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 Challenger)

Stat	Per game	Total	Percentile in tier
Points	353.81	9553	64th
Goals	1.0	27	77th
Assists	0.26	7	8th
Saves	1.15	31	29th
Shots	2.74	74	70th
Demos	1.78	48	94th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	353.81	#389 / 1215	#48 / 166
Goals	1.0	#132 / 1215	#22 / 166
Assists	0.26	#875 / 1215	#122 / 166
Saves	1.15	#634 / 1215	#94 / 166
Demos	1.78	#70 / 1215	#8 / 166

60% of the season is played (27 → ~45 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	9553	15922	15870	15870	15745 – 15996
Goals	27	45	44	44	38 – 51
Assists	7	12	13	14	9 – 17
Saves	31	52	52	53	45 – 60
Shots	74	123	122	121	111 – 133
Demos	48	80	77	76	68 – 85
MVPs	4	7	7	7	4 – 9

From 23 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	386.5
Avg boost	52.6
Boost stolen / game	521.4
% time at 0 boost	9.7%
Avg speed (uu/s)	1574.6
% supersonic	15.2%
% time high in air	4.8%
Avg distance to ball	2996.0
% time attacking third	20.8%
Demos / game	1.8
Demos taken / game	0.6
Shooting %	41.4%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Challenger	60	0.77	0.6	1.4	388
S26	Challenger	23	1.04	0.26	1.17	386

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	1.04	0.98	0.89 – 1.06
Assists/game	0.26	0.38	0.33 – 0.43
Saves/game	1.17	1.19	1.1 – 1.35
Shots/game	2.74	2.58	2.47 – 2.86

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
AveX InceptionZ	S23	Challenger	1.07	0.43	1.22	0.95
MyTyranosaur	S26	Veteran	1.0	0.33	1.5	1.38
Array	S20	Prospect	0.88	0.38	1.1	1.41
Mimetic	S23	Veteran	0.86	0.37	1.18	1.43
Slayerof666	S24	Rival	1.0	0.38	0.92	1.43
Froz3nSlack5r	S20	Contender	1.06	0.38	1.38	1.44
Beni Lava	S13	Prospect	1.0	0.12	1.38	1.46
christophr	S21	Premier	1.0	0.4	0.9	1.47
AveX InceptionZ	S20	Prospect	1.09	0.43	1.07	1.47
branthedan	S23	Challenger	0.98	0.52	1.21	1.50

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.