Unc Jeebs

Challenger - Gold Hoarders - 22-13 (0.629)
40 OVR
overall rating (0–100) · 35 games · how is this calculated?
Overall rating 40/100 Tier dominance: 66th (+0.2 SD) Projects as: Challenger 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
14% of games
Shot %
35%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 364.8 12768
69th
Goals 0.89 31
71st
Assists 0.6 21
63rd
Saves 1.29 45
51st
Shots 2.51 88
53rd
Demos 1.0 35
56th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points364.8 #304 / 1215 #41 / 166
Goals0.89 #266 / 1215 #38 / 166
Assists0.6 #344 / 1215 #46 / 166
Saves1.29 #482 / 1215 #65 / 166
Demos1.0 #387 / 1215 #53 / 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 (41 games across 1 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 12768 21158 21058 21058 20913 – 21202
Goals 31 51 51 50 44 – 58
Assists 21 35 35 35 29 – 40
Saves 45 75 75 74 66 – 83
Shots 88 146 146 146 134 – 158
Demos 35 58 58 59 50 – 65
MVPs 5 8 8 8 5 – 11

Advanced stats (ballchasing)

Advanced OVR 53 /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 328.4
Avg boost 47.7
Boost stolen / game 475.9
% time at 0 boost 10.5%
Avg speed (uu/s) 1439.1
% supersonic 9.8%
% time high in air 4.1%
Avg distance to ball 2961.1
% time attacking third 20.7%
Demos / game 1.1
Demos taken / game 1.3
Shooting % 38.1%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S24Rival41 0.660.611.2 322
S26Challenger31 0.940.611.03 328

Beyond RSC - lifetime & other play

External skill estimate: ~55 OVR High confidence — inferred from 3304 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 40.
SourceGames RecordWin % Score/g
Lifetime (all)60002363-2239 51% 364
RSC (official)127-3 70% 301
Non-RSC ranked 3v333041209-1217 50% 314
Non-RSC other26841147-1019 53% 425

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/game0.94 0.9 0.81 – 0.94
Assists/game0.61 0.63 0.59 – 0.68
Saves/game1.03 1.15 1.06 – 1.21
Shots/game2.68 2.65 2.59 – 2.83

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
HyPe56 S21Contender 0.930.560.95 0.82
Jarrod81535 S23Challenger 1.00.571.16 0.87
birds aren't real S24Challenger 0.920.581.17 0.88
ZavaRL S23Elite 0.890.691.08 0.89
Auty RL S25Challenger 0.770.61.08 0.97
ChefHoffy S22Challenger 0.770.541.0 0.98
Chicken S23Rival 1.070.661.15 0.99
lts_Bran S23Challenger 0.890.681.2 1.00
Braedyn S17Veteran 0.820.651.12 1.01
Kayo04 S25Rival 0.860.751.24 1.02

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.