Gamemetrician

Gamemetrician — CS2 Stats

76561198024407855[U:1:64142127]Steam profile ↗✓ No bans

2,858Tracked matches38%Win rate2020Tracked since
CSDB Rating3.8 Learning
Premier CS Rating14,325Blue band · top ~32% of ranked players (population est.)
CSDB Leaderboard#22645 of 35415 tracked
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGGamemetricianFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER14,325 · Blue bandcsdb.gg/stats

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Performance scores

Aim43
Positioning31
Utility67

0–100 skill scores via Leetify.

Recent form

COLD50455Last 10050%Win rateLLLLLLWLWL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim4.3
Aggression1.8
Utility6.7
Positioning3.1
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 41% on CT to 12% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 642ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim4.3
Positioning3.1
Utility6.7
Mechanics5.9
Opening Duels1.4
Win Impact1.0

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time647ms−41ms
first ⅓ avg 689ms → last ⅓ avg 647ms
Headshot accuracy9.5%−2.1%
first ⅓ avg 11.6% → last ⅓ avg 9.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.10Best rating — inferno 13–6
131Biggest win — nuke
5Longest win streak
L6Current streak
84In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 63% over 8nukeWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
ancientB21101148%-0.02
mirageA2112957%-0.01
dust2A1810856%-0.01
nukeC1661038%-0.02
infernoB136746%0.00
cacheA85363%-0.01
anubis21150%-0.02
overpass1010%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

246Matches
46%Win rate
0.90Avg K/D
ADR
25%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.6%Headshot accuracy
35.6%Accuracy (enemy spotted)
38.3%Spray accuracy
76.4%Counter-strafing
12.8°Preaim
642msReaction time
11.8%T opening success
40.9%CT opening success
0.57Enemies flashed / flash
9.5%Flash assists
12.32HE damage / grenade
14.17Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8171° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.6362% — below the 15% mark we flag

    Aim Training
Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.0811%29 Aug
anubis7–13-0.029%29 Aug
nuke8–13-0.0015%28 Aug
nuke10–13-0.0912%28 Aug
dust211–13-0.034%28 Aug
nuke7–13-0.098%26 Aug
cache13–80.086%26 Aug
ancient10–130.0210%25 Aug
nuke13–60.017%25 Aug
nuke7–13-0.0512%24 Aug
mirage16–130.0316%24 Aug
ancient13–100.044%23 Aug
mirage13–90.066%22 Aug
dust213–11-0.035%22 Aug
dust24–130.029%22 Aug
mirage7–13-0.075%22 Aug
inferno8–130.0021%20 Aug
ancient9–13-0.0319%20 Aug
dust215–15-0.019%20 Aug
mirage10–13-0.048%19 Aug
cache3–13-0.0410%18 Aug
nuke9–13-0.049%17 Aug
dust26–13-0.0512%16 Aug
inferno10–13-0.090%16 Aug
ancient13–50.0113%15 Aug
ancient13–6-0.017%15 Aug
mirage13–10-0.068%15 Aug
ancient13–50.058%15 Aug
mirage13–2-0.0312%14 Aug
nuke10–13-0.0813%14 Aug
cache10–13-0.046%10 Aug
dust28–130.0115%10 Aug
cache13–9-0.075%10 Aug
mirage15–15-0.0214%9 Aug
inferno9–13-0.0811%8 Aug
nuke13–6-0.0111%8 Aug
nuke12–160.0512%8 Aug
inferno13–70.0311%7 Aug
cache13–8-0.0215%7 Aug
ancient13–7-0.012%6 Aug
nuke13–11-0.0010%6 Aug
dust29–13-0.0211%5 Aug
dust21–13-0.053%5 Aug
dust213–70.0116%5 Aug
ancient13–5-0.0615%5 Aug
nuke13–11-0.0112%5 Aug
cache13–100.087%4 Aug
dust213–4-0.028%3 Aug
ancient8–13-0.065%3 Aug
dust213–11-0.072%3 Aug
dust213–110.0023%2 Aug
nuke13–7-0.042%2 Aug
inferno13–60.1015%2 Aug
mirage8–13-0.099%1 Aug
mirage13–100.017%1 Aug
mirage11–13-0.007%1 Aug
cache9–13-0.0313%1 Aug
dust213–8-0.0011%1 Aug
mirage13–50.0310%31 Jul
mirage10–13-0.068%30 Jul
dust213–7-0.0223%29 Jul
mirage16–14-0.0111%29 Jul
inferno8–10.019%29 Jul
ancient13–16-0.0310%28 Jul
cache13–4-0.0712%28 Jul
mirage13–90.049%27 Jul
inferno6–13-0.079%27 Jul
inferno7–130.0311%27 Jul
inferno9–13-0.0222%27 Jul
inferno13–11-0.0312%26 Jul
dust213–80.0115%26 Jul
ancient13–110.0413%25 Jul
nuke9–130.0313%25 Jul
ancient13–7-0.0415%25 Jul
ancient15–150.037%19 Jul
mirage14–160.0013%20 Jun
nuke13–10.037%20 Jun
inferno9–130.0110%19 Jun
overpass10–13-0.0513%19 Jun
mirage13–80.0912%19 Jun
anubis13–9-0.0212%14 Jun
mirage16–13-0.0210%14 Jun
ancient8–13-0.1013%25 May
dust213–5-0.0020%25 May
ancient15–15-0.036%23 May
ancient6–13-0.0618%22 May
mirage10–13-0.0611%22 May
dust215–150.039%22 May
inferno13–60.0610%21 May
ancient10–13-0.078%21 May
ancient13–6-0.0416%10 May
dust213–70.028%10 May
nuke11–13-0.0316%10 May
nuke9–13-0.023%3 May
mirage13–5-0.019%2 May
mirage8–130.013%2 May
mirage13–80.0110%30 Apr
inferno13–100.049%30 Apr
ancient13–80.0220%26 Apr
ancient5–130.0410%26 Apr

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →