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Rival - Wind - 4-9 (0.308)
46 OVR
overall rating (0–100) · 13 games · how is this calculated?
Overall rating 46/100 Tier dominance: 11th (-1.2 SD) Projects as: Rival 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
0
0% of games
Shot %
24%

Per-game production (percentile within Rival)

StatPer gameTotalPercentile in tier
Points 349.77 4547
53rd
Goals 0.62 8
28th
Assists 0.38 5
20th
Saves 1.46 19
67th
Shots 2.54 33
50th
Demos 0.31 4
4th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Rival
Points349.77 #416 / 1213 #63 / 164
Goals0.62 #668 / 1213 #94 / 164
Assists0.38 #737 / 1213 #107 / 164
Saves1.46 #302 / 1213 #43 / 164
Demos0.31 #895 / 1213 #128 / 164

Season projection

Low confidence

56% of the season is played (13 → ~23 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 (38 games across 1 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 4547 8045 8021 8021 7929 – 8112
Goals 8 14 15 15 11 – 19
Assists 5 9 9 9 6 – 13
Saves 19 34 33 32 27 – 39
Shots 33 58 58 59 50 – 66
Demos 4 7 10 9 6 – 14
MVPs 0 0 1 1 0 – 2

Advanced stats (ballchasing)

Advanced OVR 29 /100

From 13 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 349.1
Avg boost 53.8
Boost stolen / game 418.4
% time at 0 boost 8.2%
Avg speed (uu/s) 1536.6
% supersonic 12.2%
% time high in air 4.5%
Avg distance to ball 3163.7
% time attacking third 19.6%
Demos / game 0.3
Demos taken / game 1.2
Shooting % 31.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S25Challenger38 0.710.371.18 360
S26Rival13 0.620.381.46 349

Beyond RSC - lifetime & other play

External skill estimate: ~42 OVR Medium confidence — inferred from 99 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 46.
SourceGames RecordWin % Score/g
Lifetime (all)1957766-804 49% 389
Non-RSC ranked 3v39925-41 38% 292
Non-RSC other1858741-763 49% 394

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/game0.61 0.64 0.6 – 0.72
Assists/game0.39 0.4 0.36 – 0.49
Saves/game1.46 1.44 1.35 – 1.61
Shots/game2.54 2.41 2.29 – 2.54

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
Python S23Elite 0.450.451.59 0.99
Saucy Rexy S26Master 0.730.421.58 1.00
Blun S25Rival 0.620.491.36 1.06
Nuke S19Veteran 0.770.461.62 1.08
jnah S14Master 0.830.331.58 1.09
pokenine101 S23Challenger 0.610.431.39 1.17
Kovalchuk S26Veteran 0.610.441.56 1.19
Lup S23Master 0.640.431.29 1.19
Drippin_Ice1 S26Prospect 0.580.391.48 1.22
AEB311 S26Elite 0.790.541.42 1.23

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.