MLB PREDICTION

📊 Analytics & Metrics Dashboard

Welcome to your complete guide to MLB betting analytics. Professional bettors don't just look at box scores—they analyze contextual factors, environmental impacts, matchup advantages, and hidden edges that the public overlooks. Master these metrics and gain a systematic advantage over recreational bettors.

🏟️ Park Factors

Not all ballparks are created equal. Park factors measure how a stadium affects run scoring compared to a neutral environment. Understanding park context is crucial for totals betting and run line analysis.

How Park Factors Work

Park Factor Scale:

Example: Coors Field has a park factor of ~115, meaning games there produce about 15% more runs than average.

2024 Park Factors (Run Environment)

Ballpark Park Factor Classification Key Features
Coors Field (COL) 115 Extreme Hitter High altitude, thin air, huge outfield
Great American (CIN) 108 Hitter Friendly Small dimensions, favorable wind patterns
Globe Life Field (TEX) 106 Hitter Friendly Controlled climate, short porches
Fenway Park (BOS) 104 Slight Hitter Green Monster, short right field
Camden Yards (BAL) 103 Slight Hitter Right field short, home run friendly
Dodger Stadium (LAD) 97 Slight Pitcher Large foul territory, marine layer
Oracle Park (SF) 91 Pitcher Friendly Cold, windy, deep right-center
T-Mobile Park (SEA) 89 Pitcher Friendly Marine air, deep alleys, suppresses HRs
Marlins Park (MIA) 88 Extreme Pitcher Spacious, air-conditioned, dead ball

Applying Park Factors to Betting

Totals Betting Strategy:

🌤️ Weather Analytics

Weather is one of the most undervalued betting factors. Temperature, wind, humidity, and precipitation all impact game outcomes—and sharps know how to exploit this.

Temperature Impact

Key Temperature Thresholds:

Rule of Thumb: Every 10°F increase in temperature adds approximately 3-5 feet to fly ball distance.

Wind Direction & Speed

Wind Blowing Out

Speed: 10+ mph toward outfield

Impact: +0.5 to +1.5 runs on total

• Favor over bets
• Favor home run props
• Fade ground ball pitchers

Wind Blowing In

Speed: 10+ mph toward home plate

Impact: -0.5 to -1 run on total

• Favor under bets
• Fade power hitters
• Back fly ball pitchers

Cross Wind

Wind from left/right field

Impact: Minimal on totals, affects spray hitters

• Benefits opposite-field hitters
• Complicates defensive positioning
• Slight uptick in doubles/triples

Humidity Effects

High Humidity (70%+): Ball travels farther due to less air resistance. Increases home runs by ~5-8%. Favor overs in humid conditions, especially combined with warm temps.

Low Humidity (<40%): Dry air creates more resistance. Ball doesn't carry as well. Slight advantage to pitchers.

⚠️ Rain Delays: When games are delayed, bullpens get overworked. The team that was trailing before the delay often benefits from a "reset." Monitor rain forecasts and have a delay strategy.

⚔️ Platoon Splits & Matchup Advantages

Handedness matchups (lefty vs. righty) create significant edges. Professional bettors analyze lineup construction against the opposing starter's handedness.

Understanding Platoon Advantage

Historical Platoon Performance:

Lineup Analysis

Example Scenario:

Dodgers (7 RHB, 2 LHB) vs. Padres LHP starter

✓ Dodgers have platoon advantage across most of lineup
✓ If Padres' LHP starter has reverse splits (worse vs. RHB), edge amplifies
✓ Consider Dodgers team total over or first 5 innings over

Where to Find Platoon Splits:

🎯 Bullpen Leverage & Usage Metrics

Bullpens win and lose more games than most bettors realize. Understanding bullpen strength, fatigue, and leverage situations is critical.

Key Bullpen Metrics

Metric What It Measures Why It Matters
Leverage Index (LI) Importance of game situation (1.0 = avg) High-leverage situations reveal true closer talent
Bullpen FIP (Last 14 Days) Recent relief pitching performance More predictive than ERA, shows true talent
Innings Pitched (Last 3 Days) Workload/fatigue indicator Fatigued bullpens blow more leads
Shutdown Rate % of appearances without allowing inherited runners to score Indicates true "fireman" ability
Meltdown Rate % of appearances where leverage decreases significantly Measures consistency/reliability

Identifying Bullpen Fatigue

Red Flags for Tired Bullpens:

Betting Angle: When a strong bullpen is fatigued, fade them in late-game live betting or target team totals/overs.

⚖️ Umpire Impact Analysis

Home plate umpires have measurable impacts on run scoring. While the effect is smaller than most factors, it's still exploitable at the margins.

Umpire Metrics to Track

Strike Zone Size

Umpires with larger zones favor pitchers (fewer walks, more strikeouts). Favor unders.

Example: Ángel Hernández historically has ~103% league average zone.

High/Low Strike Tendency

Some umps call high strikes, others don't. Affects different pitch arsenals.

Track via Ump Scorecards on Twitter.

Home Team Bias

Yes, it exists. Some umps give home team an extra ~1-2% edge in borderline calls.

Slight edge to home favorites with biased umps.

Resources:

📅 Rest & Travel Metrics

Rest Days Impact

Team Performance by Rest:

Travel & Time Zone Changes

Significant Travel Disadvantages:

Betting Angle: Fade West Coast teams in East Coast day games, especially after overnight travel.

🔢 Key Performance Indicators (KPIs) for Betting

These are the metrics professional bettors check daily:

Pitching KPIs

Metric Good Threshold Elite Threshold
xFIP < 4.00 < 3.20
K-BB% > 15% > 22%
Hard-Hit Rate Allowed < 38% < 33%
Barrel Rate Allowed < 8% < 5%
Whiff% > 24% > 30%

Hitting KPIs

Metric Good Threshold Elite Threshold
wOBA > .320 > .370
wRC+ > 105 > 130
Hard-Hit Rate > 40% > 47%
Barrel% > 8% > 12%
K% < 22% < 16%

🎲 Situational Betting Edges

1. Divisional Games

Teams play division rivals 19 times per year. Familiarity reduces variance. Betting Edge: Fade large favorites in divisional games—underdogs cover more often due to familiarity.

2. Day Games After Night Games

Day-after-night games hurt performance, especially for teams that traveled overnight. Betting Edge: Slight advantage to well-rested home teams.

3. Bullpen Games (No Traditional Starter)

When teams use an "opener" or bullpen day, totals become harder to predict. Betting Edge: Avoid totals, focus on F5 (first 5 innings) markets where you can isolate the opener's impact.

4. Revenge Spots

After getting blown out, teams often bounce back strong the next day. Betting Edge: Consider betting on a team that lost by 5+ runs the previous game, especially at home.

📈 Synthesizing Multiple Metrics

Pro Bettor Workflow Example:

Game: Dodgers @ Giants

  1. Starting Pitching: Check xFIP, recent performance (last 3 starts), platoon splits
  2. Lineup Analysis: Who's in, who's out? Platoon advantage? Injuries?
  3. Bullpen Status: Usage last 3 days, FIP trends, any arms unavailable?
  4. Park Factor: Oracle Park (pitcher-friendly, wind typically blows in)
  5. Weather: 58°F, wind 12 mph blowing in from right field
  6. Umpire: Home plate ump has 102% zone size (pitcher-friendly)
  7. Travel/Rest: Dodgers played last night in LA, short flight, normal rest
  8. Line Movement: Opened Dodgers -145, now -140 (RLM toward Giants?)

Conclusion: Everything points toward a low-scoring game. Consider Under 7.5 runs if available.

🏆 Final Thoughts

Analytics and metrics are tools, not crystal balls. The goal isn't to find one magic stat—it's to synthesize multiple data points into a cohesive betting thesis. Professional bettors excel at:

Master the metrics. Understand the context. Find the edges. Win long-term.

Explore More Resources

Model Building Guide | Advanced Stats Hub | Line Movement Intelligence