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 Prospect)

Stat	Per game	Total	Percentile in tier
Points	277.77	8333	18th
Goals	0.5	15	14th
Assists	0.37	11	19th
Saves	1.4	42	72nd
Shots	2.07	62	26th
Demos	1.07	32	68th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	277.77	#833 / 1215	#109 / 161
Goals	0.5	#791 / 1215	#110 / 161
Assists	0.37	#783 / 1215	#108 / 161
Saves	1.4	#355 / 1215	#36 / 161
Demos	1.07	#351 / 1215	#41 / 161

60% of the season is played (30 → ~50 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 (41 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	8333	13888	14111	14111	13990 – 14231
Goals	15	25	26	26	21 – 31
Assists	11	18	19	19	15 – 24
Saves	42	70	69	68	61 – 77
Shots	62	103	105	105	94 – 115
Demos	32	53	53	52	46 – 60
MVPs	2	3	4	4	2 – 6

From 28 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	366.3
Avg boost	53.5
Boost stolen / game	333.6
% time at 0 boost	11.6%
Avg speed (uu/s)	1452.2
% supersonic	11.2%
% time high in air	3.3%
Avg distance to ball	3164.5
% time attacking third	15.5%
Demos / game	1.1
Demos taken / game	1.0
Shooting %	25.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Prospect	41	0.71	0.42	1.1	367
S26	Prospect	28	0.5	0.36	1.5	366

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	0.5	0.5	0.44 – 0.6
Assists/game	0.36	0.38	0.33 – 0.42
Saves/game	1.5	1.49	1.38 – 1.56
Shots/game	2.11	1.96	1.8 – 2.19

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
mogulmaniac5480	S24	Veteran	0.42	0.38	1.5	0.85
Pana	S22	Veteran	0.35	0.35	1.65	0.99
st3althyninja1	S25	Challenger	0.56	0.46	1.49	1.06
Evil Gooby	S22	Veteran	0.45	0.31	1.56	1.08
T_i_m_o_g	S18	Amateur	0.37	0.34	1.49	1.15
Chronicle	S24	Challenger	0.48	0.37	1.78	1.20
I_am.Dan	S26	Prospect	0.5	0.43	1.57	1.20
Pokeninja77	S17	Prospect	0.42	0.32	1.47	1.22
superstrikzz	S21	Contender	0.75	0.38	1.38	1.26
Salty Num Num	S25	Contender	0.64	0.36	1.41	1.28

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.