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 Rival)

Stat	Per game	Total	Percentile in tier
Points	358.26	12181	63rd
Goals	0.79	27	54th
Assists	0.68	23	76th
Saves	1.09	37	19th
Shots	2.85	97	76th
Demos	0.82	28	34th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	358.26	#357 / 1215	#50 / 164
Goals	0.79	#407 / 1215	#62 / 164
Assists	0.68	#227 / 1215	#32 / 164
Saves	1.09	#698 / 1215	#110 / 164
Demos	0.82	#580 / 1215	#89 / 164

56% of the season is played (34 → ~60 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	12181	21496	21411	21255 – 21568
Goals	27	48	47	40 – 55
Assists	23	41	40	33 – 47
Saves	37	65	67	58 – 75
Shots	97	171	169	156 – 183
Demos	28	49	50	43 – 58
MVPs	5	9	9	6 – 12

From 31 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	377.8
Avg boost	50.3
Boost stolen / game	561.0
% time at 0 boost	10.2%
Avg speed (uu/s)	1519.4
% supersonic	13.3%
% time high in air	6.1%
Avg distance to ball	2932.5
% time attacking third	22.6%
Demos / game	0.7
Demos taken / game	0.9
Shooting %	29.0%

Beyond RSC - lifetime & other play

Source	Games	Record	Win %	Score/g
Lifetime (all)	232	96-96	50%	380
Non-RSC ranked 3v3	59	26-18	59%	322
Non-RSC other	173	70-78	47%	400

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	0.87	0.88	0.83 – 0.91
Assists/game	0.71	0.71	0.67 – 0.75
Saves/game	1.19	1.17	1.07 – 1.33
Shots/game	3.0	2.89	2.76 – 2.97

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.

Player	Season	Tier	Goals/g	Assists/g	Saves/g	Similarity
SayNova	S21	Veteran	0.88	0.76	1.12	0.59
Geherpaderp	S25	Master	0.91	0.7	1.3	0.65
scotti	S26	Elite	1.0	0.75	1.14	0.76
Glint	S26	Rival	0.89	0.68	1.18	0.77
Buck	S24	Elite	0.98	0.76	1.17	0.77
Kflip11	S24	Challenger	0.81	0.71	1.17	0.79
P0pfgf	S23	Veteran	0.73	0.75	1.18	0.80
Chase	S23	Rival	0.79	0.68	1.3	0.82
NotLuke9	S24	Veteran	0.91	0.68	1.38	0.83
GAVALANCHE	S18	Master	0.88	0.75	1.0	0.84

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.