Gmoney

Prospect - Merchants - 17-12 (0.586)
16 OVR
overall rating (0–100) · 29 games · how is this calculated?
Overall rating 16/100 Tier dominance: 2nd (-1.8 SD) Projects as: Contender ↓ Below tier level 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
1
3% of games
Shot %
21%

Per-game production (percentile within Prospect)

StatPer gameTotalPercentile in tier
Points 257.52 7468
10th
Goals 0.34 10
8th
Assists 0.66 19
74th
Saves 1.0 29
23rd
Shots 1.62 47
8th
Demos 0.62 18
27th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Prospect
Points257.52 #883 / 1215 #120 / 161
Goals0.34 #892 / 1215 #122 / 161
Assists0.66 #265 / 1215 #34 / 161
Saves1.0 #738 / 1215 #97 / 161
Demos0.62 #740 / 1215 #97 / 161

Season projection

High confidence

60% of the season is played (29 → ~48 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 (105 games across 2 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 7468 12361 12661 12661 12547 – 12775
Goals 10 17 18 19 14 – 23
Assists 19 31 31 31 26 – 36
Saves 29 48 49 48 42 – 56
Shots 47 78 81 84 72 – 90
Demos 18 30 31 32 25 – 37
MVPs 1 2 2 2 1 – 4

Advanced stats (ballchasing)

Advanced OVR 2 /100

From 26 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 320.3
Avg boost 51.7
Boost stolen / game 359.2
% time at 0 boost 6.7%
Avg speed (uu/s) 1394.5
% supersonic 6.4%
% time high in air 3.1%
Avg distance to ball 3179.2
% time attacking third 18.4%
Demos / game 0.6
Demos taken / game 1.1
Shooting % 24.6%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S24Prospect54 0.760.571.02 339
S25Prospect51 0.80.741.02 320
S26Prospect26 0.380.731.0 320

Beyond RSC - lifetime & other play

External skill estimate: ~35 OVR High confidence — inferred from 597 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 16.
SourceGames RecordWin % Score/g
Lifetime (all)51021850-2042 48% 296
RSC (official)9732-41 44% 317
Non-RSC ranked 3v3597218-224 49% 281
Non-RSC other44081600-1777 47% 298

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/game0.39 0.5 0.45 – 0.56
Assists/game0.73 0.6 0.56 – 0.67
Saves/game1.0 1.03 0.96 – 1.24
Shots/game1.61 1.7 1.57 – 1.85

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
MoonKnight2 S26Contender 0.450.711.06 0.87
MeOnDisplay S20Prospect 0.590.820.94 1.15
Goum S24Rival 0.460.771.0 1.18
Sly S22Veteran 0.490.571.03 1.18
Heimfari S26Contender 0.480.70.78 1.21
robophant S23Challenger 0.550.551.15 1.32
R00K46 S17Prospect 0.50.51.0 1.37
frankieeagle S26Contender 0.580.740.97 1.37
Shadow_11Bravo S24Challenger 0.610.671.24 1.38
HybridParagon S22Rival 0.330.671.08 1.38

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.