebreakers. Teams also rely on these stats when setting lineups and deciding pinch-hit situations. Pitchers who excel under pressure often earn more saves and high-leverage holds. Clutch data provides narrative-driven edges rooted in measurable output.
Tracking player stats throughout the season helps project award races like MVP, Cy Young, and Rookie of the Year. Betting on award futures requires understanding how voters weigh stats like WAR, ERA+, OPS+, and dominance in key matchups. Fantasy and DFS users can also use this data to ride the momentum of surging candidates. Books adjust award odds weekly based on both performance and media narrative, creating windows of value. Comparing a player’s metrics to past winners provides a benchmark for predicting award legitimacy. Betting awards requires balance between surface stats and advanced metrics. Tracking award leaderboards alongside player props can highlight strong correlation. Late-season surges, especially in playoff-contending teams, can drastically shift award markets. Staying ahead of awards tracking helps you bet into favorable odds before the public catches on.
Boost your player stat bets by using the latest sportsbook promos available throughout the 2025 MLB season. These offers include odds boosts, parlay insurance, and stat-based milestone bonuses for player performance markets. Betting props tied to strikeouts, hits, home runs, and total bases become more profitable when paired with smart promos. Some sportsbooks offer stat-triggered promos—like “Win if your player gets 2+ hits”—which increase value on hot hitters. Pitching boosts are common on weekends, especially when aces face off or strikeout ladders are featured. Understanding the matchup and using promos on high-floor plays reduces risk and increases ROI. Always read the terms to ensure your bet type qualifies and isn’t voided by scratches. Matching promos with good stat-based models turns casual plays into consistent wins. Sportsbooks reward stat-savvy bettors who use promotions wisely.