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.

Per-game production (percentile within Veteran)

Stat	Per game	Total	Percentile in tier
Points	305.25	2442	10th
Goals	0.25	2	3rd
Assists	0.25	2	3rd
Saves	1.38	11	46th
Shots	2.12	17	18th
Demos	1.38	11	75th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	305.25	#727 / 1215	#122 / 170
Goals	0.25	#907 / 1215	#128 / 170
Assists	0.25	#878 / 1215	#131 / 170
Saves	1.38	#385 / 1215	#69 / 170
Demos	1.38	#184 / 1215	#31 / 170

56% of the season is played (8 → ~14 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 (12 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	2442	4274	4420	4420	4353 – 4487
Goals	2	4	5	6	2 – 8
Assists	2	4	4	4	2 – 7
Saves	11	19	19	20	15 – 24
Shots	17	30	31	31	26 – 37
Demos	11	19	18	18	14 – 22
MVPs	0	0	0	0	0 – 1

Advanced stats (ballchasing)

No ballchasing replay data for this player. Advanced stats (boost, speed, positioning, demos) only exist for the ~37% of players whose matches/scrims were uploaded to ballchasing - coverage depends on who uploads, not on the player.

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S13	Veteran	7	1.71	0.71	1.57	418
S14	Elite	7	1.14	0.57	1.14	405
S17	Elite	12	0.83	0.42	1.5	399
S18	Elite	7	0.86	0.57	1.57	415
S24	Elite	2	0.5	0.0	0.5	389

Historical analysis - data: Official · All seasons (change in the nav)

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.

Stat	This season	Comparables median	Typical range
Goals/game	0.83	0.83	0.77 – 0.88
Assists/game	0.42	0.45	0.4 – 0.5
Saves/game	1.5	1.5	1.45 – 1.58
Shots/game	2.58	2.56	2.4 – 2.69

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.

Player	Season	Tier	Goals/g	Assists/g	Saves/g	Similarity
Rock_Sause	S25	Elite	0.77	0.45	1.67	0.69
SlimmySlimReaper	S23	Rival	0.8	0.39	1.55	0.77
Cognitixn	S24	Veteran	0.71	0.34	1.42	0.81
SniperWarrior007	S18	Challenger	0.88	0.5	1.62	0.83
Its_Lost	S23	Challenger	0.75	0.38	1.38	0.91
Danub	S25	Rival	0.76	0.53	1.53	0.93
AS-17.	S23	Challenger	0.91	0.3	1.52	0.94
Rmuru-	S19	Challenger	0.65	0.47	1.53	0.95
Gray	S26	Elite	0.94	0.52	1.52	0.98
spite	S25	Challenger	0.85	0.49	1.58	0.98

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

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Data source: live (rscna.com) - standings & schedule refresh hourly.