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 Premier)

Stat	Per game	Total	Percentile in tier
Points	384.75	9234	67th
Goals	0.75	18	46th
Assists	0.62	15	56th
Saves	1.58	38	67th
Shots	2.62	63	52nd
Demos	1.46	35	69th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Premier
Points	384.75	#192 / 1213	#17 / 73
Goals	0.75	#443 / 1213	#22 / 73
Assists	0.62	#293 / 1213	#21 / 73
Saves	1.58	#183 / 1213	#16 / 73
Demos	1.46	#160 / 1213	#16 / 73

64% of the season is played (24 → ~37 games). Projected (this season) blends the current rate with the tier average (regression to the mean). . Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	80% range
Points	9234	14236	14164	14058 – 14271
Goals	18	28	28	23 – 33
Assists	15	23	23	19 – 27
Saves	38	59	58	51 – 65
Shots	63	97	98	89 – 106
Demos	35	54	53	47 – 60
MVPs	4	6	6	4 – 8

From 24 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	390.2
Avg boost	49.8
Boost stolen / game	600.1
% time at 0 boost	9.4%
Avg speed (uu/s)	1513.4
% supersonic	13.9%
% time high in air	6.1%
Avg distance to ball	2641.3
% time attacking third	22.0%
Demos / game	1.5
Demos taken / game	1.6
Shooting %	26.8%

Beyond RSC - lifetime & other play

Source	Games	Record	Win %	Score/g
Lifetime (all)	330	131-146	47%	426
RSC (official)	2	0-2	0%	470
Non-RSC ranked 3v3	71	31-27	53%	349
Non-RSC other	257	100-117	46%	447

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)

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	0.75	0.75	0.72 – 0.83
Assists/game	0.62	0.61	0.56 – 0.66
Saves/game	1.58	1.53	1.4 – 1.6
Shots/game	2.62	2.57	2.4 – 2.64

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
MagesticEagle1	S25	Rival	0.84	0.55	1.59	0.65
Akuma	S26	Veteran	0.65	0.6	1.5	0.74
Lucas	S23	Rival	0.77	0.6	1.53	0.85
S_ckz	S25	Elite	0.8	0.6	1.78	0.87
jay	S24	Premier	0.83	0.67	1.71	0.87
Benny!	S24	Veteran	0.82	0.5	1.73	0.88
Leonis	S20	Premier	0.85	0.65	1.45	0.89
M0NKEE .	S24	Veteran	0.75	0.65	1.4	0.93
Laser	S21	Master	0.82	0.61	1.57	0.95
johkev	S24	Challenger	0.85	0.62	1.47	0.96

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.