Jolt

Elite - Krakens - 18-18 (0.500)
81 OVR
overall rating (0–100) · 36 games · how is this calculated?
Overall rating 81/100 Tier dominance: 61st (+0.3 SD) Projects as: Elite 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
6
17% of games
Shot %
27%

Per-game production (percentile within Elite)

StatPer gameTotalPercentile in tier
Points 362.17 13038
53rd
Goals 0.83 30
60th
Assists 0.5 18
33rd
Saves 1.39 50
47th
Shots 3.08 111
83rd
Demos 1.42 51
78th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Elite
Points362.17 #327 / 1215 #61 / 179
Goals0.83 #331 / 1215 #48 / 179
Assists0.5 #516 / 1215 #81 / 179
Saves1.39 #370 / 1215 #67 / 179
Demos1.42 #162 / 1215 #28 / 179

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 (196 games across 4 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 13038 23179 23140 23140 22975 – 23305
Goals 30 53 53 54 45 – 61
Assists 18 32 32 33 26 – 39
Saves 50 89 89 90 79 – 99
Shots 111 197 195 195 180 – 210
Demos 51 91 89 91 79 – 99
MVPs 6 11 11 11 7 – 14

Advanced stats (ballchasing)

Advanced OVR 65 /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 433.0
Avg boost 54.2
Boost stolen / game 544.4
% time at 0 boost 7.8%
Avg speed (uu/s) 1594.9
% supersonic 18.3%
% time high in air 3.7%
Avg distance to ball 2918.3
% time attacking third 19.8%
Demos / game 1.2
Demos taken / game 0.9
Shooting % 24.7%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Elite16 0.750.381.62 483
S22Elite2 0.51.51.5 433
S23Elite60 1.020.571.48 442
S24Elite56 0.880.751.57 467
S25Elite64 0.810.521.62 458
S26Elite32 0.780.531.44 433

Beyond RSC - lifetime & other play

External skill estimate: ~73 OVR High confidence — inferred from 487 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 81.
SourceGames RecordWin % Score/g
Lifetime (all)62312468-2536 49% 393
RSC (official)4718-17 51% 358
Non-RSC ranked 3v3487183-181 50% 342
Non-RSC other56972267-2338 49% 397

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/game0.78 0.81 0.75 – 0.92
Assists/game0.53 0.56 0.5 – 0.62
Saves/game1.44 1.42 1.38 – 1.5
Shots/game3.03 2.77 2.69 – 2.89

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
Jimbo S26Master 0.780.591.5 0.81
Drizd. S23Challenger 0.780.561.34 0.82
ImSouperGreat S25Master 0.780.511.36 0.87
YOURDOOMED181 S17Challenger 0.920.51.58 0.88
cosmo6430 S25Rival 0.940.511.49 1.00
Melon S14Veteran 0.670.581.5 1.01
Cloudburst S24Elite 0.790.421.4 1.01
Luigi S24Premier 0.750.461.48 1.03
Solar S18Rival 0.880.621.38 1.04
Seth S23Elite 0.650.51.5 1.07

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.