A Statcast-powered probability platform built by Wall Street probability professionals, software engineers, and serious baseball people - covering every prop market, every game market, every pitch, and every at-bat, all season long.
We spent years looking for a tool this thorough and this honest. It didn’t exist. So we built it. The methodology is proprietary. The results speak for themselves.
Diamond Shark was built by a team of Wall Street quantitative finance professionals, software engineers, and lifelong baseball fans who were frustrated by the same problem: there was no analytics platform that combined real professional-grade methodology with honest, verifiable outputs.
The methodology is proprietary and we intend to keep it that way. What we’ll tell you is that every member of this team uses Diamond Shark with their own money on the line. We built it to the standard of people who can’t afford to get it wrong.
There is a meaningful difference between a tool built by people who understand baseball statistics, market structure, and quantitative forecasting - and everything else that currently exists at the consumer level.
The engine applies 92 distinct factors to every play it evaluates. Each one adjusts the final probability to account for a specific real-world condition that affects how baseball games actually unfold. Every factor is bounded, tested, and backed by statistical evidence that it improves accuracy. The conditions they address are proprietary - that is the competitive advantage. What you see is what they produce.
Not display statistics. Every one of the 34+ advanced metrics the engine ingests is an active input that moves the probability output in a specific, tested direction. The same granular ball-tracking data MLB front offices use to make roster and pitching decisions - all feeding the model. The specific list of what we use is ours.
If the models don’t support a meaningful gap versus market pricing, nothing surfaces. No daily quota. No padding. The discipline to stay quiet on low-signal days is built into the engine by design - and it’s what separates a real probability model from a picks service.
The specific inputs to our model are proprietary. What we can explain is what the 92 multipliers and 34+ metrics accomplish - because understanding what the engine does doesn’t require knowing what it uses.
Raw statistical models fail at baseball because the same numbers mean different things in different contexts. A pitcher’s strikeout rate performs differently depending on conditions the raw numbers don’t capture. A batter’s hit rate shifts based on factors that never appear in a box score. The 92 multipliers exist precisely to account for all of that. The 34+ metrics give the simulation the complete picture of what is actually happening with a player and a game today.
The adaptive learning system inside Diamond Shark is built on the same class of quantitative methodology that top hedge funds and institutional quantitative analysts use to model complex probabilistic systems in financial markets. Firms at this level don’t build static models - they build systems that continuously evaluate and correct their own accuracy against real-world outcomes.
The specific implementation is ours and proprietary. The principle is the same: a model that doesn’t measure and correct its own prediction accuracy isn’t a model - it’s a static formula dressed up as intelligence. Every game result feeds back into the system. The engine running today has been calibrated against thousands of resolved predictions and is measurably more accurate than the version from 30 days ago.
The same pipeline runs across the full slate before you open the app - so the analysis is ready when you need it.
34+ advanced metrics pulled per player. Ball-tracking data, pitch-level data, park context, umpire history, injury state, lineup and bullpen information. Dozens of real-world inputs assembled for every player and game on the slate. The specific list is proprietary.
A proprietary simulation engine runs thousands of scenarios per player-market combination, producing a full probability distribution over all possible outcomes. That distribution is compared directly against market-implied probability from current odds.
The simulation output passes through 92 independent probability factors - each accounting for a real-world condition the raw numbers don’t capture on their own. The final probability has been shaped by all 92. The conditions they address are proprietary. The math that produces them is sound.
The engine runs the full probability analysis across every major MLB market simultaneously - props, game markets, live plays, and parlays. The full picture in one place.
Full K probability analysis for every probable starter. Dedicated K Grid surface with every alt line evaluated - assess any line the market offers against what our model says.
Hit probability adjusted for today’s specific pitching matchup, park, conditions, and lineup slot. Updated as lineups confirm.
Power-weighted distribution accounting for all outcomes from singles through home runs in today’s specific park and matchup context.
Moonshot Money - dedicated HR composite model scoring every eligible batter 0–99 based on multiple independent power and matchup signals.
Lineup-context production probability accounting for who’s hitting around a player and how the game script is projected to develop.
Outs, hits allowed, and walks - driven by command profile, opposing lineup, manager tendencies, and bullpen availability.
Speed-based opportunity model accounting for situational game-script and defensive context, not just season stolen base rate.
Multi-stat combo markets evaluated with joint probability modeling that accounts for correlation between outcomes.
The full probability distribution means any posted alt line can be assessed - not just the standard over/under.
Win probability from simulated run distributions for both teams, blending starter quality, bullpen depth, and full environmental context.
Spread modeling from the same run distributions as the moneyline - showing exactly where value sits on the spread vs. the money line.
Combined run projections for both teams - a full distribution over total run outcomes, not a single point estimate.
Per-team run projections that break the game total into its two halves - showing which side of the game the model thinks is mispriced.
First-inning scoring probability surfaced when the model meaningfully disagrees with what the market is implying about whether a run scores.
As games develop, the model re-evaluates adjusted live lines. New probability gaps surface in real time as in-game developments create them.
Once a game starts, the app becomes a live analytics dashboard updating every 5 seconds. Real-time baseball data that used to require a broadcast booth - in your pocket.
Every pitch plotted in real time by location, type, velocity, and result. Watch a pitcher’s approach evolve across an at-bat as it happens.
Baserunners, outs, count, and inning in real time. Full inning play-by-play scrollable without leaving the screen.
Complete pitch log with type, velocity, and result for every at-bat in the game. Exit velocity on batted balls. Scroll back through the entire game at any time.
When in-game developments create a meaningful gap between the live line and the model’s updated probability, a live play surfaces with full context about what changed.
There is a lot of noise in baseball analytics. We built Diamond Shark because we were tired of it too.
Every analysis is the output of a real statistical model. The number you see is the result of thousands of simulated scenarios refined by 92 tested factors - compared against market-implied probability. You can see the gap. You can look up the current odds and verify the market side yourself.
Most services attach a percentage to their picks with no real model behind it. The number makes the recommendation look scientific. If a service can’t explain what produced their probability estimate, there is no estimate - there’s just a number they chose to put there.
The full performance history is inside the app - every analysis, every market, every result since launch. Slow stretches included. Nothing filtered. The data is there if you want to audit the model.
If a service can’t show you an unedited performance history across every pick they’ve ever published, they have something to hide. Selectively surfacing winning stretches while quietly burying bad ones is standard practice in this industry. We built Diamond Shark to be the exception.
We use AI as a verification layer - catching errors and flagging inconsistencies. We do not use AI to generate probabilities. Go ahead: ask two different AI tools for the probability on a 5-player home run parlay. You’ll get two completely different answers, and the implied odds on both will be wrong. That is a language model generating numbers that sound plausible. It is not a probability model.
AI can process statistics and write convincing analysis. It cannot simultaneously account for the full set of real-world conditions that affect a baseball probability at the precision required to produce a meaningful estimate. The 92 multipliers in our engine exist because baseball outcomes require a real model - not a chatbot generating numbers that feel right.
One probability engine. Eight surfaces. Every analytical angle on every game.
Every market analysis for today’s full slate, ranked by how much the model disagrees with market pricing. See the model probability, market-implied probability, and the gap - for every play, every day.
ALL 16+ MARKETSReal-time dashboard updating every 5 seconds. K-zone pitch visualization, live base state, and pitch-by-pitch feed for every game on the full slate, all season.
5-SECOND REFRESHDaily home run analysis using a composite model scoring every eligible batter 0–99 based on multiple independent power and matchup signals. The most thorough HR analysis available at the consumer level.
DAILY HR ANALYSISMulti-leg parlay analysis that accounts for correlation between legs from the same game - not multiplied independent probabilities. Built on the same engine as every surface. Shows you combined probability before you decide.
SMART PARLAYSDeep pitcher vs. batter breakdowns for every game. Contact quality, power profile, historical head-to-head, park and environmental context. The same depth of analysis MLB scouts use to build game plans.
PITCHER vs. BATTERStrikeout probability at every alt line for every probable starter. Compare any line the market offers. The model’s full K distribution - not just the standard line.
FULL ALT LADDERThe model’s complete output history - every analysis, every market, every result. Win rate, net performance, and how outputs hold up against closing market prices. Unfiltered, public, inside the app.
FULL HISTORYLog your plays and track your own performance. Auto-graded when results post. Your wins, losses, net units, and how picks compare to closing prices - organized and stored for you.
AUTO-GRADEDThe team that built Diamond Shark uses Diamond Shark. Every design decision in the engine, every market we cover, every output - built to the standard of people who stake real money against the model. When it’s wrong, it costs us too.
We keep the methodology proprietary because we built something genuinely valuable. What we will never hide is the performance record - because the only way to earn trust with a probability model is to show the full history, unedited, and let the data speak.
We keep the 92 multipliers and 34+ metrics private. We make every output completely transparent. You see the model probability, the market probability, and the exact gap. The advantage is in the engine. The honesty is in what comes out.
The full scorecard shows every output since launch with no time filter. Cold weeks are in there. That’s the only honest way to maintain a track record.
The model surfaces analysis when the math supports it. On a low-signal day you might see 8 plays. On a high-signal day you might see 40. No daily minimum - because filling a quota when the math doesn’t support it destroys long-run calibration.
The methodology inside Diamond Shark belongs to the same class as quantitative systems used by institutional forecasters and professional sports analysts. Available on your phone for less than $25 a month.
No feature tiers. No locked markets. One subscription gives you everything - every analysis, every live game, every tool - for every game of the MLB season.
iOS & Android. Subscription managed through App Store or Google Play.
For informational and entertainment purposes only.
Diamond Shark Baseball is an MLB statistics and probability analysis platform. It uses Statcast data, real-time market pricing, and proprietary quantitative modeling to produce probability estimates across player and game markets. It is not a sportsbook and does not facilitate wagering of any kind. All content is for informational and entertainment purposes only.
Nothing on this platform constitutes financial advice or a recommendation to place any wager. Sports betting involves real financial risk. If gambling is affecting you or someone you know, help is available 24/7: 1-800-GAMBLER (1-800-426-2537).