ErVinChi

ErVinChi — CS2 Stats

DK76561198068352000[U:1:108086272]Steam profile ↗✓ No bans

1,764Tracked matches52%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 1,764
−3.7ppWin rate · 55.6% → 51.8%

Rating over time

Premier CS Rating: 11,956 -933 10 Jun – 30 Jun · 11 days played
11,78513,610peak 13,61010 Jun30 Jun
13,610Peak Premier in tracked matches
42Days played since 2025-06-10

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGErVinChiFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim57
Positioning60
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateLWLLLLTWWW

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · −9.4pp headshot accuracy · −13ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 511ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 545ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 551ms

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: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim5.7
Utility4.2
Positioning6.0
Opening Duels3.0
Clutch6.0

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 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Counter-strafing. Only 67% 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

Aim5.7
Positioning6.0
Utility4.2
Mechanics3.8
Opening Duels2.3
Win Impact5.6

Composite 4.9/10 (Developing), 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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time535ms−51ms
first ⅓ avg 587ms → last ⅓ avg 535ms
Headshot accuracy16.7%−0.2%
first ⅓ avg 16.9% → last ⅓ avg 16.7%

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

0.10Best match rating · 6–13 · office, 14 Mar →
38%Best headshot accuracy · 13–4 · office, 29 Jun →
406msFastest reaction time · 13–6 · office, 11 Feb →
13–0Biggest win · italy, 14 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 72% over 18dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
officeB2211–1150%0.02
nukeS1813–572%-0.02
infernoA117–464%-0.01
anubisC83–538%-0.01
agencyS75–271%0.01
dust2D61–517%0.00
mirageD62–433%-0.00
ancientC52–340%0.02
italy—43–175%0.01
overpass—32–167%-0.03
train—32–167%-0.00
vertigo—20–20%-0.06
cache—20–20%-0.01
boulder—10–10%-0.06
alpine—10–10%0.01
grail—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

214Matches
50%Win rate
1.22Avg K/D
80.6ADR
36%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage30%0.9617.7
Anubis250%1.1111.5
Nuke10%1.2918.0

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.

16.5%Headshot accuracy
31.6%Accuracy (enemy spotted)
36.3%Spray accuracy
67.0%Counter-strafing
9.8°Preaim
545msReaction time
35.4%T opening success
43.2%CT opening success
0.42Enemies flashed / flash
4.0%Flash assists
11.02HE damage / grenade
4.71Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.424 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 35.3724% — 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.

17% win rate across 6 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
vertigo9–13-0.085%16 Oct →
italy13–60.0016%25 Sept →
office10–13-0.009%12 Sept →
office10–13-0.049%12 Sept →
office8–13-0.0310%12 Sept →
office8–13-0.0717%30 Aug →
boulder12–12-0.0615%28 Aug →
italy13–5-0.0713%28 Aug →
office13–100.0722%28 Aug →
overpass13–90.0214%6 Jun →
inferno11–13-0.0525%6 Jun →
dust215–15-0.0125%6 Jun →
cache4–13-0.0625%5 Jun →
cache12–120.0418%9 May →
italy13–00.1033%14 Mar →
office8–13-0.0129%14 Mar →
office6–130.1018%14 Mar →
office13–40.0323%12 Mar →
office13–3-0.0016%11 Mar →
nuke9–13-0.0313%9 Mar →
office8–130.0515%9 Mar →
nuke13–60.0414%8 Mar →
nuke13–100.0212%24 Feb →
anubis13–100.0411%21 Feb →
mirage8–130.0116%21 Feb →
inferno13–100.0621%21 Feb →
office8–130.0122%16 Feb →
nuke13–110.0417%15 Feb →
office13–90.0313%15 Feb →
office13–11-0.018%15 Feb →
office13–40.0220%14 Feb →
italy12–12-0.0122%13 Feb →
office4–13-0.017%13 Feb →
alpine7–130.0127%13 Feb →
office6–30.0321%13 Feb →
nuke13–80.0113%13 Feb →
mirage3–13-0.0726%13 Feb →
anubis5–130.0217%13 Feb →
office13–60.0226%11 Feb →
overpass7–13-0.0937%9 Feb →
anubis2–13-0.087%9 Feb →
anubis13–110.0219%25 Jan →
inferno13–10-0.0214%25 Jan →
nuke13–70.0017%25 Jan →
inferno13–80.0221%19 Jan →
overpass13–9-0.029%11 Jan →
nuke13–8-0.0226%9 Jan →
train13–9-0.0710%8 Jan →
mirage11–13-0.0011%3 Jan →
nuke13–80.0215%3 Jan →
agency5–13-0.0317%30 Aug →
office8–13-0.0216%30 Aug →
ancient13–90.0415%29 Jul →
nuke16–13-0.0212%30 Jun →
inferno1–10-0.058%30 Jun →
nuke9–13-0.0113%30 Jun →
agency13–50.0421%30 Jun →
inferno13–60.0511%29 Jun →
mirage2–60.0212%29 Jun →
nuke13–4-0.015%29 Jun →
anubis7–13-0.0214%29 Jun →
dust26–13-0.0420%29 Jun →
nuke13–8-0.0212%29 Jun →
nuke5–13-0.0816%29 Jun →
office13–40.0938%29 Jun →
office10–130.0213%29 Jun →
train15–15-0.0111%27 Jun →
inferno16–120.0315%24 Jun →
mirage13–70.0415%24 Jun →
agency13–80.0614%24 Jun →
nuke11–13-0.096%23 Jun →
train13–40.0713%23 Jun →
mirage13–10-0.0214%23 Jun →
inferno13–5-0.0517%23 Jun →
office13–110.059%23 Jun →
dust216–140.0423%22 Jun →
nuke10–13-0.0613%22 Jun →
grail7–13-0.0213%22 Jun →
agency13–5-0.0215%17 Jun →
anubis0–8-0.0513%16 Jun →
ancient3–13-0.088%16 Jun →
inferno1–5-0.0321%14 Jun →
anubis13–8-0.0411%14 Jun →
office10–50.0318%13 Jun →
dust26–130.0520%13 Jun →
agency13–7-0.0530%13 Jun →
ancient10–130.0111%13 Jun →
dust210–130.0119%12 Jun →
inferno13–40.0119%12 Jun →
nuke13–8-0.0421%12 Jun →
nuke13–70.0227%11 Jun →
agency5–130.0221%11 Jun →
agency13–60.0520%11 Jun →
ancient13–70.0514%11 Jun →
ancient15–150.0716%10 Jun →
dust25–13-0.0217%10 Jun →
inferno3–13-0.0521%10 Jun →
vertigo7–13-0.0412%10 Jun →
nuke13–10-0.1028%10 Jun →
anubis9–130.0622%10 Jun →

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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