evat'fer

evat'fer — CS2 Stats

76561199854284075[U:1:1894018347]Steam profile ↗✓ No bans

631Tracked matches38%Win rate2025Tracked since
CSDB Rating2.5 LearningSupport
WingmanSilver II
Ladder ranks via Leetify

Performance scores

Aim31
Positioning28
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY42–51–7Last 10042%Win rateWLLLWLWLWW

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · −4.9pp headshot accuracy · +30ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 10%
  • Avg reaction 670ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 11%
  • Avg reaction 703ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 688ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+0.9 against its own average).

Aim3.1
Utility2.8
Positioning2.8
Opening Duels0.0

Limited utility dependence

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 673ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim3.1
Positioning2.8
Utility2.8
Mechanics3.0
Opening Duels0.2
Win Impact1.0

Composite 2.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06−0.00
first ⅓ avg -0.05 → last ⅓ avg -0.06
Reaction time678ms−3ms
first ⅓ avg 680ms → last ⅓ avg 678ms
Headshot accuracy12.8%−4.0%
first ⅓ avg 16.8% → last ⅓ avg 12.8%

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.

Personal bests

0.07Best match rating · 13–3 · nuke, 5 Oct →
75%Best headshot accuracy · 4–0 · nuke, 31 Aug →
359msFastest reaction time · 4–0 · nuke, 31 Aug →
13–0Biggest win · mirage, 13 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–6In matches decided by ≤2 rounds

Map breakdown

trainBest map · 60% over 5dust2Weakest map · 19% over 21
MapGradePlayedRecordWin rateAvg rating
dust2D214–1719%-0.05
vertigoB1910–953%-0.04
nukeB126–650%-0.05
mirageA127–558%-0.06
cacheB115–645%-0.07
anubisD82–625%-0.04
infernoC73–443%-0.08
trainA53–260%-0.04
overpass—21–150%-0.09
office—21–150%-0.06
poseidon—10–10%-0.29

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (19% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

12.6%Headshot accuracy
31.6%Accuracy (enemy spotted)
31.8%Spray accuracy
63.4%Counter-strafing
10.5°Preaim
673msReaction time
31.9%T opening success
28.0%CT opening success
0.64Enemies flashed / flash
3.3%Flash assists
3.32HE damage / grenade
3.72Flashes / 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. 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 12.6095% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.7158 — below the 4 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 31.8892% — below the 40% mark we flag

Spend your practice time on Dust 2

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

19% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–5-0.0312%1 Nov →
dust25–13-0.085%1 Nov →
vertigo8–13-0.109%1 Nov →
overpass7–13-0.1418%18 Oct →
nuke13–9-0.066%18 Oct →
cache5–13-0.1313%18 Oct →
vertigo13–6-0.0417%18 Oct →
nuke5–13-0.094%12 Oct →
dust213–11-0.0211%12 Oct →
train13–3-0.0512%12 Oct →
cache13–3-0.0631%12 Oct →
nuke10–13-0.0613%12 Oct →
mirage13–3-0.050%11 Oct →
vertigo4–13-0.0619%11 Oct →
nuke11–13-0.1011%11 Oct →
nuke13–30.0725%5 Oct →
vertigo13–9-0.008%5 Oct →
dust23–130.0215%4 Oct →
dust210–13-0.0319%4 Oct →
nuke10–13-0.0513%28 Sept →
vertigo7–13-0.0814%28 Sept →
vertigo6–10.0529%28 Sept →
vertigo7–13-0.0313%27 Sept →
vertigo4–13-0.0816%27 Sept →
mirage9–13-0.1013%21 Sept →
dust25–13-0.1010%20 Sept →
anubis12–12-0.057%20 Sept →
dust211–13-0.0812%14 Sept →
dust29–13-0.0811%13 Sept →
mirage13–00.019%13 Sept →
mirage13–8-0.0811%7 Sept →
dust25–13-0.0610%7 Sept →
nuke13–10-0.119%7 Sept →
office13–8-0.059%7 Sept →
vertigo3–13-0.099%31 Aug →
vertigo3–110.0119%31 Aug →
anubis7–13-0.0513%31 Aug →
dust213–4-0.0217%31 Aug →
cache12–12-0.0812%31 Aug →
nuke4–00.0275%31 Aug →
inferno8–13-0.0912%31 Aug →
dust27–13-0.0114%30 Aug →
vertigo13–10-0.089%30 Aug →
inferno5–13-0.1211%30 Aug →
dust212–12-0.0213%30 Aug →
vertigo13–11-0.068%30 Aug →
cache13–2-0.0313%29 Aug →
overpass13–4-0.0423%27 Aug →
train13–3-0.023%26 Aug →
anubis12–12-0.0217%26 Aug →
dust213–5-0.0120%26 Aug →
nuke13–10-0.067%26 Aug →
dust29–13-0.0026%26 Aug →
inferno13–7-0.0119%26 Aug →
dust26–13-0.0810%26 Aug →
dust212–12-0.0814%26 Aug →
cache13–6-0.1121%26 Aug →
cache13–110.0017%26 Aug →
dust22–13-0.084%25 Aug →
inferno2–13-0.128%25 Aug →
poseidon3–9-0.2920%25 Aug →
vertigo13–70.028%25 Aug →
office4–13-0.0738%25 Aug →
nuke7–13-0.0122%25 Aug →
cache11–13-0.0913%25 Aug →
dust211–13-0.0511%25 Aug →
anubis5–13-0.1313%25 Aug →
cache13–1-0.114%25 Aug →
anubis13–10.0211%25 Aug →
mirage13–8-0.0218%24 Aug →
vertigo13–2-0.0120%24 Aug →
vertigo6–00.027%24 Aug →
mirage11–13-0.116%24 Aug →
vertigo2–13-0.0519%20 Aug →
inferno13–7-0.1111%19 Aug →
inferno1–9-0.0629%19 Aug →
mirage9–13-0.0819%19 Aug →
dust28–13-0.0722%19 Aug →
cache12–120.0119%17 Aug →
train6–13-0.0211%17 Aug →
mirage10–13-0.108%16 Aug →
anubis6–13-0.0113%16 Aug →
dust213–11-0.0210%16 Aug →
mirage13–8-0.0513%16 Aug →
vertigo13–6-0.0418%16 Aug →
anubis3–13-0.0716%11 Aug →
nuke12–12-0.0915%11 Aug →
inferno13–6-0.0625%11 Aug →
mirage10–13-0.0316%11 Aug →
dust29–13-0.0622%11 Aug →
cache8–13-0.1425%11 Aug →
vertigo11–13-0.0715%10 Aug →
train13–8-0.0427%10 Aug →
nuke13–8-0.0732%10 Aug →
mirage13–8-0.069%10 Aug →
cache5–13-0.0729%10 Aug →
dust26–13-0.0727%10 Aug →
train9–13-0.0717%9 Aug →
mirage13–2-0.067%9 Aug →
anubis13–40.0118%9 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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