Russ

Contender - Kappa - 14-10 (0.583)
8 OVR
overall rating (0–100) · 24 games · how is this calculated?
Overall rating 8/100 Tier dominance: 24th (-0.7 SD) Projects as: Contender Role: Role player
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
8% of games
Shot %
33%

Per-game production (percentile within Contender)

StatPer gameTotalPercentile in tier
Points 248.5 5964
8th
Goals 0.67 16
42nd
Assists 0.38 9
23rd
Saves 0.67 16
7th
Shots 2.0 48
25th
Demos 0.38 9
11th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Contender
Points248.5 #906 / 1215 #102 / 134
Goals0.67 #601 / 1215 #60 / 134
Assists0.38 #761 / 1215 #83 / 134
Saves0.67 #913 / 1215 #103 / 134
Demos0.38 #887 / 1215 #99 / 134

Season projection

Medium confidence

64% of the season is played (24 → ~37 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 (132 games across 5 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 5964 9194 9417 9417 9328 – 9507
Goals 16 25 25 24 20 – 29
Assists 9 14 14 14 11 – 18
Saves 16 25 26 26 21 – 31
Shots 48 74 75 73 67 – 83
Demos 9 14 15 14 12 – 19
MVPs 2 3 3 3 2 – 5

Advanced stats (ballchasing)

Advanced OVR 4 /100

From 20 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 299.2
Avg boost 49.0
Boost stolen / game 438.6
% time at 0 boost 10.7%
Avg speed (uu/s) 1423.1
% supersonic 8.3%
% time high in air 1.6%
Avg distance to ball 3458.4
% time attacking third 21.6%
Demos / game 0.5
Demos taken / game 0.6
Shooting % 27.0%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Amateur15 0.670.270.6 270
S22Contender13 0.620.540.77 312
S23Amateur49 0.470.330.92 321
S24Prospect19 0.320.370.84 297
S25Contender36 0.670.390.94 284
S26Contender20 0.70.350.65 299

Beyond RSC - lifetime & other play

External skill estimate: ~32 OVR Low confidence — inferred from 20 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 8.
SourceGames RecordWin % Score/g
Lifetime (all)875301-373 45% 261
RSC (official)4815-21 42% 232
Non-RSC ranked 3v3208-8 50% 276
Non-RSC other807278-344 45% 262

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/game0.7 0.69 0.63 – 0.76
Assists/game0.35 0.41 0.33 – 0.46
Saves/game0.65 0.76 0.62 – 0.94
Shots/game2.0 2.0 1.89 – 2.27

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
FULLBL00DN8V S22Amateur 0.70.430.7 0.96
Abeillonnaise S24Rival 0.680.460.91 1.12
YourBadKittyCat S19Amateur 0.580.450.58 1.15
renightly S24Rival 0.630.410.67 1.16
Brillo_padd S24Challenger 0.760.360.76 1.18
Russ S25Contender 0.670.390.94 1.20
Bronzetpole S26Amateur 0.570.320.89 1.24
Hey S19Amateur 0.820.530.47 1.30
Alpha Dingo S24Rival 0.60.50.98 1.31
Celiaaaaah13 S20Prospect 0.510.420.73 1.31

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.