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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1051 | MLB | Nolan Arenado 10 games | AZ vs WSN@ARI | R | 0.5 | +143 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 1052 | MLB | Nolan Arenado 10 games | AZ vs WSN@ARI | RBI | 0.5 | +172 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1053 | MLB | Nolan Gorman 10 games | STL vs CIN@STL | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1054 | MLB | Nolan Gorman 10 games | STL vs CIN@STL | R | 0.5 | +135 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1055 | MLB | Nolan Gorman 10 games | STL vs CIN@STL | RBI | 0.5 | +183 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1056 | MLB | Nolan Schanuel 10 games | LAA vs LAA@LAD | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1057 | MLB | Oneil Cruz 10 games | PIT vs PIT@ATL | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 1058 | MLB | Orlando Arcia 10 games | MIN vs KCR@MIN | H | 1.5 | +300 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1059 | MLB | Orlando Arcia 10 games | MIN vs KCR@MIN | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1060 | MLB | Orlando Arcia 10 games | MIN vs KCR@MIN | RBI | 0.5 | +220 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1061 | MLB | Otto Lopez 10 games | MIA vs TBR@MIA | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1062 | MLB | Otto Lopez 10 games | MIA vs TBR@MIA | RBI | 0.5 | +210 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 1063 | MLB | Owen Caissie 10 games | MIA vs TBR@MIA | R | 0.5 | +185 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1064 | MLB | Ozzie Albies 10 games | ATL vs PIT@ATL | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1065 | MLB | Ozzie Albies 10 games | ATL vs PIT@ATL | R | 1.5 | +800 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1066 | MLB | Patrick Bailey 10 games | CLE vs CLE@TEX | R | 0.5 | +230 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1067 | MLB | Patrick Bailey 10 games | CLE vs CLE@TEX | RBI | 0.5 | +300 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1068 | MLB | Paul Goldschmidt 10 games | NYY vs BOS@NYY | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1069 | MLB | Pavin Smith 6 games | AZ vs WSN@ARI | R | 0.5 | +150 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1070 | MLB | Pavin Smith 6 games | AZ vs WSN@ARI | RBI | 0.5 | +223 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 1071 | MLB | Rafael Devers 10 games | SF vs SFG@CHC | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1072 | MLB | Randy Arozarena 10 games | SEA vs SEA@DET | H | 1.5 | +300 | 0.8 | -0.7 | 1/5 | +0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 1073 | MLB | Randy Arozarena 10 games | SEA vs SEA@DET | RBI | 0.5 | +196 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 1074 | MLB | Richie Palacios 10 games | TB vs TBR@MIA | H | 1.5 | +300 | 0.6 | -0.9 | 1/5 | -0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 1075 | MLB | Richie Palacios 10 games | TB vs TBR@MIA | R | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1076 | MLB | Richie Palacios 10 games | TB vs TBR@MIA | RBI | 0.5 | +219 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1077 | MLB | Riley Greene 10 games | DET vs SEA@DET | RBI | 1.5 | +550 | 0.8 | -0.7 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 1078 | MLB | Royce Lewis 10 games | MIN vs KCR@MIN | R | 0.5 | +145 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1079 | MLB | Royce Lewis 10 games | MIN vs KCR@MIN | RBI | 0.5 | +180 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1080 | MLB | Ryan Kreidler 10 games | MIN vs KCR@MIN | R | 0.5 | +180 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1081 | MLB | Ryan Kreidler 10 games | MIN vs KCR@MIN | RBI | 0.5 | +244 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 1082 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@ATL | H | 1.5 | +240 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1083 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@ATL | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1084 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@ATL | RBI | 1.5 | +550 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1085 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@ATL | TB | 1.5 | +137 | 1.4 | -0.1 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1086 | MLB | Sal Frelick 10 games | MIL vs MIL@COL | R | 0.5 | -135 | 0.4 | -0.1 | 2/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1087 | MLB | Sal Frelick 10 games | MIL vs MIL@COL | TB | 1.5 | -130 | 1.2 | -0.3 | 2/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1088 | MLB | Sal Stewart 10 games | CIN vs CIN@STL | H | 1.5 | +200 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1089 | MLB | Sal Stewart 10 games | CIN vs CIN@STL | R | 0.5 | +120 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1090 | MLB | Sal Stewart 10 games | CIN vs CIN@STL | RBI | 0.5 | +155 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1091 | MLB | Salvador Perez 10 games | KC vs KCR@MIN | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 1092 | MLB | Salvador Perez 10 games | KC vs KCR@MIN | RBI | 0.5 | +127 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 1093 | MLB | Sam Antonacci 10 games | CWS vs CHW@PHI | RBI | 0.5 | +228 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 1094 | MLB | Samuel Basallo 10 games | BAL vs BAL@TOR | R | 0.5 | +165 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1095 | MLB | Samuel Basallo 10 games | BAL vs BAL@TOR | RBI | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1096 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | H | 1.5 | +200 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 1097 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | HR | 0.5 | +300 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1098 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | R | 1.5 | +450 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 1099 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | RBI | 1.5 | +380 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1100 | MLB | Shohei Ohtani 10 games | LAD vs LAA@LAD | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | +0 | 32 | 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.