TechFour

Challenger - Spearmint - 11-6 (0.647)
👤 Career - also played as t4, Jacobim Mugatu
40 OVR
overall rating (0–100) · 17 games · how is this calculated?
Overall rating 40/100 Tier dominance: 65th (+0.2 SD) Projects as: Challenger Role: Playmaker / Anchor
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.

MVPs
4
24% of games
Shot %
33%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 343.82 5845
54th
Goals 0.65 11
34th
Assists 0.71 12
83rd
Saves 1.47 25
74th
Shots 1.94 33
8th
Demos 1.06 18
64th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points343.82 #468 / 1215 #61 / 166
Goals0.65 #635 / 1215 #88 / 166
Assists0.71 #182 / 1215 #22 / 166
Saves1.47 #296 / 1215 #35 / 166
Demos1.06 #361 / 1215 #48 / 166

Season projection

Low confidence

60% of the season is played (17 → ~28 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 (175 games across 6 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 5845 9627 9618 9618 9524 – 9713
Goals 11 18 19 18 14 – 23
Assists 12 20 19 19 15 – 23
Saves 25 41 41 40 34 – 47
Shots 33 54 56 56 49 – 64
Demos 18 30 29 28 24 – 35
MVPs 4 7 6 6 4 – 9

Advanced stats (ballchasing)

Advanced OVR 43 /100

From 13 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 328.1
Avg boost 50.1
Boost stolen / game 502.8
% time at 0 boost 13.3%
Avg speed (uu/s) 1464.4
% supersonic 8.6%
% time high in air 3.5%
Avg distance to ball 3114.7
% time attacking third 23.4%
Demos / game 1.2
Demos taken / game 0.6
Shooting % 27.5%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Challenger14 0.710.571.5 322
S21Challenger20 0.550.51.1 303
S22Challenger19 0.950.741.47 322
S23Rival46 0.50.51.63 295
S24Rival31 1.030.390.81 306
S25Challenger45 0.560.360.84 309
S26Challenger13 0.620.621.62 328

Beyond RSC - lifetime & other play

External skill estimate: ~47 OVR High confidence — inferred from 1465 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 40.
SourceGames RecordWin % Score/g
Lifetime (all)109284135-4668 47% 331
RSC (official)229-12 43% 361
Non-RSC ranked 3v31465534-581 48% 300
Non-RSC other94413592-4075 47% 336

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)

Comparable-based outlook

High confidence

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.

StatThis seasonComparables medianTypical range
Goals/game0.61 0.64 0.53 – 0.7
Assists/game0.61 0.54 0.5 – 0.6
Saves/game1.61 1.5 1.4 – 1.6
Shots/game1.77 2.15 2.0 – 2.23

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.

PlayerSeasonTierGoals/gAssists/gSaves/gSimilarity
Arbartenn S18Veteran 0.750.621.5 1.34
blindvisionary S13Challenger 0.50.51.33 1.35
TechFour S20Challenger 0.710.571.5 1.35
Napkhan S23Challenger 0.620.541.4 1.44
SludgeMixFuzz S26Prospect 0.470.531.4 1.44
RyanAwesome_ S20Veteran 0.50.811.44 1.44
Evelynnx S24Veteran 0.670.561.56 1.45
BuckNekkid15 S18Challenger 0.90.51.6 1.47
bovi S24Rival 0.750.481.61 1.47
WRIITZY S13Rival 0.750.51.62 1.51

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.