Welcome TO
THE SWEAT LOCKER
Pipeline Driven Sports Analytics App. Every Result Logged. Every Miss Explained. More Data, Less Sweat
Who We Are at The Sweat Locker
Our Story
Most sports bettors are running five tabs before a game. One app for injury news. Another for line movement. A third for advanced stats that dumps raw numbers with zero context. A fourth for someone else's picks with no explanation behind them.
A veteran saw that gap and built something different.
The Sweat Locker is a single platform that pulls pitcher contact profiles, defensive ratings, park factors, first-inning splits, NBA net efficiency, UFC fight history, bullpen workload, market line movement — runs it through a real analytics pipeline — and surfaces it in plain language before every game. Jerry, our resident analyst, reads from the pipeline and tells you what actually moves the needle. No noise. No tab-switching. No blind picks from a stranger.
And every pick is logged. Every miss is explained. When a play type isn't hitting — like our OVER-lean signal that went 0-10 in April — we pull it. When a tier overcorrects, we tell you. The track record is open. The misses are loud. That's the point.
One app. Every signal. You decide.
Pipeline refreshes twice daily — at 8am and 2pm ET — so lineups, lines, and umpires lock in before you bet.
The Best Moments from The Sweat Locker Sports
Propietary pipeline and key features
THE MODEL
Most sports analytics apps run your question through an AI and call it a model. We built an actual pipeline.
Every day before games tip off, our system pulls real data across the sports we cover — MLB pitcher Statcast metrics, NBA net efficiency and pace, UFC fighter striking and grappling profiles, plus park factors, weather, umpire tendencies, line movement, injury news, and bullpen workload. It runs through our pipeline, writes to a live database, and feeds every score, badge, and play call you see in the app.
Then we grade it. Every pick is logged with the model output that produced it. Every cohort is audited daily — if a tier stops hitting, we see it within days, not months. Jerry doesn't guess. He reads the model. And the model gets a report card every morning.
THE PIPELINE
⚾ MLB — Live - The deepest baseball coverage in any consumer app. Every game processes:
- xERA & first-inning splits — not just season ERA. How does this pitcher perform in the first inning specifically, against this lineup's handedness profile?
- Platoon advantage — batter handedness vs pitcher handedness, weighted by lineup position
- NRFI Model — proprietary first-inning scoring model with PRIME / STRONG / LEAN conviction tiers, audited daily
- Pitcher contact profile — BAA, xBA, hard-hit % allowed for batter prop analysis
- Bullpen quality — ERA differential as a late-game signal
- Park factors, weather, umpire tendencies — every environmental variable that moves lines
- Spread projection — our own run-differential model vs the posted line
🏀 NBA — Live
- Net rating, defensive rating, eFG%, pace, OREB%, TOV%
- Recency-weighted player averages for prop analysis
- Opponent defensive adjustment for prop grading
- Playoff mode — series context, elimination urgency, home court earned
- Injury report integration
- Currently in calibration mode — leans only, no STRONG-tier picks until regular season sample matures (Nov 2026). Live audit visible in-app.
🥊 UFC — Live
- Comprehensive fighter database — strike, takedown, control, and finishing splits with full fight-by-fight history
- Proprietary 4-model XGBoost ensemble — predicts winner, method (KO/SUB/DEC), goes-distance, and round, with PRIME / STRONG / LEAN conviction tiers per fight
- Opponent matchup engine — Jerry sees both fighters, not just one
- Web search integration — cross-references analyst consensus against model output
🏀 NCAAB — Coming November 2026 - KenPom inspired efficiency model, four-factors (eFG%, TO%, OR%, FT rate), tempo, strength of schedule. All 365 D1 teams normalized through our alias table. Foundation deployed May 2026 — daily picks activate when regular season starts.
🏈 NFL — Targeting Week 1 of the 2026 Season - The biggest betting market in America. Our NFL model will process:
- EPA/play and offensive/defensive efficiency
- Target share and air yards for receiver props
- Situational edge — bye week advantage, dome-team-in-cold weather, timezone fatigue
- Red zone efficiency for TD props
- Weather model for outdoor stadiums
- The same conviction-based system that powers MLB
Hit rates and audit data refresh daily inside the app.
JERRY AI
Jerry — Your Pipeline Analyst
Most "AI-powered" sports apps run your question through a chatbot and call it a model. Jerry doesn't search the internet and guess — he reads xERA gaps, defensive ratings, platoon advantages, NBA net-rating differentials, fighter striking profiles, and conviction flags directly from our pipeline, then explains what it means in plain language.
Tight reads. No filler. No tab-switching.
Four tools live in the Jerry tab:
🧠 Prop Jerry — Top 15 prop edges from our pipeline daily, served fresh every afternoon once lineups confirm. Conviction-tiered (PRIME / STRONG / LEAN) with labeled signals — ump tendency, recency split, contact profile, opposing bullpen workload — so you see why the edge exists, not just that one does. Currently MLB pipeline-driven; NBA and NHL surface market-side edges with model overlay.
🎲 Daily Degen — A 3-5 leg parlay built each day from the slate's highest-conviction signals. Generated once on the 2pm ET pipeline run — same pick for every user. No personalization, no upsell. Either the slate had it or it didn't.
🐕 Dawg of the Day — One underdog moneyline per slate where our pipeline sharply disagrees with the market. Triggered only when the spread-delta gap clears our threshold — most days there isn't one, and we don't force it.
📋 Record — Verified performance, model-by-model. NRFI lean-tier hit rates, Prop Jerry results, Play of the Day record, Dawg of the Day record. Auto-resolved via MLB Stats API and BDL box scores. Misses logged. Cohorts audited daily.
Jerry is powered by Anthropic's Claude AI model. Prompts are not stored or used for training. Full disclosure in our Privacy Policy.
SWEAT SCORE & THE SWEAT CARD
Every game gets a Sweat Score from 0 to 100. Scores at 68 or above are Prime Sweats — plays where multiple independent signals stack in the same direction.
The score isn't vibes. It's a weighted blend of five signal buckets: model mismatch, situational edge, line trajectory, sharp signal, and market efficiency. The weights shift by sport based on how much we actually trust our pipeline there:
Sport: What dominates the score: MLB: Model 45% / Situational 25% / Line 12% / Sharp 10% / Market 8% — deepest pipeline, model leads. NBA: Model 40% / Situational 25% / Line 15% / Market 10% / Sharp 10% — strong model, calibration mode. NCAAB: Model 35% / Situational 25% / Line 15% / Sharp 15% / Market 10% — KenPom-inspired (live Nov 2026) UFC Sharp 30% / Market 20% / Model 20% / Line 15% / Situational 15% — sharp money moves first in MMA. NHL: Market 25% / Line 25% / Sharp 25% / Model 15% / Situational 10% — no proprietary model yet. NFL: Sharp 25% / Line 25% / Market 20% / Situational 15% / Model 15% — pipeline launches Week 1 2026
The score is compressed, not inflated. Most apps tune their headline number up so it feels like every game is a Lock. We do the opposite — our normalization curve maps a raw 75 down to a displayed 68, so the Prime Sweat threshold genuinely means rare and stacked. Fewer Prime Sweats. Higher hit rate when they fire.
Sweat Card
Once the 2pm ET pipeline run locks in confirmed lineups, umpire assignments, weather, and final lines, the Sweat Card generates — a single daily summary card that surfaces the day's Play of the Day, Dawg of the Day, Daily Degen tier, and the live audit hit rates behind each tier. One card. The whole slate at a glance. Refreshes nightly.
THE RECORD
We track everything publicly because we believe in the model.
Every pick is logged with the model output that produced it. Every cohort is audited daily across rolling 7-day, 30-day, and season-to-date windows. When a tier stops hitting, we don't quietly bury it — we downgrade or pull it. We pulled our OVER-lean badge in April after it went 0-10. We downgraded our NBA Net Rating STRONG-tier to LEAN in May after it audited at 36% on 11 games. The misses are loud on purpose.
What's tracked, all visible inside the Jerry tab → Record:
⚾ NRFI Model — split by conviction tier. 🟢 PRIME (90-94 score) and 🔵 Mild Lean (70-79). Hit rates updated after every game resolves.
🐕 Dawg of the Day — every underdog ML the model fired, with rolling W-L and pending count.
🧠 Pipeline Props — conviction-tiered (PRIME / STRONG / LEAN) results broken down by tier and by prop type (Ks, Hits, NRFI legs). The post-pivot system.
🔒 Play of the Day — last 14 days visible in-app, full game tile + result.
📊 Live tier calibration — rolling hit-rate audit per cohort, refreshed daily on the 8am and 2pm ET pipeline runs.Auto-resolved via MLB Stats API and BDL box scores. No manual scorekeeping. No retroactive grading.
Past performance does not guarantee future results. This is analytics, not a guarantee.
Three structural moves:
- Open with proof, not promise — the OVER-lean and NBA downgrade specifics give the "we audit" claim teeth. Anyone can say "we track everything." Few can name what they pulled and when.
- Replace "A grades" with conviction-tiered Pipeline Props — closes the third occurrence of legacy phrasing on the site
- Add Dawg + Live tier calibration to the tracked list — both are new, both are visible in-app, both deserve credit
- "No manual scorekeeping. No retroactive grading." — short defensive line. The skeptic's first instinct is "they probably edit losses." Heads it off.
WHY THIS WORKS
The edge in sports betting isn't picking winners. It's finding spots where the market has mispriced something the model sees clearly.
A pitcher with a 5.2 xERA and a 5.8 ERA bullpen behind him facing a wRC+ 115 lineup — that's not a hunch. That's a pipeline flag that triggers a conviction grade before we ever check the odds. The same shape plays out in every sport we cover: net rating gaps the market hasn't fully priced in NBA. Striker-vs-grappler matchups in UFC where the line lags the model. Pace-and-defense splits in NCAAB.
Then we grade it. Every flag, every conviction tier, every miss — logged and audited daily, in plain sight. When a tier stops hitting, we pull it. When the model overcorrects, we say so.
That's the difference between The Sweat Locker and everything else.
More Data. Less Sweat.