Pre-game prop analysis powered by recent player performance. Every prop graded before tipoff.
| # | Sport | Player | Matchup | Stat | Line | Odds | L5 Avg | Edge | Hit | Trend | Score | Grade | Final | Over | Under | Books |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 201 | MLB | Sam Antonacci 10 games | CWS vs CHW@NYY | R | 0.5 | +180 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 202 | MLB | Sam Antonacci 10 games | CWS vs CHW@NYY | RBI | 0.5 | +261 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 203 | MLB | Spencer Jones 10 games | NYY vs CHW@NYY | R | 0.5 | +165 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 204 | MLB | Travis Bazzana 10 games | CLE vs CLE@MIL | R | 0.5 | +130 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 205 | MLB | Trevor Larnach 10 games | MIN vs MIN@TEX | H | 0.5 | -175 | 1.2 | +0.7 | 3/5 | +0.9 | 49 | F | 3.0 | WIN | LOSS | |
| 206 | MLB | William Contreras 10 games | MIL vs CLE@MIL | R | 0.5 | +125 | 0.8 | +0.3 | 3/5 | -0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 207 | MLB | Willson Contreras 10 games | BOS vs TOR@BOS | H | 1.5 | +260 | 1.8 | +0.3 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 208 | MLB | Wyatt Langford 10 games | TEX vs MIN@TEX | RBI | 0.5 | +215 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 209 | MLB | Zack Gelof 10 games | ATH vs LAA@Athlet | HR | 0.5 | +550 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 210 | MLB | Dominic Canzone 10 games | SEA vs BAL@SEA | RBI | 0.5 | +185 | 1 | +0.5 | 2/5 | +0.1 | 48 | F | 0.0 | LOSS | WIN | |
| 211 | MLB | Ivan Herrera 10 games | STL vs STL@KCR | R | 0.5 | -105 | 0.8 | +0.3 | 3/5 | -0.3 | 48 | F | 1.0 | WIN | LOSS | |
| 212 | MLB | Jake Burger 10 games | TEX vs MIN@TEX | H | 0.5 | -140 | 0.8 | +0.3 | 4/5 | -0.2 | 48 | F | 1.0 | WIN | LOSS | |
| 213 | MLB | Joc Pederson 10 games | TEX vs MIN@TEX | H | 0.5 | -149 | 1 | +0.5 | 3/5 | +0.4 | 48 | F | 0.0 | LOSS | WIN | |
| 214 | MLB | Jonah Cox 8 games | SF vs SFG@ATL | H | 0.5 | -140 | 1 | +0.5 | 3/5 | -0.1 | 48 | F | — | PENDING | PENDING | |
| 215 | MLB | Jonah Cox 8 games | SF vs SFG@ATL | TB | 1.5 | +220 | 2 | +0.5 | 2/5 | -0.2 | 48 | F | — | PENDING | PENDING | |
| 216 | MLB | Josh Smith 10 games | TEX vs MIN@TEX | H | 0.5 | -140 | 1 | +0.5 | 3/5 | +0.2 | 48 | F | 1.0 | WIN | LOSS | |
| 217 | MLB | Lawrence Butler 10 games | ATH vs LAA@Athlet | H | 0.5 | -150 | 1 | +0.5 | 3/5 | +0 | 48 | F | — | PENDING | PENDING | |
| 218 | MLB | Nick Kurtz 10 games | ATH vs LAA@Athlet | RBI | 0.5 | +140 | 1.4 | +0.9 | 2/5 | +0.3 | 48 | F | 0.0 | LOSS | WIN | |
| 219 | MLB | Royce Lewis 10 games | MIN vs MIN@TEX | TB | 1.5 | +155 | 2.6 | +1.1 | 2/5 | -1.6 | 48 | F | 0.0 | LOSS | WIN | |
| 220 | MLB | Blake Perkins 10 games | MIL vs CLE@MIL | H | 0.5 | -130 | 0.8 | +0.3 | 3/5 | +0.9 | 47 | F | 1.0 | WIN | LOSS | |
| 221 | MLB | Bryan Woo 9 games | SEA vs BAL@SEA | K | 6.5 | +104 | 6.4 | -0.1 | 3/5 | +1.1 | 47 | F | 9.0 | WIN | LOSS | |
| 222 | MLB | Casey Schmitt 10 games | SF vs SFG@ATL | H | 1.5 | +220 | 1.4 | -0.1 | 3/5 | +1 | 47 | F | — | PENDING | PENDING | |
| 223 | MLB | Jose Caballero 10 games | NYY vs CHW@NYY | RBI | 1.5 | +700 | 1.4 | -0.1 | 3/5 | +1.4 | 47 | F | 0.0 | LOSS | WIN | |
| 224 | MLB | Josh Bell 10 games | MIN vs MIN@TEX | H | 1.5 | +300 | 1.4 | -0.1 | 3/5 | +0.8 | 47 | F | 2.0 | WIN | LOSS | |
| 225 | MLB | Aaron Nola 10 games | PHI vs NYM@PHI | K | 4.5 | -215 | 5 | +0.5 | 3/5 | +0.3 | 46 | F | 6.0 | WIN | LOSS | |
| 226 | MLB | Alec Bohm 10 games | PHI vs NYM@PHI | H | 0.5 | -250 | 1 | +0.5 | 3/5 | +0.2 | 46 | F | 2.0 | WIN | LOSS | |
| 227 | MLB | Alejandro Osuna 10 games | TEX vs MIN@TEX | H | 0.5 | -115 | 0.6 | +0.1 | 3/5 | +0.1 | 46 | F | 0.0 | LOSS | WIN | |
| 228 | MLB | Austin Riley 10 games | ATL vs SFG@ATL | H | 0.5 | -160 | 1 | +0.5 | 3/5 | +0.4 | 46 | F | — | PENDING | PENDING | |
| 229 | MLB | Brandon Valenzuela 10 games | TOR vs TOR@BOS | H | 0.5 | -158 | 0.8 | +0.3 | 4/5 | +0.1 | 46 | F | 2.0 | WIN | LOSS | |
| 230 | MLB | Chase Meidroth 10 games | CWS vs CHW@NYY | H | 0.5 | -250 | 1.2 | +0.7 | 3/5 | -0.2 | 46 | F | 1.0 | WIN | LOSS | |
| 231 | MLB | Derek Hill 10 games | PHI vs NYM@PHI | H | 0.5 | -120 | 0.6 | +0.1 | 3/5 | +0.3 | 46 | F | 1.0 | WIN | LOSS | |
| 232 | MLB | Edmundo Sosa 10 games | PHI vs NYM@PHI | H | 0.5 | -163 | 1.2 | +0.7 | 3/5 | +0.2 | 46 | F | 1.0 | WIN | LOSS | |
| 233 | MLB | Gunnar Henderson 10 games | BAL vs BAL@SEA | H | 0.5 | -190 | 1.2 | +0.7 | 3/5 | +0.2 | 46 | F | 0.0 | LOSS | WIN | |
| 234 | MLB | Jasson Domínguez 10 games | NYY vs CHW@NYY | R | 0.5 | -115 | 0.6 | +0.1 | 3/5 | +0.4 | 46 | F | 0.0 | LOSS | WIN | |
| 235 | MLB | Jo Adell 10 games | LAA vs LAA@Athlet | H | 1.5 | +195 | 1.8 | +0.3 | 3/5 | -0.6 | 46 | F | 0.0 | LOSS | WIN | |
| 236 | MLB | Lane Thomas 10 games | KC vs STL@KCR | H | 0.5 | -190 | 0.8 | +0.3 | 4/5 | +0.2 | 46 | F | 2.0 | WIN | LOSS | |
| 237 | MLB | Maikel Garcia 10 games | KC vs STL@KCR | H | 0.5 | -245 | 1.2 | +0.7 | 3/5 | +0.4 | 46 | F | — | PENDING | PENDING | |
| 238 | MLB | Miguel Vargas 10 games | CWS vs CHW@NYY | H | 0.5 | -200 | 1 | +0.5 | 3/5 | -0.3 | 46 | F | 0.0 | LOSS | WIN | |
| 239 | MLB | Ozzie Albies 10 games | ATL vs SFG@ATL | H | 0.5 | -200 | 1 | +0.5 | 3/5 | -0.3 | 46 | F | — | PENDING | PENDING | |
| 240 | MLB | Shea Langeliers 10 games | ATH vs LAA@Athlet | H | 0.5 | -250 | 0.8 | +0.3 | 4/5 | -0.4 | 46 | F | 1.0 | WIN | LOSS | |
| 241 | MLB | Starling Marte 10 games | KC vs STL@KCR | H | 0.5 | -179 | 0.8 | +0.3 | 4/5 | +0.2 | 46 | F | 3.0 | WIN | LOSS | |
| 242 | MLB | Taylor Ward 10 games | BAL vs BAL@SEA | H | 0.5 | -155 | 0.8 | +0.3 | 4/5 | +0 | 46 | F | 0.0 | LOSS | WIN | |
| 243 | MLB | William Contreras 10 games | MIL vs CLE@MIL | TB | 1.5 | +137 | 1.8 | +0.3 | 3/5 | -0.9 | 46 | F | 0.0 | LOSS | WIN | |
| 244 | MLB | Yohendrick Pinango 5 games | TOR vs TOR@BOS | H | 0.5 | -190 | 1 | +0.5 | 3/5 | +0.3 | 46 | F | — | PENDING | PENDING | |
| 245 | MLB | Zach Neto 10 games | LAA vs LAA@Athlet | H | 0.5 | -250 | 1 | +0.5 | 3/5 | +0.4 | 46 | F | 0.0 | LOSS | WIN | |
| 246 | MLB | Zach Neto 10 games | LAA vs LAA@Athlet | R | 0.5 | -120 | 0.8 | +0.3 | 3/5 | +0.2 | 46 | F | 0.0 | LOSS | WIN | |
| 247 | MLB | Austin Hedges 9 games | CLE vs CLE@MIL | TB | 1.5 | +300 | 1.8 | +0.3 | 2/5 | +0.8 | 45 | F | 0.0 | LOSS | WIN | |
| 248 | MLB | Ben Rice 10 games | NYY vs CHW@NYY | RBI | 0.5 | +130 | 0.8 | +0.3 | 2/5 | +0.8 | 45 | F | 0.0 | LOSS | WIN | |
| 249 | MLB | Blake Perkins 10 games | MIL vs CLE@MIL | RBI | 0.5 | +287 | 0.8 | +0.3 | 2/5 | +0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 250 | MLB | Blaze Jordan 6 games | STL vs STL@KCR | TB | 1.5 | +140 | 2 | +0.5 | 2/5 | -1.3 | 45 | F | 3.0 | WIN | LOSS |
Every prop scored on a 0–100 scale before tipoff — built to separate high-confidence plays from coin flips.
The Prop Grader analyzes every available player prop before games begin. It pulls recent performance data — the last 5 to 10 games — and runs each prop through a multi-factor scoring model. The result is a composite score and letter grade that tells you how confident the data is behind any given prop.
Scoring Factors
Edge vs Line (up to 35 pts) — How far the player's recent average sits above or below the prop line. A large positive edge means the player has been consistently clearing this number.
Hit Rate (up to 25 pts) — Out of the last 5 games, how many times did the player actually beat this line? A 5/5 hit rate earns full marks.
Trend (up to 15 pts) — Is the player trending up or down? Compares the last 3 games against the last 10 to detect momentum shifts.
Role Stability (up to 15 pts) — For NBA, this checks minutes consistency. A starter playing 34+ minutes with low variance is more predictable than someone fluctuating between 20 and 35.
Odds Value (up to 10 pts) — Props with plus-money or short juice are more valuable than heavily juiced lines. Better odds mean better expected value.
Grade Scale
A (85–100) — Elite. Strong edge, near-perfect hit rate, positive trend, stable role. These are the highest-confidence props on the board.
B (75–84) — Strong. Most factors are favorable. Solid plays with data backing them up.
C (65–74) — Average. The numbers lean positive but there may be a weak factor pulling the score down.
D (55–64) — Below average. The edge is thin or the recent track record is inconsistent.
F (below 55) — Weak. The data doesn't support this prop. Proceed with caution or skip entirely.
Grades are computed before tipoff using data available at that time. After games complete, each prop is matched against the actual box score and marked as a win, loss, or push.