Cynical89

Contender - Mustangs - 2-5 (0.286)
11 OVR
overall rating (0–100) · 7 games · how is this calculated?
Overall rating 11/100 Tier dominance: 49th (-0.2 SD) Projects as: Contender Role: Anchor
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
14% of games
Shot %
46%

Per-game production (percentile within Contender)

StatPer gameTotalPercentile in tier
Points 295.57 2069
32nd
Goals 0.71 5
51st
Assists 0.29 2
12th
Saves 1.86 13
97th
Shots 1.57 11
5th
Demos 1.0 7
70th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Contender
Points295.57 #776 / 1215 #75 / 134
Goals0.71 #540 / 1215 #53 / 134
Assists0.29 #860 / 1215 #96 / 134
Saves1.86 #55 / 1215 #3 / 134
Demos1.0 #387 / 1215 #28 / 134

Season projection

Low confidence

64% of the season is played (7 → ~11 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 (142 games across 3 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 2069 3251 3297 3297 3247 – 3348
Goals 5 8 8 7 5 – 10
Assists 2 3 4 3 2 – 5
Saves 13 20 19 18 15 – 22
Shots 11 17 19 18 15 – 23
Demos 7 11 11 11 8 – 13
MVPs 1 2 2 2 1 – 3

Advanced stats (ballchasing)

From 7 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min 320.1
Avg boost 50.7
Boost stolen / game 478.7
% time at 0 boost 10.6%
Avg speed (uu/s) 1408.5
% supersonic 8.8%
% time high in air 2.7%
Avg distance to ball 3332.3
% time attacking third 21.0%
Demos / game 1.0
Demos taken / game 1.0
Shooting % 45.2%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Contender6 0.830.50.83 291
S21Prospect2 1.00.00.5 291
S23Prospect46 0.630.441.09 323
S24Prospect49 0.550.450.94 326
S25Prospect47 0.360.281.17 302
S26Contender7 0.710.291.86 320

Beyond RSC - lifetime & other play

External skill estimate: ~5 OVR High confidence — inferred from 334 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 11.
SourceGames RecordWin % Score/g
Lifetime (all)47491514-2206 41% 271
RSC (official)5022-19 54% 298
Non-RSC ranked 3v3334106-140 43% 234
Non-RSC other43651386-2047 40% 274

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/game0.55 0.5 0.47 – 0.56
Assists/game0.45 0.43 0.41 – 0.5
Saves/game0.94 1.0 0.94 – 1.08
Shots/game1.59 1.73 1.65 – 1.77

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
R00K46 S17Prospect 0.50.51.0 0.75
Mitzi S25Prospect 0.560.520.96 0.85
YERP_YERP02 S21Contender 0.50.50.93 0.86
BromzaTheOldMan S20Challenger 0.640.51.14 0.90
Unc_Rez S25Challenger 0.70.481.04 0.91
Casca . S25Contender 0.560.420.82 0.91
Carno S24Challenger 0.420.421.08 0.92
ASAPxLEG S25Amateur 0.470.371.0 0.94
Casca . S23Prospect 0.560.411.18 0.97
Shraggaholic S19Contender 0.550.461.0 0.98

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.