Panda

Challenger - Gold Hoarders - 22-10 (0.688)
43 OVR
overall rating (0–100) · 32 games · how is this calculated?
Overall rating 43/100 Tier dominance: 87th (+1.2 SD) Projects as: Challenger Role: Striker / 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
5
16% of games
Shot %
41%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 377.28 12073
74th
Goals 1.16 37
91st
Assists 0.69 22
80th
Saves 1.09 35
27th
Shots 2.84 91
75th
Demos 1.09 35
71st

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Challenger
Points377.28 #233 / 1213 #34 / 166
Goals1.16 #68 / 1213 #11 / 166
Assists0.69 #207 / 1213 #26 / 166
Saves1.09 #670 / 1213 #96 / 166
Demos1.09 #335 / 1213 #38 / 166

Season projection

High confidence

60% of the season is played (32 → ~53 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 (202 games across 6 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 12073 19996 19845 19845 19705 – 19984
Goals 37 61 60 59 52 – 67
Assists 22 36 36 35 30 – 42
Saves 35 58 59 57 51 – 66
Shots 91 151 149 148 137 – 161
Demos 35 58 57 60 50 – 65
MVPs 5 8 8 8 5 – 11

Advanced stats (ballchasing)

Advanced OVR 80 /100

From 32 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 381.8
Avg boost 46.3
Boost stolen / game 495.7
% time at 0 boost 13.2%
Avg speed (uu/s) 1480.4
% supersonic 9.7%
% time high in air 2.8%
Avg distance to ball 2956.9
% time attacking third 22.0%
Demos / game 1.1
Demos taken / game 0.9
Shooting % 40.5%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Challenger16 0.810.440.94 392
S21Challenger12 0.750.330.42 335
S22Challenger28 0.790.791.0 367
S23Rival50 0.820.520.78 364
S24Rival44 0.550.410.75 345
S25Challenger52 0.830.51.21 386
S26Challenger32 1.160.691.09 382

Beyond RSC - lifetime & other play

External skill estimate: ~43 OVR High confidence — inferred from 797 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 43.
SourceGames RecordWin % Score/g
Lifetime (all)71812909-2810 51% 321
RSC (official)4422-13 63% 284
Non-RSC ranked 3v3797296-313 49% 294
Non-RSC other63402591-2484 51% 325

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/game1.16 1.08 0.98 – 1.17
Assists/game0.69 0.66 0.62 – 0.73
Saves/game1.09 1.17 1.09 – 1.2
Shots/game2.84 2.92 2.82 – 3.0

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
cJax S26Challenger 1.240.711.24 1.03
imtobad00 S23Challenger 0.980.641.2 1.05
chawes. S24Elite 0.980.650.95 1.05
Larkspur S24Challenger 0.930.781.19 1.08
kyllonen_ S17Challenger 1.380.621.12 1.09
Godless S20Challenger 0.90.71.1 1.11
Buck S24Elite 0.980.761.17 1.11
Fish S20Rival 1.250.580.96 1.11
Irishhhh S25Rival 1.00.651.18 1.14
Orphaned Baby Pangolin S25Contender 1.080.681.2 1.14

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.