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 Master)

Stat	Per game	Total	Percentile in tier
Points	312.0	3432	18th
Goals	0.64	7	35th
Assists	0.36	4	19th
Saves	1.09	12	23rd
Shots	2.36	26	35th
Demos	0.73	8	14th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Master
Points	312.0	#688 / 1215	#64 / 107
Goals	0.64	#644 / 1215	#51 / 107
Assists	0.36	#785 / 1215	#63 / 107
Saves	1.09	#691 / 1215	#60 / 107
Demos	0.73	#658 / 1215	#66 / 107

60% of the season is played (11 → ~18 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 (60 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	3432	5616	5726	5726	5654 – 5798
Goals	7	11	12	12	8 – 15
Assists	4	7	7	8	4 – 10
Saves	12	20	20	21	16 – 25
Shots	26	43	43	42	37 – 49
Demos	8	13	14	13	11 – 18
MVPs	2	3	3	3	2 – 5

From 11 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	390.9
Avg boost	47.9
Boost stolen / game	445.0
% time at 0 boost	15.4%
Avg speed (uu/s)	1561.4
% supersonic	17.6%
% time high in air	6.1%
Avg distance to ball	3033.4
% time attacking third	20.8%
Demos / game	0.7
Demos taken / game	1.0
Shooting %	26.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Elite	60	0.83	0.88	1.57	392
S26	Master	11	0.64	0.36	1.09	391

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	0.64	0.63	0.58 – 0.7
Assists/game	0.36	0.4	0.36 – 0.47
Saves/game	1.09	1.16	1.07 – 1.25
Shots/game	2.36	2.42	2.28 – 2.57

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
daysil	S26	Elite	0.69	0.38	1.28	0.85
Justin	S25	Elite	0.69	0.45	1.33	0.91
Captain_CleanRL	S20	Master	0.6	0.4	1.07	0.92
Reverse Fridge	S22	Veteran	0.78	0.26	1.04	1.03
Doty	S22	Veteran	0.71	0.48	1.19	1.04
T.	S26	Premier	0.65	0.5	1.15	1.05
bradyK-	S24	Elite	0.67	0.56	1.28	1.11
bayylock	S25	Veteran	0.7	0.46	1.07	1.12
AlteredSp4rky	S24	Rival	0.63	0.39	1.08	1.13
FrostyBrew	S25	Elite	0.46	0.42	1.0	1.17

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.