Treefrog

Prospect - Red Legion - 17-11 (0.607)
24 OVR
overall rating (0–100) · 28 games · how is this calculated?
Overall rating 24/100 Tier dominance: 59th (+0.2 SD) Projects as: Prospect Role: Playmaker
How are these calculated?

Composite: each per-game stat (goals, assists, saves, shots, demos, shooting %, MVPs) is turned into a z-score vs the player's tier peers, weighted by how much it correlates with winning, summed, then shrunk toward the tier average for small samples (games / (games + 8)).

Tier dominance: that composite expressed two ways - a percentile within the tier (rank), and a margin in standard deviations above the tier average (how big an outlier). The margin is what flags genuine outliers vs. someone merely top of a tight tier.

Overall rating (0-100): the composite plus a tier-strength bonus (Premier counts most), turned into a league-wide percentile - so it's comparable across tiers, unlike tier dominance.

Projects as: re-sorting every player by overall skill into the tiers' real sizes, the tier this player would land in. Projecting up a tier (and being an outlier) = "overskilled." A model estimate.

MVPs
2
7% of games
Shot %
41%

Per-game production (percentile within Prospect)

StatPer gameTotalPercentile in tier
Points 313.43 8776
36th
Goals 0.82 23
60th
Assists 0.75 21
86th
Saves 0.96 27
20th
Shots 2.0 56
20th
Demos 0.93 26
54th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Prospect
Points313.43 #684 / 1215 #85 / 161
Goals0.82 #367 / 1215 #53 / 161
Assists0.75 #116 / 1215 #17 / 161
Saves0.96 #805 / 1215 #107 / 161
Demos0.93 #483 / 1215 #61 / 161

Season projection

High confidence

60% of the season is played (28 → ~47 games). Projected (this season) blends the current rate with the tier average (regression to the mean). Projected (all data) instead regresses toward the player’s own career rate (192 games across 6 past seasons). Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat Now Pace Projected (season) Projected (all data) 80% range
Points 8776 14731 14804 14804 14681 – 14927
Goals 23 39 38 38 32 – 44
Assists 21 35 34 34 29 – 40
Saves 27 45 46 45 39 – 53
Shots 56 94 96 96 86 – 106
Demos 26 44 44 44 37 – 50
MVPs 2 3 4 4 2 – 6

Advanced stats (ballchasing)

Advanced OVR 58 /100

From 28 ballchasing replays (matches + scrims). Advanced OVR is a percentile among the 762 players with enough replay data - separate from the box-score OVR above.

Boost / min 404.6
Avg boost 50.6
Boost stolen / game 488.9
% time at 0 boost 14.3%
Avg speed (uu/s) 1570.8
% supersonic 14.4%
% time high in air 3.2%
Avg distance to ball 3233.2
% time attacking third 20.6%
Demos / game 0.9
Demos taken / game 1.1
Shooting % 43.0%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Challenger8 0.50.751.25 416
S21Challenger10 0.30.31.3 398
S22Prospect27 0.780.630.93 416
S23Challenger60 0.680.830.77 414
S24Challenger46 0.780.521.04 409
S25Prospect41 0.80.440.73 405
S26Prospect28 0.820.750.96 405

Beyond RSC - lifetime & other play

External skill estimate: ~33 OVR High confidence — inferred from 1021 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 24.
SourceGames RecordWin % Score/g
Lifetime (all)75652835-3274 46% 305
RSC (official)6327-24 53% 297
Non-RSC ranked 3v31021381-416 48% 277
Non-RSC other64812427-2834 46% 310

From public ballchasing replays (score-based, so no goals/saves breakdown). Non-RSC play tracks a player's overall level well but not their standing within a tier — see the ratings notes. Only players with a Steam id and uploaded public games appear here.

Historical analysis - data: Official · All seasons (change in the nav)

Comparable-based outlook

High confidence

Where the 25 most similar players from 11 completed past season(s) landed for each per-game stat (median + middle-50% range). A "players like you finished here" anchor that complements the pace projection above.

StatThis seasonComparables medianTypical range
Goals/game0.82 0.74 0.69 – 0.79
Assists/game0.75 0.68 0.65 – 0.73
Saves/game0.96 1.05 0.92 – 1.13
Shots/game2.0 2.27 2.17 – 2.36

Most similar players (across RSC history)

Nearest matches by per-game production & play-style (goals, assists, saves, shots, boost, speed, positioning, demos), standardized across 6659 player-seasons. Lower distance = more similar.

PlayerSeasonTierGoals/gAssists/gSaves/gSimilarity
Slinkxyz S25Rival 0.760.710.91 0.53
archhie. S17Veteran 0.670.580.92 1.09
PoiisonDeath S22Veteran 0.790.671.04 1.14
Cr1m5on_RL S24Challenger 0.70.550.92 1.22
robotman321 S26Veteran 0.790.830.96 1.24
Swax S23Master 0.740.781.17 1.28
Treefrog S24Challenger 0.780.521.04 1.28
YasuCobra S25Challenger 0.650.711.16 1.28
OccasionalyJones S14Rival 0.830.750.83 1.29
Ruin5terr S26Premier 0.560.781.11 1.29

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.


Data source: live (rscna.com) - standings & schedule refresh hourly.