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 | Nathan Church 10 games | STL vs STL@ARI | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1202 | MLB | Nathan Church 10 games | STL vs STL@ARI | R | 0.5 | +175 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1203 | MLB | Nathan Church 10 games | STL vs STL@ARI | RBI | 0.5 | +258 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1204 | MLB | Nick Gonzales 10 games | PIT vs PIT@CLE | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1205 | MLB | Nick Loftin 10 games | KC vs SDP@KCR | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1206 | MLB | Nick Loftin 10 games | KC vs SDP@KCR | RBI | 0.5 | +212 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1207 | MLB | Nick Loftin 10 games | KC vs SDP@KCR | TB | 1.5 | +140 | 0.6 | -0.9 | 1/5 | -1.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1208 | MLB | Nicky Lopez 10 games | TEX vs TEX@ATL | HR | 0.5 | +1300 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1209 | MLB | Nico Hoerner 10 games | CHC vs MIN@CHC | HR | 0.5 | +1300 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1210 | MLB | Noelvi Marte 10 games | CIN vs CIN@COL | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1211 | MLB | Nolan Schanuel 10 games | LAA vs DET@LAA | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1212 | MLB | Nolan Schanuel 10 games | LAA vs DET@LAA | R | 0.5 | +140 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1213 | MLB | Otto Lopez 10 games | MIA vs MIA@MIL | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1214 | MLB | Otto Lopez 10 games | MIA vs MIA@MIL | R | 0.5 | +105 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | — | PENDING | PENDING | |
| 1215 | MLB | Ozzie Albies 10 games | ATL vs TEX@ATL | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1216 | MLB | Pete Crow-Armstrong 10 games | CHC vs MIN@CHC | HR | 0.5 | +375 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1217 | MLB | Petey Halpin 10 games | CLE vs PIT@CLE | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1218 | MLB | Petey Halpin 10 games | CLE vs PIT@CLE | RBI | 0.5 | +300 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1219 | MLB | Randy Arozarena 10 games | SEA vs SFG@SEA | TB | 1.5 | +135 | 1.2 | -0.3 | 1/5 | -1.1 | 29 | F | 1.0 | LOSS | WIN | |
| 1220 | MLB | Rece Hinds 1 games | MIA vs MIA@MIL | H | 0.5 | +118 | 0 | -0.5 | 0/1 | +0 | 29 | F | — | PENDING | PENDING | |
| 1221 | MLB | Rece Hinds 1 games | MIA vs MIA@MIL | HR | 0.5 | +800 | 0 | -0.5 | 0/1 | +0 | 29 | F | — | PENDING | PENDING | |
| 1222 | MLB | Rece Hinds 1 games | MIA vs MIA@MIL | RBI | 0.5 | +327 | 0 | -0.5 | 0/1 | +0 | 29 | F | — | PENDING | PENDING | |
| 1223 | MLB | Richie Palacios 10 games | TB vs TBR@BOS | H | 0.5 | -131 | 0.4 | -0.1 | 2/5 | -0.6 | 29 | F | 1.0 | WIN | LOSS | |
| 1224 | MLB | Richie Palacios 10 games | TB vs TBR@BOS | RBI | 0.5 | +282 | 0.2 | -0.3 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1225 | MLB | Riley Greene 10 games | DET vs DET@LAA | HR | 0.5 | +300 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 1226 | MLB | Riley Greene 10 games | DET vs DET@LAA | R | 0.5 | -120 | 0.2 | -0.3 | 1/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 1227 | MLB | Riley Greene 10 games | DET vs DET@LAA | TB | 1.5 | +100 | 0.6 | -0.9 | 1/5 | -0.8 | 29 | F | 4.0 | WIN | LOSS | |
| 1228 | MLB | Romy Gonzalez 10 games | BOS vs TBR@BOS | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1229 | MLB | Romy Gonzalez 10 games | BOS vs TBR@BOS | RBI | 0.5 | +201 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 1.0 | WIN | LOSS | |
| 1230 | MLB | Ryan Kreidler 10 games | MIN vs MIN@CHC | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1231 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@CLE | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1232 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@CLE | RBI | 0.5 | +211 | 0.4 | -0.1 | 1/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1233 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@CLE | TB | 1.5 | +155 | 0.8 | -0.7 | 1/5 | -1.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1234 | MLB | Ryan Waldschmidt 10 games | AZ vs STL@ARI | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1235 | MLB | Sal Stewart 10 games | CIN vs CIN@COL | HR | 0.5 | +325 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1236 | MLB | Sal Stewart 10 games | CIN vs CIN@COL | TB | 1.5 | -135 | 1 | -0.5 | 2/5 | -1.1 | 29 | F | 4.0 | WIN | LOSS | |
| 1237 | MLB | Seiya Suzuki 10 games | CHC vs MIN@CHC | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1238 | MLB | Seiya Suzuki 10 games | CHC vs MIN@CHC | RBI | 0.5 | +209 | 0.2 | -0.3 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1239 | MLB | Shea Langeliers 10 games | ATH vs WSN@Athlet | H | 1.5 | +190 | 0.8 | -0.7 | 0/5 | +0.4 | 29 | F | 2.0 | WIN | LOSS | |
| 1240 | MLB | Steven Kwan 10 games | CLE vs PIT@CLE | HR | 0.5 | +1400 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1241 | MLB | Taylor Walls 10 games | TB vs TBR@BOS | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1242 | MLB | TJ Friedl 10 games | CIN vs CIN@COL | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1243 | MLB | TJ Friedl 10 games | CIN vs CIN@COL | RBI | 0.5 | +200 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1244 | MLB | Tommy Edman 10 games | LAD vs LAD@NYY | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1245 | MLB | Tommy White 1 games | ATH vs WSN@Athlet | HR | 0.5 | +600 | 0 | -0.5 | 0/1 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1246 | MLB | Tommy White 1 games | ATH vs WSN@Athlet | R | 0.5 | +135 | 0 | -0.5 | 0/1 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1247 | MLB | Tommy White 1 games | ATH vs WSN@Athlet | RBI | 0.5 | +191 | 0 | -0.5 | 0/1 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1248 | MLB | Tristan Peters 10 games | CWS vs CHW@TOR | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1249 | MLB | Tristan Peters 10 games | CWS vs CHW@TOR | R | 0.5 | +180 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1250 | MLB | Troy Johnston 10 games | COL vs CIN@COL | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | 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.