Velo

Rival - Polar Ice - 6-7 (0.462)
52 OVR
overall rating (0–100) · 13 games · how is this calculated?
Overall rating 52/100 Tier dominance: 50th (+-0.0 SD) Projects as: Rival Role: Striker
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
8% of games
Shot %
54%

Per-game production (percentile within Rival)

StatPer gameTotalPercentile in tier
Points 310.0 4030
23rd
Goals 1.0 13
82nd
Assists 0.38 5
21st
Saves 0.77 10
5th
Shots 1.85 24
13th
Demos 1.08 14
64th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Rival
Points310.0 #700 / 1215 #104 / 164
Goals1.0 #132 / 1215 #22 / 164
Assists0.38 #750 / 1215 #105 / 164
Saves0.77 #888 / 1215 #128 / 164
Demos1.08 #345 / 1215 #49 / 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 (174 games across 4 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 4030 7130 7249 7249 7161 – 7337
Goals 13 23 22 21 17 – 27
Assists 5 9 9 10 6 – 13
Saves 10 18 20 19 15 – 25
Shots 24 42 45 45 38 – 52
Demos 14 25 25 25 20 – 30
MVPs 1 2 2 2 1 – 4

Advanced stats (ballchasing)

From 9 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min 327.0
Avg boost 44.5
Boost stolen / game 508.0
% time at 0 boost 14.3%
Avg speed (uu/s) 1417.2
% supersonic 6.8%
% time high in air 3.4%
Avg distance to ball 3094.0
% time attacking third 22.1%
Demos / game 1.1
Demos taken / game 0.8
Shooting % 44.4%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Challenger40 0.550.380.95 326
S23Challenger58 0.740.51.03 307
S24Rival26 0.380.580.85 330
S25Challenger50 0.720.921.02 321
S26Rival9 1.00.560.67 327

Beyond RSC - lifetime & other play

External skill estimate: ~59 OVR Medium confidence — inferred from 75 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 52.
SourceGames RecordWin % Score/g
Lifetime (all)2467947-1039 48% 315
RSC (official)5115-27 36% 304
Non-RSC ranked 3v37529-35 45% 319
Non-RSC other2341903-977 48% 315

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/game1.0 0.86 0.75 – 0.92
Assists/game0.56 0.5 0.44 – 0.57
Saves/game0.67 0.83 0.67 – 0.89
Shots/game1.89 2.2 2.0 – 2.28

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
OnContract S26Amateur 0.960.560.72 1.11
T Sant S21Rival 0.880.50.62 1.15
Ark7000 S19Contender 1.00.560.89 1.17
Emily26210 S23Amateur 0.70.570.57 1.27
Sup3rm4n S22Contender 0.960.50.92 1.29
Bronzetpole S25Amateur 0.880.650.73 1.31
YERP_YERP02 S22Contender 0.810.610.78 1.34
Tragic Event S18Rival 0.80.40.67 1.36
GreatHonda S20Contender 0.890.440.72 1.38
YERP_YERP02 S25Contender 0.880.570.84 1.48

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.