spuf.

Premier - FA - 4-4 (0.500)
98 OVR
overall rating (0–100) · 8 games · how is this calculated?
Overall rating 98/100 Tier dominance: 68th (+0.1 SD) Projects as: Premier Role: Anchor
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
25% of games
Shot %
33%

Per-game production (percentile within Premier)

StatPer gameTotalPercentile in tier
Points 406.75 3254
79th
Goals 0.88 7
67th
Assists 0.62 5
56th
Saves 1.88 15
88th
Shots 2.62 21
52nd
Demos 1.62 13
73rd

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Premier
Points406.75 #106 / 1213 #11 / 73
Goals0.88 #286 / 1213 #16 / 73
Assists0.62 #293 / 1213 #21 / 73
Saves1.88 #51 / 1213 #6 / 73
Demos1.62 #111 / 1213 #14 / 73

Season projection

Low confidence

64% of the season is played (8 → ~12 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 (154 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 3254 4881 4793 4793 4737 – 4849
Goals 7 10 10 10 8 – 13
Assists 5 8 7 7 5 – 10
Saves 15 22 22 22 18 – 25
Shots 21 32 32 32 27 – 36
Demos 13 20 19 19 15 – 22
MVPs 2 3 3 3 2 – 4

Advanced stats (ballchasing)

From 8 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min 442.7
Avg boost 52.1
Boost stolen / game 521.0
% time at 0 boost 11.3%
Avg speed (uu/s) 1592.5
% supersonic 20.2%
% time high in air 6.4%
Avg distance to ball 2803.0
% time attacking third 18.0%
Demos / game 1.6
Demos taken / game 1.2
Shooting % 33.6%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S21Master15 0.730.471.87 460
S22Master47 0.980.681.49 457
S23Master40 0.550.551.3 434
S24Master52 0.790.581.44 466
S26Premier8 0.880.621.88 443

Beyond RSC - lifetime & other play

External skill estimate: ~95 OVR High confidence — inferred from 134 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 98.
SourceGames RecordWin % Score/g
Lifetime (all)24951003-946 51% 376
RSC (official)167-2 78% 344
Non-RSC ranked 3v313447-59 44% 378
Non-RSC other2345949-885 52% 376

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

Medium 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/game0.88 0.79 0.73 – 0.91
Assists/game0.62 0.58 0.5 – 0.66
Saves/game1.88 1.75 1.56 – 1.89
Shots/game2.62 2.62 2.49 – 2.68

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
Reeves S25Premier 0.80.581.76 1.28
Colinn S26Elite 0.960.811.96 1.31
Krueger0216 S17Elite 0.750.751.94 1.31
DarkOnDisplayRW7 S26Rival 0.810.591.69 1.44
Dokreo S26Veteran 0.660.751.84 1.48
donald. S23Elite 0.890.461.64 1.49
Oibu S24Premier 0.910.61.89 1.54
Paz lol S25Elite 0.680.681.79 1.59
SmithRL. S25Elite 0.930.561.72 1.61
spuf. S21Master 0.730.471.87 1.63

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.