Blun

Challenger - Warthogs - 9-26 (0.257)
34 OVR
overall rating (0–100) · 35 games · how is this calculated?
Overall rating 34/100 Tier dominance: 29th (-0.7 SD) Projects as: Challenger 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
5
14% of games
Shot %
26%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 348.23 12188
57th
Goals 0.6 21
26th
Assists 0.57 20
56th
Saves 1.57 55
83rd
Shots 2.29 80
32nd
Demos 0.54 19
20th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points348.23 #438 / 1215 #57 / 166
Goals0.6 #692 / 1215 #97 / 166
Assists0.57 #401 / 1215 #56 / 166
Saves1.57 #186 / 1215 #22 / 166
Demos0.54 #783 / 1215 #106 / 166

Season projection

High confidence

60% of the season is played (35 → ~58 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 (171 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 12188 20197 20168 20168 20026 – 20309
Goals 21 35 35 36 29 – 42
Assists 20 33 33 33 27 – 39
Saves 55 91 90 89 81 – 99
Shots 80 133 133 134 122 – 145
Demos 19 31 33 32 27 – 39
MVPs 5 8 8 8 5 – 11

Advanced stats (ballchasing)

Advanced OVR 38 /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 361.5
Avg boost 48.2
Boost stolen / game 446.7
% time at 0 boost 9.8%
Avg speed (uu/s) 1527.6
% supersonic 11.2%
% time high in air 3.3%
Avg distance to ball 2966.9
% time attacking third 19.4%
Demos / game 0.6
Demos taken / game 1.0
Shooting % 27.3%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Rival5 0.40.40.4 349
S21Rival16 0.880.750.94 340
S22Rival8 0.50.380.88 336
S23Rival55 0.80.471.25 345
S24Rival47 1.210.570.85 344
S25Rival45 0.620.491.36 340
S26Challenger31 0.640.641.61 362

Beyond RSC - lifetime & other play

External skill estimate: ~53 OVR High confidence — inferred from 850 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 34.
SourceGames RecordWin % Score/g
Lifetime (all)62262290-2698 46% 332
RSC (official)4116-20 44% 364
Non-RSC ranked 3v3850308-352 47% 310
Non-RSC other53351966-2326 46% 335

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/game0.65 0.67 0.62 – 0.69
Assists/game0.65 0.64 0.58 – 0.69
Saves/game1.61 1.59 1.47 – 1.65
Shots/game2.35 2.41 2.35 – 2.47

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
SWZYY GN S24Challenger 0.550.571.45 0.74
Mochi S23Veteran 0.650.711.65 0.82
Crazics S24Elite 0.680.571.59 0.83
Clyde S22Veteran 0.60.681.4 0.91
depressed vibez S24Elite 0.680.611.58 0.92
NekomancerKoral S22Rival 0.750.691.62 0.92
Braybaum02 S23Veteran 0.660.751.51 0.93
Crypt_RL S20Elite 0.640.641.46 0.93
SSpekky S26Master 0.520.521.71 0.94
Mochi S25Elite 0.770.631.63 0.94

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.