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 | Kyle Stowers 10 games | MIA vs SDP@MIA | RBI | 0.5 | +145 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1152 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYM | RBI | 0.5 | +187 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 2.0 | WIN | LOSS | |
| 1153 | MLB | Lane Thomas 10 games | KC vs KCR@DET | RBI | 0.5 | +309 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1154 | MLB | Lars Nootbaar 10 games | STL vs CIN@STL | H | 1.5 | +300 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1155 | MLB | Lars Nootbaar 10 games | STL vs CIN@STL | RBI | 1.5 | +550 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1156 | MLB | Lars Nootbaar 10 games | STL vs CIN@STL | TB | 1.5 | +150 | 0.8 | -0.7 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1157 | MLB | Leody Taveras 10 games | BAL vs ATL@BAL | RBI | 1.5 | +550 | 0.6 | -0.9 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1158 | MLB | Liam Hicks 10 games | MIA vs SDP@MIA | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1159 | MLB | Liam Hicks 10 games | MIA vs SDP@MIA | RBI | 0.5 | +175 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1160 | MLB | Lucas Spence 6 games | HOU vs HOU@CHW | H | 1.5 | +475 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 1161 | MLB | Lucas Spence 6 games | HOU vs HOU@CHW | RBI | 0.5 | +289 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1162 | MLB | Luis Campusano 10 games | SD vs SDP@MIA | R | 0.5 | +145 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1163 | MLB | Luis Campusano 10 games | SD vs SDP@MIA | RBI | 0.5 | +248 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1164 | MLB | Luis Rengifo 10 games | SD vs SDP@MIA | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 1165 | MLB | Luis Robert Jr. 3 games | NYM vs LAD@NYM | HR | 0.5 | +575 | 0.3 | -0.2 | 1/3 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 1166 | MLB | Luis Robert Jr. 3 games | NYM vs LAD@NYM | R | 0.5 | +160 | 0.3 | -0.2 | 1/3 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 1167 | MLB | Luis Robert Jr. 3 games | NYM vs LAD@NYM | RBI | 0.5 | +227 | 0.3 | -0.2 | 1/3 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 1168 | MLB | Luis Robert Jr. 3 games | NYM vs LAD@NYM | TB | 1.5 | +170 | 1.3 | -0.2 | 1/3 | +0 | 32 | F | 4.0 | WIN | LOSS | |
| 1169 | MLB | Luke Keaschall 10 games | MIN vs Athletics@ | R | 0.5 | +130 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1170 | MLB | Luke Keaschall 10 games | MIN vs Athletics@ | RBI | 0.5 | +230 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1171 | MLB | Marcell Ozuna 10 games | PIT vs CHC@PIT | H | 1.5 | +400 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1172 | MLB | Marcell Ozuna 10 games | PIT vs CHC@PIT | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1173 | MLB | Marcell Ozuna 10 games | PIT vs CHC@PIT | R | 1.5 | +1300 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 1174 | MLB | Marcell Ozuna 10 games | PIT vs CHC@PIT | RBI | 0.5 | +242 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1175 | MLB | Marcus Semien 10 games | NYM vs LAD@NYM | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1176 | MLB | Marcus Semien 10 games | NYM vs LAD@NYM | R | 0.5 | +190 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1177 | MLB | Marcus Semien 10 games | NYM vs LAD@NYM | RBI | 0.5 | +307 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1178 | MLB | Masataka Yoshida 10 games | BOS vs TOR@BOS | R | 0.5 | +145 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 1179 | MLB | Matt Olson 10 games | ATL vs ATL@BAL | RBI | 0.5 | +152 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 3.0 | WIN | LOSS | |
| 1180 | MLB | Matthew Boyd 5 games | CHC vs CHC@PIT | K | 5.5 | +106 | 4 | -1.5 | 1/5 | +0.7 | 32 | F | 4.0 | LOSS | WIN | |
| 1181 | MLB | Matthew Boyd 5 games | CHC vs CHC@PIT | K | 6.5 | +215 | 4 | -2.5 | 1/5 | +0.7 | 32 | F | 4.0 | LOSS | WIN | |
| 1182 | MLB | Max Kepler 10 games | AZ vs ARI@WSN | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1183 | MLB | Max Kepler 10 games | AZ vs ARI@WSN | RBI | 1.5 | +475 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1184 | MLB | Michael Busch 10 games | CHC vs CHC@PIT | H | 1.5 | +320 | 1.4 | -0.1 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1185 | MLB | Michael Conforto 10 games | CHC vs CHC@PIT | H | 0.5 | -133 | 0.4 | -0.1 | 2/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1186 | MLB | Michael Conforto 10 games | CHC vs CHC@PIT | RBI | 0.5 | +214 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1187 | MLB | Michael Harris II 10 games | ATL vs ATL@BAL | R | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 1188 | MLB | Miguel Rojas 10 games | LAD vs LAD@NYM | RBI | 0.5 | +216 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 1189 | MLB | Miguel Vargas 10 games | CWS vs HOU@CHW | H | 1.5 | +260 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1190 | MLB | Miguel Vargas 10 games | CWS vs HOU@CHW | R | 1.5 | +600 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 1191 | MLB | Miguel Vargas 10 games | CWS vs HOU@CHW | RBI | 0.5 | +144 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1192 | MLB | Mike Trout 10 games | LAA vs LAA@SFG | R | 0.5 | +120 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1193 | MLB | Mookie Betts 10 games | LAD vs LAD@NYM | HR | 0.5 | +575 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 1194 | MLB | Munetaka Murakami 10 games | CWS vs HOU@CHW | R | 1.5 | +475 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 1195 | MLB | Myles Straw 10 games | TOR vs TOR@BOS | R | 0.5 | +195 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1196 | MLB | Nathan Church 10 games | STL vs CIN@STL | H | 1.5 | +300 | 0.6 | -0.9 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1197 | MLB | Nathan Church 10 games | STL vs CIN@STL | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 1198 | MLB | Nathan Church 10 games | STL vs CIN@STL | RBI | 0.5 | +190 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1199 | MLB | Nathan Church 10 games | STL vs CIN@STL | TB | 1.5 | +170 | 0.6 | -0.9 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1200 | MLB | Nathaniel Lowe 10 games | CIN vs CIN@STL | H | 1.5 | +360 | 1 | -0.5 | 1/5 | +-0 | 32 | F | 2.0 | 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.