JesterGG

Veteran - Kirin - 11-13 (0.458)
69 OVR
overall rating (0–100) · 24 games · how is this calculated?
Overall rating 69/100 Tier dominance: 74th (+0.6 SD) Projects as: Veteran 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
5
21% of games
Shot %
37%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 365.29 8767
64th
Goals 0.92 22
73rd
Assists 0.5 12
30th
Saves 1.38 33
46th
Shots 2.5 60
38th
Demos 1.04 25
54th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points365.29 #302 / 1215 #49 / 170
Goals0.92 #233 / 1215 #37 / 170
Assists0.5 #516 / 1215 #86 / 170
Saves1.38 #385 / 1215 #69 / 170
Demos1.04 #373 / 1215 #63 / 170

Season projection

Medium confidence

56% of the season is played (24 → ~43 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 (138 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 8767 15708 15654 15654 15520 – 15788
Goals 22 39 39 39 32 – 45
Assists 12 22 22 22 17 – 27
Saves 33 59 59 61 51 – 67
Shots 60 108 108 108 97 – 119
Demos 25 45 45 46 38 – 52
MVPs 5 9 9 9 6 – 12

Advanced stats (ballchasing)

Advanced OVR 77 /100

From 20 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 420.8
Avg boost 50.7
Boost stolen / game 597.9
% time at 0 boost 12.6%
Avg speed (uu/s) 1511.6
% supersonic 13.3%
% time high in air 5.1%
Avg distance to ball 3097.2
% time attacking third 23.4%
Demos / game 1.1
Demos taken / game 1.1
Shooting % 36.4%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Rival4 1.50.751.5 430
S23Rival60 0.930.571.65 425
S24Veteran39 0.850.461.41 409
S25Veteran39 0.620.562.2 419
S26Veteran20 0.90.551.4 421

Beyond RSC - lifetime & other play

External skill estimate: ~60 OVR Low confidence — inferred from 23 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 69.
SourceGames RecordWin % Score/g
Lifetime (all)953376-377 50% 373
RSC (official)76-1 86% 321
Non-RSC ranked 3v3239-2 82% 321
Non-RSC other923361-374 49% 375

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/game0.9 0.82 0.76 – 0.89
Assists/game0.55 0.55 0.52 – 0.6
Saves/game1.4 1.33 1.24 – 1.47
Shots/game2.5 2.59 2.52 – 2.72

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
Rzemb1e S23Master 0.880.541.23 0.80
Axlos (Goofy and Silly) S23Elite 0.860.51.24 0.83
cjAstr0- S22Rival 0.780.561.33 0.93
Leonis S20Premier 0.850.651.45 0.96
Gray S24Elite 0.820.571.54 0.97
Laser S21Master 0.820.611.57 1.04
Wafe S22Veteran 0.810.531.42 1.06
WuhanEggroll295 S14Rival 1.080.581.33 1.08
Skrilpp S23Rival 0.770.51.18 1.09
GreenSleeves S17Premier 1.00.551.55 1.10

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.