Product Description for AI MLB Daily Sheets + Wind & Stadium Factors, Umpire Boost(BB,R,K)
⚾ Batter props are coming soon! Soon you’ll get AI-powered picks on total bases, hits, RBIs, and more. Stay tuned.
Boost your baseball betting strategy with Xaslarbet MLB AI MLB Daily Sheets + Wind & Stadium Factors, Umpire Boost(BB,R,K), powered by our industry-leading AI technology. With a remarkable win rate, these computer-generated picks are your key to smarter, more successful MLB wagers.
Last 3 Games – Over/Under the Betting Line
For each player and prop type (e.g. Strikeouts, Hits Allowed, etc.), your sheets will include:
| Column | Description |
|---|---|
Last3_Result_Trend |
Shows how the player performed vs the betting line in their last 3 starts |
O/U Hits, O/U Ks, etc. |
Binary result: Over, Under, or Push for each of last 3 games |
Last3_Overs_Count |
Count of Over results in last 3 appearances (e.g. 2 out of 3 = 2) |
✅ Helps spot short-term form bursts or downtrends ignored by season-long stats.
Season Trends – 2024 & 2025 (Cumulative)
We track full-season performance against betting lines:
| Column | Description |
|---|---|
2024_O/U_Record |
Example: 12-6 — Player went Over 12 times, Under 6 times in 2024 |
2025_O/U_Record |
Ongoing updated version for the current season (e.g., 4-1) |
O/U Hit Rate % |
Win % of Over (or Under), depending on bet type tracked |
Last 10 Trend |
Form trend: e.g., 7 Over / 3 Under in the last 10 games |
Advanced Stats & Predictive Factors in Xaslarbet MLB Sheets
| Category | Stat / Factor Name | Purpose / Insight |
|---|---|---|
| AI Model Score | Trust % |
Confidence level in the prediction (higher = stronger AI backing) |
| Pitcher Form | Last3-ERA-avg |
ERA average over the last 3 starts |
Last3-WHIP-avg |
WHIP average over the last 3 starts | |
| Opponent Strength | BB_Grade |
Grade of opposing team in drawing walks |
OPS_Grade |
Offensive power of opposing team (On-base + Slugging) | |
K_Grade |
How likely the opposing team is to strike out | |
| Umpire Factors | Umpire, K Boost, BB Boost, R Boost |
Influence of home plate umpire on strikeouts, walks, and runs |
| Stadium Conditions | Stadium |
Ballpark name to apply park factor influence |
Stadium Ratings (internal) |
Pitcher-friendly or hitter-friendly dimensions | |
| Weather Impact | Wind, Strikeouts (Wind) etc. |
Wind direction/speed effect on pitcher props |
Earned Runs (Wind) |
Wind impact on runs scored | |
Strikeouts (Stadium) |
How the stadium historically impacts K’s | |
Walks Allowed (Stadium) |
How the stadium affects walks | |
| Game Context | Home Team, Away Team |
Used for merging umpire/weather/stadium context |
| Name Matching | Normalized name mapping | Ensures consistent merging across multiple data sources |
Umpire Boost Metrics We Use:
We analyze and assign boost values in three areas:
| Factor | What It Measures | Impact on Prediction |
|---|---|---|
| K Boost | How much the umpire increases or decreases strikeouts | Higher = more favorable for pitchers |
| BB Boost | How much the umpire inflates or suppresses walks | Lower = better for pitcher control |
| R Boost | How many runs are typically scored under this umpire | Lower = better for Under total predictions |
✅ Example:
| Umpire | K Boost | BB Boost | R Boost | Pitcher-Friendly? |
|---|---|---|---|---|
| Joe West | 1.12x | 0.91x | 0.94x | ✅ Yes |
| Angel Hernandez | 0.97x | 1.13x | 1.15x | ❌ No |
How Boosts Work in Our Sheets:
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Values like 0.88x or 1.15x represent multipliers on average league outcomes.
-
We translate these into scores from +2.5 to -2.5:
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For K Boost: Higher = positive boost
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For BB and R Boost: Lower = positive boost (reverse scale)
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Perfect for beginners and seasoned bettors alike, our MLB computer picks simplify the betting process and increase your chances of turning predictions into profits. Bet smarter, win bigger with Xaslarbet!
️ Wind Factors by Stadium – Xaslarbet MLB AI Sheets
Wind doesn’t affect all MLB stadiums the same way. Some parks are open-air and wind-sensitive, while others are partially enclosed or domed, reducing wind impact.
We calculate wind-based prop impact in these key areas:
| Wind Factor Column | Meaning |
|---|---|
Strikeouts (Wind) |
How wind affects strikeout rates in that stadium |
Walks Allowed (Wind) |
How wind influences pitcher control and walk frequency |
Earned Runs (Wind) |
Wind impact on offensive output (HRs, extra-base hits, etc.) |
Outs Recorded (Wind) |
General influence on innings pitched or outs for starting pitchers |
️ Wind Impact Logic Per Stadium
Here’s how we apply the wind logic in your model:
| Stadium Type | Wind Sensitivity | Common Effect Examples |
|---|---|---|
| Open-air parks (Wrigley, Kauffman, Oracle) | High | Wind out = More HRs/Runs, Wind in = Boost to Pitchers |
| Partially enclosed (Yankee, Citi Field) | Moderate | Wind direction still matters, but dampened effect |
| Domed/retractable roofs (Tropicana, Rogers Centre) | Low | Minimal wind effect (usually marked as “Neutral”) |
