Chepmix

Chepmix — CS2 Stats

76561198207295997[U:1:247030269]Steam profile ↗✓ No bans

448Tracked matches43%Win rate2020Tracked since
CSDB Rating5.1 DevelopingSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 15,218 -2,241 20 Jul – 26 Aug · 10 days played
15,01517,459peak 17,45920 Jul26 Aug
17,664Peak Premier in tracked matches
42Days played since 2026-07-16

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

Performance scores

Aim63
Positioning56
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY37–58–5Last 10037%Win rateWWWLLTLWLW

Last 10 vs previous 10: +20pp win rate · +0.06 avg rating · +1.0pp headshot accuracy · −52ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 595ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 26%
  • Avg reaction 563ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 589ms

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).

Aim6.3
Utility6.0
Positioning5.6
Opening Duels3.8

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

jL

Plays most like jL 81% 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. 575ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim6.3
Positioning5.6
Utility6.0
Mechanics3.5
Opening Duels4.2
Win Impact2.6

Composite 5.1/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time579ms−5ms
first ⅓ avg 584ms → last ⅓ avg 579ms
Headshot accuracy25.9%+3.9%
first ⅓ avg 22.0% → last ⅓ avg 25.9%

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

0.16Best match rating · 13–2 · train, 6 Oct →
52%Best headshot accuracy · 13–4 · inferno, 11 Aug →
422msFastest reaction time · 9–13 · dust2, 20 Jul →
13–0Biggest win · mirage, 20 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W3Current streak
3–3In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 52% over 21dust2Weakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
cacheB2111–1052%-0.01
nukeC198–1142%0.01
infernoC167–944%0.00
mirageD144–1029%0.01
dust2D111–109%0.03
trainD82–625%0.05
anubis—42–250%0.01
vertigo—32–167%0.10
ancient—20–20%0.02
shelter—10–10%0.07
office—10–10%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (9% over 11). 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.

26.9%Headshot accuracy
32.5%Accuracy (enemy spotted)
38.7%Spray accuracy
65.7%Counter-strafing
11.9°Preaim
575msReaction time
45.2%T opening success
48.8%CT opening success
0.62Enemies flashed / flash
8.0%Flash assists
11.81HE damage / grenade
11.46Flashes / match

Recommended for you

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.

9% win rate across 11 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
nuke13–100.0315%19 Oct →
nuke13–70.1027%14 Oct →
inferno13–30.1433%12 Oct →
nuke1–13-0.0624%12 Oct →
train7–130.0233%12 Oct →
train12–120.1023%11 Oct →
nuke8–130.0221%6 Oct →
train13–20.1624%6 Oct →
cache4–13-0.0242%6 Oct →
inferno13–40.0522%6 Oct →
cache4–13-0.0424%5 Oct →
anubis2–13-0.0315%5 Oct →
dust25–130.0218%5 Oct →
nuke13–5-0.0224%4 Oct →
train12–120.0128%4 Oct →
nuke7–13-0.0425%2 Oct →
train13–80.0231%2 Oct →
cache5–13-0.0530%22 Sept →
vertigo13–30.1234%22 Sept →
inferno1–13-0.0623%22 Sept →
mirage3–13-0.0919%22 Sept →
nuke13–80.0732%21 Sept →
inferno13–10-0.0434%21 Sept →
train5–130.0035%15 Sept →
cache13–10-0.0137%15 Sept →
inferno2–13-0.0936%15 Sept →
nuke6–13-0.0332%14 Sept →
inferno13–4-0.0213%14 Sept →
train9–130.0024%14 Sept →
train10–130.0627%11 Sept →
nuke13–5-0.056%7 Sept →
cache13–80.0126%5 Sept →
mirage12–120.0119%5 Sept →
inferno9–13-0.0817%27 Aug →
cache2–13-0.0630%26 Aug →
inferno13–40.0624%26 Aug →
inferno10–13-0.0521%24 Aug →
nuke9–13-0.0532%24 Aug →
mirage12–120.0923%23 Aug →
inferno13–40.0232%23 Aug →
inferno7–130.0424%21 Aug →
dust29–130.0322%21 Aug →
cache13–110.0141%21 Aug →
ancient4–13-0.0730%21 Aug →
mirage10–13-0.0629%21 Aug →
mirage13–00.0931%20 Aug →
nuke11–13-0.0434%20 Aug →
inferno10–130.0731%20 Aug →
shelter9–130.0726%12 Aug →
inferno13–40.1052%11 Aug →
cache2–13-0.0424%11 Aug →
nuke13–30.0740%10 Aug →
mirage3–13-0.0611%10 Aug →
cache13–70.0321%10 Aug →
nuke13–7-0.0422%9 Aug →
anubis9–40.0219%9 Aug →
inferno9–13-0.0325%9 Aug →
nuke5–130.0841%7 Aug →
dust211–13-0.0423%7 Aug →
office7–130.0429%7 Aug →
mirage3–13-0.089%6 Aug →
nuke13–4-0.0120%6 Aug →
cache9–13-0.0526%4 Aug →
dust210–130.0617%3 Aug →
cache8–13-0.0127%2 Aug →
nuke6–130.0633%2 Aug →
cache13–110.0525%2 Aug →
dust23–13-0.150%1 Aug →
nuke4–130.0721%31 Jul →
dust211–130.0416%31 Jul →
inferno3–13-0.0714%31 Jul →
mirage5–130.0022%31 Jul →
ancient7–130.1135%29 Jul →
cache13–80.0524%29 Jul →
dust210–130.0934%27 Jul →
anubis13–60.0418%27 Jul →
cache2–130.0015%27 Jul →
cache13–10-0.0124%27 Jul →
cache13–60.0218%25 Jul →
cache1–8-0.0318%25 Jul →
anubis12–12-0.0013%23 Jul →
vertigo10–130.0224%23 Jul →
nuke3–80.0415%22 Jul →
dust210–130.1539%22 Jul →
dust213–110.0923%21 Jul →
nuke10–130.0721%21 Jul →
vertigo13–20.1430%21 Jul →
cache13–70.0026%21 Jul →
mirage5–13-0.0219%21 Jul →
mirage3–13-0.0424%20 Jul →
dust29–130.0426%20 Jul →
cache13–90.0231%20 Jul →
cache5–13-0.0413%19 Jul →
mirage1–13-0.0227%19 Jul →
mirage13–70.0533%19 Jul →
cache13–100.0521%17 Jul →
mirage13–50.1011%17 Jul →
inferno10–13-0.0129%17 Jul →
dust27–13-0.0326%17 Jul →
mirage13–30.1421%16 Jul →

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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