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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1151 | MLB | Hunter Feduccia 10 games | TB vs TBR@MIA | H | 0.5 | -120 | 0.6 | +0.1 | 1/5 | -0.6 | 31 | F | 1.0 | WIN | LOSS | |
| 1152 | MLB | Jacob deGrom 10 games | TEX vs CLE@TEX | K | 7.5 | +230 | 6.2 | -1.3 | 2/5 | -0.8 | 31 | F | 6.0 | LOSS | WIN | |
| 1153 | MLB | Jase Bowen 3 games | SD vs NYM@SDP | H | 0.5 | -110 | 0.3 | -0.2 | 1/3 | +0 | 31 | F | 0.0 | LOSS | WIN | |
| 1154 | MLB | Joey Ortiz 10 games | MIL vs MIL@COL | R | 0.5 | -109 | 0.2 | -0.3 | 1/5 | +0.2 | 31 | F | 1.0 | WIN | LOSS | |
| 1155 | MLB | Lane Thomas 10 games | KC vs KCR@MIN | R | 0.5 | -104 | 0.2 | -0.3 | 1/5 | +0 | 31 | F | 1.0 | WIN | LOSS | |
| 1156 | MLB | Michael McGreevy 10 games | STL vs CIN@STL | K | 5.5 | +270 | 4 | -1.5 | 2/5 | -0.8 | 31 | F | 5.0 | LOSS | WIN | |
| 1157 | MLB | Michael Soroka 10 games | AZ vs WSN@ARI | K | 5.5 | +140 | 4.8 | -0.7 | 2/5 | -1.6 | 31 | F | 6.0 | WIN | LOSS | |
| 1158 | MLB | Mike Burrows 9 games | HOU vs Athletics@ | K | 5.5 | +110 | 4.2 | -1.3 | 2/5 | -1 | 31 | F | 3.0 | LOSS | WIN | |
| 1159 | MLB | Alex Call 10 games | LAD vs LAA@LAD | H | 0.5 | -140 | 0.4 | -0.1 | 2/5 | -0.3 | 30 | F | 1.0 | WIN | LOSS | |
| 1160 | MLB | Drew Romo 10 games | CWS vs CHW@PHI | H | 0.5 | -145 | 0.4 | -0.1 | 2/5 | -0.2 | 30 | F | 0.0 | LOSS | WIN | |
| 1161 | MLB | Ian Happ 10 games | CHC vs SFG@CHC | H | 0.5 | -155 | 0.8 | +0.3 | 2/5 | -0.6 | 30 | F | 1.0 | WIN | LOSS | |
| 1162 | MLB | Luke Keaschall 10 games | MIN vs KCR@MIN | H | 0.5 | -200 | 0.6 | +0.1 | 2/5 | -0.9 | 30 | F | 1.0 | WIN | LOSS | |
| 1163 | MLB | Ozzie Albies 10 games | ATL vs PIT@ATL | H | 0.5 | -190 | 0.8 | +0.3 | 2/5 | -1.1 | 30 | F | 1.0 | WIN | LOSS | |
| 1164 | MLB | Spencer Horwitz 10 games | PIT vs PIT@ATL | H | 0.5 | -220 | 0.8 | +0.3 | 2/5 | -0.7 | 30 | F | 2.0 | WIN | LOSS | |
| 1165 | MLB | Tyler Tolbert 5 games | KC vs KCR@MIN | H | 0.5 | -140 | 0.4 | -0.1 | 2/5 | -0.1 | 30 | F | 1.0 | WIN | LOSS | |
| 1166 | MLB | A.J. Ewing 10 games | NYM vs NYM@SDP | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1167 | MLB | A.J. Ewing 10 games | NYM vs NYM@SDP | RBI | 0.5 | +262 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1168 | MLB | Alex Bregman 10 games | CHC vs SFG@CHC | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1169 | MLB | Alex Bregman 10 games | CHC vs SFG@CHC | TB | 1.5 | +165 | 0.6 | -0.9 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1170 | MLB | Alex Call 10 games | LAD vs LAA@LAD | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1171 | MLB | Alex Call 10 games | LAD vs LAA@LAD | R | 0.5 | +150 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1172 | MLB | Alex Call 10 games | LAD vs LAA@LAD | RBI | 0.5 | +245 | 0.4 | -0.1 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1173 | MLB | Alex Freeland 10 games | LAD vs LAA@LAD | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1174 | MLB | Andrew Vaughn 10 games | MIL vs MIL@COL | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1175 | MLB | Anthony Volpe 10 games | NYY vs BOS@NYY | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1176 | MLB | Anthony Volpe 10 games | NYY vs BOS@NYY | R | 0.5 | +155 | 0.4 | -0.1 | 1/5 | -0.7 | 29 | F | 1.0 | WIN | LOSS | |
| 1177 | MLB | Anthony Volpe 10 games | NYY vs BOS@NYY | TB | 1.5 | +170 | 0.6 | -0.9 | 1/5 | -0.8 | 29 | F | 0.0 | LOSS | WIN | |
| 1178 | MLB | Austin Martin 10 games | MIN vs KCR@MIN | H | 1.5 | +230 | 0.6 | -0.9 | 0/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1179 | MLB | Austin Martin 10 games | MIN vs KCR@MIN | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1180 | MLB | Austin Martin 10 games | MIN vs KCR@MIN | RBI | 0.5 | +247 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1181 | MLB | Austin Riley 10 games | ATL vs PIT@ATL | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1182 | MLB | Blake Perkins 10 games | MIL vs MIL@COL | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1183 | MLB | Blake Perkins 10 games | MIL vs MIL@COL | R | 0.5 | -120 | 0.2 | -0.3 | 1/5 | +0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1184 | MLB | Bo Bichette 10 games | NYM vs NYM@SDP | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1185 | MLB | Bobby Witt Jr. 10 games | KC vs KCR@MIN | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1186 | MLB | Bobby Witt Jr. 10 games | KC vs KCR@MIN | R | 1.5 | +400 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1187 | MLB | Brandon Nimmo 10 games | TEX vs CLE@TEX | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1188 | MLB | Braxton Fulford 10 games | COL vs MIL@COL | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1189 | MLB | Brent Rooker 10 games | ATH vs Athletics@ | H | 1.5 | +260 | 0.8 | -0.7 | 0/5 | +-0 | 29 | F | 2.0 | WIN | LOSS | |
| 1190 | MLB | Brent Rooker 10 games | ATH vs Athletics@ | R | 1.5 | +700 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 1191 | MLB | Brett Baty 10 games | NYM vs NYM@SDP | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1192 | MLB | Brice Matthews 10 games | HOU vs Athletics@ | H | 0.5 | -114 | 0.2 | -0.3 | 1/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1193 | MLB | Brice Matthews 10 games | HOU vs Athletics@ | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1194 | MLB | Brice Matthews 10 games | HOU vs Athletics@ | RBI | 0.5 | +259 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1195 | MLB | Bryan Reynolds 10 games | PIT vs PIT@ATL | H | 1.5 | +260 | 0.6 | -0.9 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1196 | MLB | Bryan Reynolds 10 games | PIT vs PIT@ATL | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1197 | MLB | Bryan Reynolds 10 games | PIT vs PIT@ATL | R | 1.5 | +900 | 0.6 | -0.9 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1198 | MLB | Bryan Reynolds 10 games | PIT vs PIT@ATL | TB | 1.5 | +140 | 0.8 | -0.7 | 1/5 | -1 | 29 | F | 0.0 | LOSS | WIN | |
| 1199 | MLB | Bryan Torres 9 games | STL vs CIN@STL | RBI | 0.5 | +219 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 2.0 | WIN | LOSS | |
| 1200 | MLB | Bryce Elder 10 games | ATL vs PIT@ATL | K | 4.5 | -125 | 4.4 | -0.1 | 2/5 | -1.4 | 29 | F | 4.0 | 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.