ChefHoffy

Rival - Lightning - 19-17 (0.528)
53 OVR
overall rating (0–100) · 36 games · how is this calculated?
Overall rating 53/100 Tier dominance: 60th (+0.2 SD) Projects as: Rival Role: 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
6
17% of games
Shot %
30%

Per-game production (percentile within Rival)

StatPer gameTotalPercentile in tier
Points 355.17 12786
61st
Goals 0.78 28
52nd
Assists 0.61 22
66th
Saves 1.36 49
53rd
Shots 2.64 95
57th
Demos 1.33 48
77th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Rival
Points355.17 #379 / 1215 #53 / 164
Goals0.78 #426 / 1215 #64 / 164
Assists0.61 #318 / 1215 #43 / 164
Saves1.36 #403 / 1215 #62 / 164
Demos1.33 #203 / 1215 #30 / 164

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 (218 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 12786 22731 22660 22660 22497 – 22822
Goals 28 50 50 50 42 – 57
Assists 22 39 39 38 32 – 45
Saves 49 87 87 86 77 – 97
Shots 95 169 168 169 154 – 182
Demos 48 85 84 83 74 – 94
MVPs 6 11 11 11 7 – 14

Advanced stats (ballchasing)

Advanced OVR 51 /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 409.1
Avg boost 48.3
Boost stolen / game 481.5
% time at 0 boost 11.8%
Avg speed (uu/s) 1482.3
% supersonic 11.8%
% time high in air 4.4%
Avg distance to ball 3069.2
% time attacking third 20.6%
Demos / game 1.3
Demos taken / game 1.0
Shooting % 27.2%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S22Challenger35 0.770.541.0 353
S23Rival54 0.830.481.26 354
S24Rival65 0.850.421.11 362
S25Rival64 0.830.581.19 377
S26Rival32 0.720.661.5 409

Beyond RSC - lifetime & other play

External skill estimate: ~65 OVR Medium confidence — inferred from 99 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 53.
SourceGames RecordWin % Score/g
Lifetime (all)2065963-634 60% 354
RSC (official)31-2 33% 244
Non-RSC ranked 3v39936-39 48% 329
Non-RSC other1963926-593 61% 355

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/game0.72 0.81 0.69 – 0.85
Assists/game0.66 0.62 0.6 – 0.68
Saves/game1.5 1.45 1.35 – 1.5
Shots/game2.62 2.57 2.35 – 2.65

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
Wavy S23Rival 0.810.61.23 0.91
tman S26Master 0.560.691.56 0.95
rozi- S24Elite 0.880.771.58 0.98
Ghostie S26Rival 0.690.551.55 1.00
buxter S23Elite 0.850.661.44 1.02
Schmeemeet S26Challenger 0.610.681.71 1.03
dyl S22Challenger 0.860.691.49 1.05
Donkeh . S26Rival 0.70.591.22 1.08
Tartan S23Premier 0.750.691.5 1.08
tokyo. S26Premier 0.750.621.58 1.08

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.