Goose

Rival - Genasi - 8-14 (0.364)
46 OVR
overall rating (0–100) · 22 games · how is this calculated?
Overall rating 46/100 Tier dominance: 14th (-1.1 SD) Projects as: Rival Role: Role player
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
2
9% of games
Shot %
37%

Per-game production (percentile within Rival)

StatPer gameTotalPercentile in tier
Points 293.41 6455
13th
Goals 0.59 13
27th
Assists 0.27 6
11th
Saves 1.18 26
30th
Shots 1.59 35
6th
Demos 1.23 27
73rd

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Rival
Points293.41 #788 / 1215 #117 / 164
Goals0.59 #713 / 1215 #99 / 164
Assists0.27 #870 / 1215 #120 / 164
Saves1.18 #590 / 1215 #93 / 164
Demos1.23 #254 / 1215 #36 / 164

Season projection

Medium confidence

56% of the season is played (22 → ~39 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 (115 games across 5 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 6455 11443 11660 11660 11544 – 11775
Goals 13 23 24 24 18 – 29
Assists 6 11 12 12 8 – 16
Saves 26 46 47 45 40 – 54
Shots 35 62 66 67 57 – 75
Demos 27 48 47 51 40 – 54
MVPs 2 4 4 4 2 – 6

Advanced stats (ballchasing)

Advanced OVR 19 /100

From 22 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 337.5
Avg boost 47.8
Boost stolen / game 416.8
% time at 0 boost 12.1%
Avg speed (uu/s) 1465.1
% supersonic 9.5%
% time high in air 3.9%
Avg distance to ball 3173.1
% time attacking third 20.3%
Demos / game 1.2
Demos taken / game 1.3
Shooting % 34.6%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Veteran20 1.10.80.8 373
S21Veteran6 0.330.52.0 361
S22Rival12 0.750.751.17 377
S23Veteran23 0.650.480.96 371
S24Veteran48 0.770.461.12 356
S25Veteran12 0.170.251.33 352
S26Rival22 0.590.271.18 338

Beyond RSC - lifetime & other play

External skill estimate: ~42 OVR High confidence — inferred from 106 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 46.
SourceGames RecordWin % Score/g
Lifetime (all)47011914-1970 49% 309
RSC (official)2812-12 50% 323
Non-RSC ranked 3v310646-41 53% 293
Non-RSC other45671856-1917 49% 309

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/game0.59 0.55 0.5 – 0.61
Assists/game0.27 0.36 0.3 – 0.39
Saves/game1.18 1.16 1.09 – 1.26
Shots/game1.59 1.83 1.73 – 1.97

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
Smitty S24Challenger 0.560.281.16 0.77
Metatonixz S21Veteran 0.540.311.15 0.79
courtesan S24Rival 0.620.231.0 0.93
Jarrod81535 S26Challenger 0.550.211.03 0.98
Spoilt S13Veteran 0.550.271.09 1.00
Napkhan S24Rival 0.520.391.26 1.04
LilBoneSamaTTV S22Challenger 0.590.381.28 1.05
Reccos007 S14Rival 0.420.251.17 1.07
King S20Rival 0.580.251.42 1.10
StruttRL S26Prospect 0.580.351.12 1.15

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.