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	455.66	14581	90th
Goals	1.16	37	90th
Assists	0.75	24	77th
Saves	1.47	47	52nd
Shots	3.06	98	75th
Demos	1.75	56	79th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Premier
Points	455.66	#16 / 1213	#5 / 73
Goals	1.16	#68 / 1213	#5 / 73
Assists	0.75	#119 / 1213	#8 / 73
Saves	1.47	#291 / 1213	#25 / 73
Demos	1.75	#80 / 1213	#10 / 73

64% of the season is played (32 → ~50 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	14581	22783	22448	22312 – 22585
Goals	37	58	56	50 – 63
Assists	24	38	37	31 – 42
Saves	47	73	73	65 – 81
Shots	98	153	152	141 – 163
Demos	56	88	86	77 – 94
MVPs	10	16	15	12 – 19

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	447.4
Avg boost	48.9
Boost stolen / game	657.4
% time at 0 boost	12.2%
Avg speed (uu/s)	1685.4
% supersonic	24.0%
% time high in air	7.6%
Avg distance to ball	2763.0
% time attacking third	21.1%
Demos / game	1.8
Demos taken / game	0.9
Shooting %	35.9%

Beyond RSC - lifetime & other play

Source	Games	Record	Win %	Score/g
Lifetime (all)	117	47-39	55%	455
Non-RSC ranked 3v3	18	12-6	67%	387
Non-RSC other	99	35-33	51%	467

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	1.16	0.91	0.82 – 1.0
Assists/game	0.75	0.7	0.59 – 0.77
Saves/game	1.47	1.47	1.3 – 1.55
Shots/game	3.06	2.98	2.91 – 3.19

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
yovanny	S25	Veteran	1.0	0.86	1.34	1.21
Light_Wigglebean	S24	Elite	1.04	0.86	1.31	1.69
wicked	S19	Elite	0.92	0.54	1.54	1.71
Colinn	S25	Elite	1.02	0.57	1.48	1.71
Lil Windex	S23	Elite	0.82	0.76	1.47	1.73
Jolt	S24	Elite	0.88	0.75	1.57	1.74
Argnor	S23	Master	0.85	0.66	1.1	1.94
spuf.	S22	Master	0.98	0.68	1.49	1.95
Chadley	S26	Master	1.04	0.75	1.36	1.95
NukeTech96	S22	Veteran	0.86	0.82	1.11	1.98

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.