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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1101 | MLB | Kevin McGonigle 10 games | DET vs DET@CHC | RBI | 0.5 | +221 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1102 | MLB | Kody Clemens 10 games | MIN vs MIN@CLE | HR | 0.5 | +450 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1103 | MLB | Kody Clemens 10 games | MIN vs MIN@CLE | R | 0.5 | +130 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1104 | MLB | Kody Clemens 10 games | MIN vs MIN@CLE | RBI | 0.5 | +184 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1105 | MLB | Kyle Karros 10 games | COL vs WSN@COL | RBI | 0.5 | +192 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1106 | MLB | Kyle Manzardo 10 games | CLE vs MIN@CLE | RBI | 0.5 | +175 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 1107 | MLB | Kyle Manzardo 10 games | CLE vs MIN@CLE | TB | 1.5 | +155 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 7.0 | WIN | LOSS | |
| 1108 | MLB | Kyle Schwarber 10 games | PHI vs LAD@PHI | HR | 0.5 | +210 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1109 | MLB | Kyle Schwarber 10 games | PHI vs LAD@PHI | RBI | 0.5 | +137 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1110 | MLB | Kyle Stowers 10 games | MIA vs MIA@HOU | RBI | 0.5 | +180 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1111 | MLB | Kyle Stowers 10 games | MIA vs MIA@HOU | TB | 1.5 | +125 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1112 | MLB | Lane Thomas 10 games | KC vs SFG@KCR | R | 1.5 | +800 | 0.6 | -0.9 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1113 | MLB | Lane Thomas 10 games | KC vs SFG@KCR | RBI | 1.5 | +600 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 2.0 | WIN | LOSS | |
| 1114 | MLB | Lawrence Butler 10 games | ATH vs Athletics@ | H | 1.5 | +300 | 0.8 | -0.7 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 1115 | MLB | Lawrence Butler 10 games | ATH vs Athletics@ | RBI | 0.5 | +205 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 1116 | MLB | Leody Taveras 10 games | BAL vs BAL@BOS | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1117 | MLB | Leody Taveras 10 games | BAL vs BAL@BOS | R | 1.5 | +1300 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1118 | MLB | Liam Hicks 10 games | MIA vs MIA@HOU | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1119 | MLB | Liam Hicks 10 games | MIA vs MIA@HOU | RBI | 0.5 | +265 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1120 | MLB | Liam Hicks 10 games | MIA vs MIA@HOU | TB | 1.5 | +150 | 1.4 | -0.1 | 1/5 | +0.5 | 32 | F | 1.0 | LOSS | WIN | |
| 1121 | MLB | Lucas Spence 5 games | HOU vs MIA@HOU | RBI | 0.5 | +296 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1122 | MLB | Luis Arraez 10 games | SF vs SFG@KCR | RBI | 0.5 | +200 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 1123 | MLB | Luis Campusano 10 games | SD vs SDP@ATL | R | 0.5 | +165 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1124 | MLB | Luis Campusano 10 games | SD vs SDP@ATL | RBI | 0.5 | +220 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1125 | MLB | Luis Rengifo 10 games | SD vs SDP@ATL | RBI | 0.5 | +227 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 1126 | MLB | Luke Raley 10 games | SEA vs CIN@SEA | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1127 | MLB | Luke Raley 10 games | SEA vs CIN@SEA | RBI | 0.5 | +203 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 1128 | MLB | Marcus Semien 10 games | NYM vs NYM@MIL | R | 0.5 | +220 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 1129 | MLB | Masataka Yoshida 10 games | BOS vs BAL@BOS | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1130 | MLB | Masataka Yoshida 10 games | BOS vs BAL@BOS | RBI | 1.5 | +500 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 1131 | MLB | Masyn Winn 10 games | STL vs STL@LAA | RBI | 1.5 | +700 | 0.8 | -0.7 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1132 | MLB | Matt Olson 10 games | ATL vs SDP@ATL | HR | 0.5 | +325 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1133 | MLB | Matt Olson 10 games | ATL vs SDP@ATL | RBI | 0.5 | +150 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 1134 | MLB | Michael Massey 10 games | KC vs SFG@KCR | H | 1.5 | +300 | 1.2 | -0.3 | 1/5 | -0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 1135 | MLB | Michael Massey 10 games | KC vs SFG@KCR | RBI | 0.5 | +199 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1136 | MLB | Mickey Moniak 10 games | COL vs WSN@COL | HR | 0.5 | +350 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1137 | MLB | Miguel Vargas 10 games | CWS vs CHW@TEX | RBI | 0.5 | +155 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1138 | MLB | Mike Yastrzemski 10 games | ATL vs SDP@ATL | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1139 | MLB | Mookie Betts 10 games | LAD vs LAD@PHI | HR | 0.5 | +525 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 1140 | MLB | Nathan Lukes 10 games | TOR vs TBR@TOR | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1141 | MLB | Nathan Lukes 10 games | TOR vs TBR@TOR | R | 0.5 | +135 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 1142 | MLB | Nathan Lukes 10 games | TOR vs TBR@TOR | RBI | 0.5 | +261 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1143 | MLB | Nick Loftin 10 games | KC vs SFG@KCR | R | 0.5 | +165 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 1144 | MLB | Nicky Lopez 10 games | TEX vs CHW@TEX | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1145 | MLB | Noelvi Marte 10 games | CIN vs CIN@SEA | R | 0.5 | +190 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 1146 | MLB | Noelvi Marte 10 games | CIN vs CIN@SEA | TB | 1.5 | +195 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 1147 | MLB | Nolan Arenado 10 games | AZ vs Athletics@ | H | 1.5 | +280 | 1 | -0.5 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 1148 | MLB | Nolan Arenado 10 games | AZ vs Athletics@ | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 1149 | MLB | Nolan Arenado 10 games | AZ vs Athletics@ | R | 0.5 | +135 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 3.0 | WIN | LOSS | |
| 1150 | MLB | Nolan Schanuel 10 games | LAA vs STL@LAA | R | 0.5 | +130 | 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.