Evix

Evix — CS2 Stats

TL76561198122433161[U:1:162167433]Steam profile ↗✓ No bans

369Tracked matches64%Win rate2020Tracked since
CSDB Rating6.2 SolidAll-Rounder
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 369 tracked matches. Play, then come back: the next observation lands here.

Rating over time

51Days played since 2025-04-11

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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CSDB.GGEvixFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim79
Positioning43
Utility36

0–100 skill scores via Leetify.

Recent form

COLD62–30–8Last 10062%Win rateWWLLLLLWLL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · +4.2pp headshot accuracy · −16ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 588ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 29%
  • Avg reaction 598ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 606ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.9
Utility3.6
Positioning4.3
Opening Duels3.9

Effective flashesLimited 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

device

Plays most like device 90% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 53% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms 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

Aim7.9
Positioning4.3
Utility3.6
Mechanics7.8
Opening Duels2.9
Win Impact9.8

Composite 6.2/10 (Solid), 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-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time615ms−19ms
first ⅓ avg 634ms → last ⅓ avg 615ms
Headshot accuracy28.4%−1.1%
first ⅓ avg 29.6% → last ⅓ avg 28.4%

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

0.30Best match rating · 13–0 · dust2, 24 Apr →
59%Best headshot accuracy · 13–11 · ancient, 23 Apr →
422msFastest reaction time · 9–13 · dust2, 9 Jul →
13–0Biggest win · nuke, 16 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
8–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 80% over 10trainWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A2011–955%0.02
mirageS1812–667%-0.00
infernoA169–756%-0.02
nukeS107–370%0.01
anubisS108–280%0.01
ancientA95–456%-0.01
trainC73–443%-0.02
overpassS64–267%0.00
grail—22–0100%0.01
jura—10–10%0.04
vertigo—11–0100%-0.05

Across the last 100 tracked matches.

Faceit stats

Combat

62Matches
45%Win rate
1.05Avg K/D
—ADR
51%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLLW

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.

28.4%Headshot accuracy
31.7%Accuracy (enemy spotted)
35.5%Spray accuracy
85.3%Counter-strafing
9.5°Preaim
612msReaction time
28.2%T opening success
52.9%CT opening success
0.77Enemies flashed / flash
17.2%Flash assists
8.70HE damage / grenade
4.37Flashes / 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

    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 28.1703% — below the 40% mark we flag

Spend your practice time on Train

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–80.0728%6 Jul →
dust213–90.0229%24 Dec →
train2–13-0.0629%11 Nov →
ancient8–13-0.0123%10 Nov →
inferno7–130.0242%7 Nov →
inferno3–13-0.0624%30 Oct →
overpass11–13-0.0631%29 Oct →
inferno13–10-0.0138%29 Oct →
mirage4–13-0.0223%22 Oct →
dust211–130.0821%22 Oct →
nuke13–60.0425%9 Oct →
dust25–13-0.0719%29 Sept →
inferno13–6-0.058%29 Sept →
mirage5–13-0.0118%21 Sept →
dust213–10.1727%17 Sept →
train13–11-0.0340%15 Sept →
mirage13–70.0126%15 Sept →
ancient13–11-0.0129%15 Sept →
anubis13–30.0616%14 Sept →
mirage13–40.0337%14 Sept →
dust210–13-0.0736%10 Sept →
train12–12-0.0330%10 Sept →
overpass13–6-0.0323%6 Sept →
anubis13–30.0136%18 Aug →
mirage10–6-0.1332%1 Aug →
dust25–0-0.0540%1 Aug →
inferno13–6-0.0422%25 Jul →
overpass13–80.1127%15 Jul →
inferno12–12-0.0327%15 Jul →
nuke13–40.0450%13 Jul →
mirage13–90.0230%13 Jul →
dust212–12-0.0021%13 Jul →
dust29–130.0133%9 Jul →
ancient13–3-0.0435%9 Jul →
mirage6–13-0.0832%8 Jul →
grail13–70.0116%8 Jul →
dust25–13-0.0533%6 Jun →
nuke11–130.0126%3 Jun →
grail13–110.0030%2 Jun →
inferno13–10-0.0127%1 Jun →
anubis10–2-0.0130%1 Jun →
mirage13–10.0130%30 May →
train8–130.0223%25 May →
train13–11-0.0235%21 May →
mirage13–4-0.0330%20 May →
inferno9–130.0428%18 May →
dust213–30.1130%18 May →
anubis13–10.1432%18 May →
mirage13–110.0732%18 May →
ancient8–130.0026%17 May →
nuke13–00.0235%16 May →
anubis13–4-0.0526%16 May →
dust213–70.0031%16 May →
train13–30.0142%9 May →
inferno7–13-0.0929%9 May →
overpass12–12-0.0313%9 May →
jura10–130.0420%8 May →
ancient11–130.0421%7 May →
dust213–9-0.0238%7 May →
inferno13–30.1638%2 May →
nuke11–13-0.0529%30 Apr →
ancient13–40.0534%30 Apr →
anubis7–13-0.0334%30 Apr →
dust213–70.0327%30 Apr →
train12–12-0.0035%29 Apr →
dust212–12-0.0625%29 Apr →
mirage7–13-0.0331%29 Apr →
nuke13–50.0543%29 Apr →
inferno13–50.0229%29 Apr →
mirage13–6-0.0118%27 Apr →
inferno3–13-0.0522%27 Apr →
mirage8–1-0.0222%27 Apr →
ancient13–60.0111%27 Apr →
anubis13–20.1324%26 Apr →
dust25–13-0.0216%26 Apr →
mirage11–13-0.0235%24 Apr →
inferno13–10-0.0328%24 Apr →
dust213–00.3023%24 Apr →
ancient13–11-0.0459%23 Apr →
dust213–1-0.0228%23 Apr →
overpass13–20.0328%22 Apr →
anubis2–0-0.110%22 Apr →
nuke13–90.0026%22 Apr →
ancient7–13-0.0934%21 Apr →
inferno13–2-0.0233%21 Apr →
anubis8–13-0.0658%20 Apr →
nuke7–13-0.0129%20 Apr →
mirage13–20.0532%20 Apr →
overpass13–2-0.0232%20 Apr →
mirage15–150.0316%16 Apr →
anubis13–60.0636%15 Apr →
nuke13–8-0.0143%15 Apr →
dust212–120.0221%15 Apr →
inferno2–9-0.1438%15 Apr →
vertigo13–5-0.0520%15 Apr →
dust213–4-0.0328%15 Apr →
inferno13–11-0.0038%14 Apr →
mirage13–80.0240%14 Apr →
nuke13–100.0234%11 Apr →
dust213–50.0429%11 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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