Dc

Rival - Polar Bears - 17-19 (0.472)
51 OVR
overall rating (0–100) · 36 games · how is this calculated?
Overall rating 51/100 Tier dominance: 49th (+-0.0 SD) Projects as: Rival 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
6
17% of games
Shot %
28%

Per-game production (percentile within Rival)

StatPer gameTotalPercentile in tier
Points 340.61 12262
42nd
Goals 0.69 25
42nd
Assists 0.58 21
59th
Saves 1.14 41
24th
Shots 2.5 90
47th
Demos 0.75 27
28th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Rival
Points340.61 #497 / 1215 #78 / 164
Goals0.69 #567 / 1215 #77 / 164
Assists0.58 #386 / 1215 #54 / 164
Saves1.14 #641 / 1215 #103 / 164
Demos0.75 #633 / 1215 #94 / 164

Season projection

Medium confidence

56% of the season is played (36 → ~64 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 (80 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 12262 21799 21802 21802 21642 – 21962
Goals 25 44 45 46 37 – 52
Assists 21 37 37 37 30 – 44
Saves 41 73 74 73 65 – 83
Shots 90 160 160 165 146 – 174
Demos 27 48 49 48 42 – 57
MVPs 6 11 11 11 7 – 14

Advanced stats (ballchasing)

Advanced OVR 55 /100

From 31 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 400.7
Avg boost 50.0
Boost stolen / game 578.3
% time at 0 boost 9.9%
Avg speed (uu/s) 1491.7
% supersonic 12.0%
% time high in air 5.5%
Avg distance to ball 3047.1
% time attacking third 21.4%
Demos / game 0.8
Demos taken / game 0.7
Shooting % 29.6%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Rival8 0.50.251.38 360
S22Rival8 0.620.620.75 363
S25Rival64 0.950.551.2 391
S26Rival31 0.710.581.13 401

Beyond RSC - lifetime & other play

External skill estimate: ~67 OVR Medium confidence — inferred from 88 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 51.
SourceGames RecordWin % Score/g
Lifetime (all)1311581-433 57% 374
Non-RSC ranked 3v38830-25 55% 332
Non-RSC other1223551-408 57% 377

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/game0.71 0.76 0.69 – 0.82
Assists/game0.58 0.57 0.53 – 0.64
Saves/game1.13 1.19 1.11 – 1.25
Shots/game2.45 2.5 2.37 – 2.62

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
EKA Luminous S24Elite 0.730.571.19 0.61
Metatonixz S22Veteran 0.70.571.11 0.69
Jaybeauh S26Veteran 0.80.61.1 0.72
Free. S23Rival 0.580.61.2 0.73
slendda S25Rival 0.840.511.14 0.76
(P|F)ineapple S24Elite 0.670.651.33 0.82
Kayo. S23Rival 0.860.621.16 0.85
CagiestSafe6 S23Challenger 0.760.691.07 0.85
nickm S24Elite 0.770.641.07 0.88
Ziffy S25Veteran 0.740.680.97 0.90

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.