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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1201 | MLB | Nicky Lopez 10 games | TEX vs HOU@TEX | TB | 1.5 | +250 | 0.8 | -0.7 | 1/5 | -0.5 | 29 | F | 1.0 | LOSS | WIN | |
| 1202 | MLB | Nico Hoerner 10 games | CHC vs CHC@CIN | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1203 | MLB | Nico Hoerner 10 games | CHC vs CHC@CIN | RBI | 0.5 | +213 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1204 | MLB | Noelvi Marte 10 games | CIN vs CHC@CIN | TB | 1.5 | +170 | 1.2 | -0.3 | 1/5 | -1.4 | 29 | F | 1.0 | LOSS | WIN | |
| 1205 | MLB | Nolan Schanuel 10 games | LAA vs LAA@MIN | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1206 | MLB | Otto Lopez 10 games | MIA vs CLE@MIA | H | 1.5 | +190 | 0.8 | -0.7 | 1/5 | -1.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1207 | MLB | Otto Lopez 10 games | MIA vs CLE@MIA | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1208 | MLB | Ozzie Albies 10 games | ATL vs ATL@STL | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1209 | MLB | Ozzie Albies 10 games | ATL vs ATL@STL | TB | 1.5 | +137 | 0.8 | -0.7 | 1/5 | -0.9 | 29 | F | 2.0 | WIN | LOSS | |
| 1210 | MLB | Riley Greene 10 games | DET vs PHI@DET | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1211 | MLB | Riley Greene 10 games | DET vs PHI@DET | RBI | 0.5 | +193 | 0.2 | -0.3 | 1/5 | -1.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1212 | MLB | Romy Gonzalez 10 games | BOS vs BOS@NYM | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1213 | MLB | Romy Gonzalez 10 games | BOS vs BOS@NYM | TB | 1.5 | +126 | 0.8 | -0.7 | 1/5 | -1.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1214 | MLB | Ryan Kreidler 10 games | MIN vs LAA@MIN | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1215 | MLB | Ryan Kreidler 10 games | MIN vs LAA@MIN | RBI | 0.5 | +273 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1216 | MLB | Ryan Waldschmidt 10 games | AZ vs ARI@LAD | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1217 | MLB | Ryan Waldschmidt 10 games | AZ vs ARI@LAD | RBI | 0.5 | +356 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 1218 | MLB | Salvador Perez 10 games | KC vs KCR@BAL | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1219 | MLB | Salvador Perez 10 games | KC vs KCR@BAL | TB | 1.5 | +136 | 1 | -0.5 | 1/5 | -1.4 | 29 | F | 2.0 | WIN | LOSS | |
| 1220 | MLB | Sam Antonacci 10 games | CWS vs Athletics@ | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 1221 | MLB | Sam Antonacci 10 games | CWS vs Athletics@ | TB | 1.5 | +150 | 1 | -0.5 | 1/5 | -0.8 | 29 | F | 4.0 | WIN | LOSS | |
| 1222 | MLB | Seth Lugo 10 games | KC vs KCR@BAL | K | 4.5 | -120 | 3.2 | -1.3 | 1/5 | +0.9 | 29 | F | 6.0 | WIN | LOSS | |
| 1223 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | HR | 0.5 | +300 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 1224 | MLB | Spencer Steer 10 games | CIN vs CHC@CIN | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1225 | MLB | Spencer Steer 10 games | CIN vs CHC@CIN | RBI | 0.5 | +189 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1226 | MLB | Steven Kwan 10 games | CLE vs CLE@MIA | HR | 0.5 | +1400 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1227 | MLB | Sung-Mun Song 10 games | SD vs TOR@SDP | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1228 | MLB | Taylor Walls 10 games | TB vs SEA@TBR | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1229 | MLB | TJ Friedl 10 games | CIN vs CHC@CIN | RBI | 0.5 | +300 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | — | PENDING | PENDING | |
| 1230 | MLB | TJ Rumfield 10 games | COL vs COL@SFG | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1231 | MLB | TJ Rumfield 10 games | COL vs COL@SFG | R | 0.5 | +130 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1232 | MLB | TJ Rumfield 10 games | COL vs COL@SFG | RBI | 0.5 | +204 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1233 | MLB | Tommy Edman 10 games | LAD vs ARI@LAD | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1234 | MLB | Tommy Edman 10 games | LAD vs ARI@LAD | RBI | 0.5 | +170 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 2.0 | WIN | LOSS | |
| 1235 | MLB | Travis Bazzana 10 games | CLE vs CLE@MIA | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1236 | MLB | Travis Bazzana 10 games | CLE vs CLE@MIA | R | 0.5 | +105 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 2.0 | WIN | LOSS | |
| 1237 | MLB | Trea Turner 10 games | PHI vs PHI@DET | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1238 | MLB | Trevor Larnach 10 games | MIN vs LAA@MIN | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 1239 | MLB | Trevor Larnach 10 games | MIN vs LAA@MIN | RBI | 0.5 | +229 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 2.0 | WIN | LOSS | |
| 1240 | MLB | Tristan Gray 10 games | MIN vs LAA@MIN | R | 0.5 | +175 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1241 | MLB | Troy Johnston 10 games | COL vs COL@SFG | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1242 | MLB | Tyler Stephenson 10 games | CIN vs CHC@CIN | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1243 | MLB | Tyler Stephenson 10 games | CIN vs CHC@CIN | R | 0.5 | +130 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1244 | MLB | Tyler Stephenson 10 games | CIN vs CHC@CIN | RBI | 0.5 | +202 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1245 | MLB | Victor Robles 10 games | SEA vs SEA@TBR | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1246 | MLB | Victor Robles 10 games | SEA vs SEA@TBR | R | 0.5 | +180 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1247 | MLB | Victor Robles 10 games | SEA vs SEA@TBR | RBI | 0.5 | +275 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1248 | MLB | Victor Robles 10 games | SEA vs SEA@TBR | TB | 1.5 | +210 | 0.4 | -1.1 | 1/5 | +0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1249 | MLB | Vinnie Pasquantino 10 games | KC vs KCR@BAL | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1250 | MLB | Weston Wilson 10 games | SEA vs SEA@TBR | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | 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.