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	350.95	7721	49th
Goals	0.82	18	58th
Assists	0.68	15	74th
Saves	1.05	23	13th
Shots	2.82	62	65th
Demos	1.0	22	49th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	350.95	#417 / 1215	#70 / 170
Goals	0.82	#369 / 1215	#57 / 170
Assists	0.68	#217 / 1215	#35 / 170
Saves	1.05	#726 / 1215	#118 / 170
Demos	1.0	#387 / 1215	#64 / 170

56% of the season is played (22 → ~39 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 (97 games across 2 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	7721	13687	13701	13701	13577 – 13825
Goals	18	32	32	33	26 – 38
Assists	15	27	26	26	21 – 31
Saves	23	41	42	43	35 – 49
Shots	62	110	109	111	98 – 120
Demos	22	39	39	38	33 – 46
MVPs	3	5	5	5	3 – 8

From 18 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	426.4
Avg boost	50.6
Boost stolen / game	626.5
% time at 0 boost	13.7%
Avg speed (uu/s)	1535.7
% supersonic	14.5%
% time high in air	6.4%
Avg distance to ball	2784.2
% time attacking third	24.1%
Demos / game	1.2
Demos taken / game	0.5
Shooting %	27.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S20	Challenger	7	0.57	0.29	1.14	451
S24	Rival	56	1.16	0.66	1.34	446
S25	Veteran	41	0.73	0.63	1.37	441
S26	Veteran	18	0.83	0.67	0.94	426

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	0.79 – 0.88
Assists/game	0.67	0.67	0.62 – 0.7
Saves/game	0.94	1.07	1.0 – 1.12
Shots/game	2.94	2.81	2.66 – 2.95

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
The-JDViirus	S26	Veteran	0.89	0.68	1.07	0.59
snugcore	S23	Elite	0.83	0.7	1.11	0.72
Rzemb1e	S24	Master	0.85	0.67	1.18	0.82
Frenchy	S20	Master	0.83	0.67	1.0	0.89
KamdenRL	S23	Veteran	0.82	0.57	0.96	0.92
snugcore	S24	Elite	0.73	0.61	1.11	0.98
kRs^^	S20	Elite	0.8	0.8	0.9	1.07
JmE	S20	Challenger	0.88	0.62	1.0	1.10
Calc	S20	Master	0.83	0.58	1.17	1.13
GreenSleeves	S18	Premier	0.88	0.75	1.0	1.16

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.