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emovegan :P — CS2 Stats

76561199436293605[U:1:1476027877]

1,828Tracked matches60%Win rate2023Tracked since
CSDB Rating3.8 Learning
Premier CS Rating12,375Blue band · top ~42.3% of ranked players (population est.)
CSDB Leaderboard#6737 of 9550 tracked
FaceitLevel 4 · 1,072 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGemovegan :PFACEITLevel 4 · 1,072 ELOSTANDINGTop 81.0% of rankedPREMIER12,375 · Blue bandcsdb.gg/stats

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Performance scores

Aim37
Positioning24
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateLWWLWLWWWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim3.7
Aggression1.8
Utility6.0
Positioning2.4
Opening Duels0.0
Clutch3.4

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 71% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Reaction time. 651ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.7
Positioning2.4
Utility6.0
Mechanics4.3
Opening Duels0.0
Win Impact8.3

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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time647ms−29ms
first ⅓ avg 677ms → last ⅓ avg 647ms
Headshot accuracy12.5%−0.1%
first ⅓ avg 12.6% → last ⅓ avg 12.5%

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

0.18Best rating — inferno 8–0
13–2Biggest win — inferno
6Longest win streak
12–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 77% over 13infernoWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
nukeC219–1243%-0.02
mirageA1710–759%-0.04
infernoC156–940%-0.03
cacheC146–843%-0.04
dust2B136–746%-0.05
ancientS1310–377%-0.04
anubis—42–250%-0.06
overpass—21–150%-0.09
vertigo—11–0100%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

180Matches
49%Win rate
0.77Avg K/D
63.5ADR
38%Headshot %

Clutches & streaks

37%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5147%0.8511.9
Ancient3348%0.7513.4
Dust22952%0.7110.8
Inferno2536%0.7712.5
Nuke2564%0.7812.2
Anubis850%0.6311.4
Cache650%0.487.2
Overpass367%0.8820.0

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.

12.1%Headshot accuracy
35.0%Accuracy (enemy spotted)
37.8%Spray accuracy
69.5%Counter-strafing
13.5°Preaim
651msReaction time
24.4%T opening success
19.8%CT opening success
0.66Enemies flashed / flash
4.7%Flash assists
8.96HE damage / grenade
9.84Flashes / 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 13.5451° — 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 12.0612% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Inferno

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage0–13-0.0929%28 Aug →
inferno13–2-0.0314%28 Aug →
dust213–3-0.027%28 Aug →
nuke10–13-0.0112%28 Aug →
dust213–11-0.037%27 Aug →
nuke8–13-0.089%27 Aug →
cache13–7-0.039%27 Aug →
nuke13–70.0417%27 Aug →
ancient13–3-0.058%27 Aug →
inferno11–130.0313%25 Aug →
mirage13–11-0.0313%24 Aug →
ancient10–13-0.0620%24 Aug →
ancient13–4-0.0114%24 Aug →
anubis13–6-0.0618%24 Aug →
nuke13–2-0.070%24 Aug →
cache8–13-0.069%23 Aug →
overpass8–13-0.0916%22 Aug →
inferno9–7-0.0412%22 Aug →
inferno5–9-0.0514%22 Aug →
nuke13–90.0318%20 Aug →
ancient13–8-0.0210%20 Aug →
anubis9–13-0.074%20 Aug →
cache13–16-0.0313%20 Aug →
inferno9–13-0.099%20 Aug →
inferno9–70.0620%20 Aug →
nuke13–8-0.0213%17 Aug →
mirage13–7-0.0111%17 Aug →
dust213–7-0.0313%17 Aug →
ancient13–50.0110%17 Aug →
cache13–5-0.0315%17 Aug →
anubis2–13-0.0511%13 Aug →
nuke9–13-0.0413%13 Aug →
cache13–9-0.0016%13 Aug →
ancient13–60.0210%13 Aug →
dust212–12-0.057%13 Aug →
dust213–4-0.0813%10 Aug →
nuke5–13-0.0612%10 Aug →
cache15–15-0.0615%10 Aug →
inferno8–00.1812%10 Aug →
mirage13–11-0.0319%10 Aug →
mirage13–11-0.0320%10 Aug →
nuke13–8-0.059%6 Aug →
dust214–16-0.0816%6 Aug →
mirage15–15-0.059%6 Aug →
nuke13–11-0.056%6 Aug →
cache10–13-0.038%3 Aug →
nuke9–13-0.0310%3 Aug →
anubis13–6-0.0610%3 Aug →
dust213–7-0.0030%3 Aug →
nuke1–13-0.108%2 Aug →
inferno13–100.0113%2 Aug →
ancient13–11-0.0322%2 Aug →
mirage5–13-0.0520%2 Aug →
nuke9–13-0.0321%1 Aug →
vertigo13–7-0.0430%1 Aug →
nuke15–150.0518%1 Aug →
mirage15–15-0.0519%30 Jul →
cache13–5-0.0314%30 Jul →
nuke11–13-0.0315%30 Jul →
mirage3–13-0.098%30 Jul →
dust24–13-0.0921%30 Jul →
cache11–13-0.0111%28 Jul →
mirage13–2-0.0817%27 Jul →
ancient13–8-0.074%27 Jul →
mirage11–13-0.0613%27 Jul →
inferno1–13-0.0722%27 Jul →
cache13–9-0.0612%27 Jul →
overpass13–11-0.109%26 Jul →
ancient13–10-0.0517%23 Jul →
nuke13–100.008%23 Jul →
cache13–7-0.0319%23 Jul →
inferno6–13-0.0617%23 Jul →
ancient16–13-0.057%23 Jul →
nuke9–13-0.0116%20 Jul →
mirage13–9-0.029%20 Jul →
ancient16–14-0.0512%20 Jul →
cache14–16-0.0515%20 Jul →
nuke7–130.029%16 Jul →
dust213–50.0118%16 Jul →
mirage13–11-0.0210%16 Jul →
inferno10–13-0.0610%16 Jul →
ancient10–13-0.0711%16 Jul →
nuke13–110.0212%16 Jul →
inferno13–2-0.0319%16 Jul →
dust212–12-0.0415%16 Jul →
inferno4–13-0.078%15 Jul →
dust213–16-0.0316%15 Jul →
dust211–13-0.108%15 Jul →
mirage13–40.0328%14 Jul →
mirage13–9-0.0510%14 Jul →
dust27–13-0.0412%14 Jul →
inferno5–13-0.074%14 Jul →
mirage15–15-0.0515%13 Jul →
ancient9–13-0.1114%13 Jul →
mirage13–40.0216%13 Jul →
nuke13–4-0.0313%13 Jul →
cache5–13-0.0715%11 Jul →
nuke9–13-0.044%9 Jul →
inferno8–13-0.0715%9 Jul →
cache9–13-0.068%9 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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