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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1251 | MLB | Troy Johnston 10 games | COL vs CIN@COL | TB | 1.5 | +150 | 0.4 | -1.1 | 1/5 | +0.4 | 29 | F | 1.0 | LOSS | WIN | |
| 1252 | MLB | Tyler Stephenson 10 games | CIN vs CIN@COL | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 2.0 | WIN | LOSS | |
| 1253 | MLB | Tyler Stephenson 10 games | CIN vs CIN@COL | R | 0.5 | +105 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 2.0 | WIN | LOSS | |
| 1254 | MLB | Tyler Stephenson 10 games | CIN vs CIN@COL | RBI | 0.5 | +156 | 0 | -0.5 | 0/5 | +0 | 29 | F | 3.0 | WIN | LOSS | |
| 1255 | MLB | Tyler Stephenson 10 games | CIN vs CIN@COL | TB | 1.5 | +105 | 1 | -0.5 | 1/5 | -0.6 | 29 | F | 10.0 | WIN | LOSS | |
| 1256 | MLB | Vaughn Grissom 10 games | LAA vs DET@LAA | RBI | 0.5 | +272 | 0.4 | -0.1 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1257 | MLB | Victor Robles 10 games | SEA vs SFG@SEA | R | 0.5 | +165 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1258 | MLB | Vinnie Pasquantino 10 games | KC vs SDP@KCR | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1259 | MLB | Vinnie Pasquantino 10 games | KC vs SDP@KCR | TB | 1.5 | +120 | 0.8 | -0.7 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1260 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs CHW@TOR | RBI | 1.5 | +600 | 0.8 | -0.7 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1261 | MLB | William Contreras 10 games | MIL vs MIA@MIL | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1262 | MLB | William Contreras 10 games | MIL vs MIA@MIL | R | 0.5 | +120 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1263 | MLB | William Contreras 10 games | MIL vs MIA@MIL | TB | 1.5 | +140 | 0.4 | -1.1 | 1/5 | +0.1 | 29 | F | 4.0 | WIN | LOSS | |
| 1264 | MLB | Xavier Edwards 10 games | MIA vs MIA@MIL | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1265 | MLB | Xavier Edwards 10 games | MIA vs MIA@MIL | R | 0.5 | +150 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1266 | MLB | Yainer Diaz 10 games | HOU vs BAL@HOU | RBI | 0.5 | +212 | 0.4 | -0.1 | 1/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 1267 | MLB | Yandy Diaz 10 games | TB vs TBR@BOS | H | 1.5 | +170 | 0.8 | -0.7 | 0/5 | -0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 1268 | MLB | Yandy Diaz 10 games | TB vs TBR@BOS | RBI | 0.5 | +207 | 0.4 | -0.1 | 1/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 1269 | MLB | Zach McKinstry 10 games | DET vs DET@LAA | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1270 | MLB | Zach Neto 10 games | LAA vs DET@LAA | HR | 0.5 | +350 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1271 | MLB | Zach Neto 10 games | LAA vs DET@LAA | RBI | 0.5 | +205 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1272 | MLB | Adley Rutschman 10 games | BAL vs BAL@HOU | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.5 | 28 | F | — | PENDING | PENDING | |
| 1273 | MLB | Cedric Mullins 10 games | TB vs TBR@BOS | H | 0.5 | -164 | 0.4 | -0.1 | 2/5 | +0 | 28 | F | 0.0 | LOSS | WIN | |
| 1274 | MLB | Dominic Smith 10 games | ATL vs TEX@ATL | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 0.0 | LOSS | WIN | |
| 1275 | MLB | Ezequiel Tovar 10 games | COL vs CIN@COL | H | 0.5 | -164 | 0.4 | -0.1 | 2/5 | +0 | 28 | F | — | PENDING | PENDING | |
| 1276 | MLB | Jake Burger 10 games | TEX vs TEX@ATL | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 2.0 | WIN | LOSS | |
| 1277 | MLB | Jorge Polanco 6 games | NYM vs NYM@PHI | H | 0.5 | -177 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | — | PENDING | PENDING | |
| 1278 | MLB | Josh Lowe 10 games | LAA vs DET@LAA | H | 0.5 | -173 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 0.0 | LOSS | WIN | |
| 1279 | MLB | Juan Soto 10 games | NYM vs NYM@PHI | H | 0.5 | -222 | 0.4 | -0.1 | 2/5 | +0.1 | 28 | F | 2.0 | WIN | LOSS | |
| 1280 | MLB | Mike Trout 10 games | LAA vs DET@LAA | R | 0.5 | -105 | 0.2 | -0.3 | 1/5 | -0.7 | 28 | F | 0.0 | LOSS | WIN | |
| 1281 | MLB | Riley Greene 10 games | DET vs DET@LAA | H | 0.5 | -250 | 0.4 | -0.1 | 2/5 | -0.5 | 28 | F | 1.0 | WIN | LOSS | |
| 1282 | MLB | Zach McKinstry 10 games | DET vs DET@LAA | H | 0.5 | -175 | 0.4 | -0.1 | 2/5 | +0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 1283 | MLB | Carter Jensen 10 games | KC vs SDP@KCR | R | 0.5 | -130 | 0.4 | -0.1 | 1/5 | +0.5 | 27 | F | 0.0 | LOSS | WIN | |
| 1284 | MLB | Jacob Lopez 4 games | ATH vs WSN@Athlet | K | 3.5 | -134 | 2.8 | -0.8 | 1/4 | -0.1 | 27 | F | 6.0 | WIN | LOSS | |
| 1285 | MLB | Jase Bowen 10 games | SD vs SDP@KCR | H | 0.5 | -130 | 0.2 | -0.3 | 1/5 | +0.1 | 27 | F | 2.0 | WIN | LOSS | |
| 1286 | MLB | Kevin McGonigle 10 games | DET vs DET@LAA | R | 0.5 | -125 | 0.4 | -0.1 | 1/5 | +0.1 | 27 | F | 1.0 | WIN | LOSS | |
| 1287 | MLB | Logan O'Hoppe 10 games | LAA vs DET@LAA | H | 0.5 | -135 | 0.4 | -0.1 | 1/5 | +0.2 | 27 | F | — | PENDING | PENDING | |
| 1288 | MLB | Mitch Garver 10 games | SEA vs SFG@SEA | H | 0.5 | -132 | 0.2 | -0.3 | 1/5 | -0.4 | 27 | F | 1.0 | WIN | LOSS | |
| 1289 | MLB | Taylor Walls 10 games | TB vs TBR@BOS | H | 0.5 | -135 | 0.2 | -0.3 | 1/5 | -0.1 | 27 | F | 1.0 | WIN | LOSS | |
| 1290 | MLB | Tristan Peters 10 games | CWS vs CHW@TOR | H | 0.5 | -140 | 0.4 | -0.1 | 2/5 | -0.6 | 27 | F | 0.0 | LOSS | WIN | |
| 1291 | MLB | Alan Roden 7 games | MIN vs MIN@CHC | TB | 1.5 | +225 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1292 | MLB | Alejandro Kirk 10 games | TOR vs CHW@TOR | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1293 | MLB | Austin Martin 10 games | MIN vs MIN@CHC | TB | 1.5 | +170 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1294 | MLB | Bobby Witt Jr. 10 games | KC vs SDP@KCR | H | 1.5 | +145 | 0.4 | -1.1 | 1/5 | -0.8 | 26 | F | — | PENDING | PENDING | |
| 1295 | MLB | Brandon Marsh 10 games | PHI vs NYM@PHI | TB | 1.5 | +150 | 0 | -1.5 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1296 | MLB | Carson Benge 10 games | NYM vs NYM@PHI | R | 0.5 | +130 | 0 | -0.5 | 0/5 | -0.7 | 26 | F | 0.0 | LOSS | WIN | |
| 1297 | MLB | Christian Walker 10 games | HOU vs BAL@HOU | TB | 1.5 | +145 | 0.4 | -1.1 | 1/5 | -1.3 | 26 | F | — | PENDING | PENDING | |
| 1298 | MLB | Colton Cowser 10 games | BAL vs BAL@HOU | TB | 1.5 | +230 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1299 | MLB | Connor Wong 10 games | BOS vs TBR@BOS | TB | 1.5 | +200 | 0.6 | -0.9 | 0/5 | -1 | 26 | F | 0.0 | LOSS | WIN | |
| 1300 | MLB | Dalton Rushing 10 games | LAD vs LAD@NYY | H | 0.5 | +100 | 0 | -0.5 | 0/5 | -0.8 | 26 | F | 0.0 | LOSS | WIN |
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.