CHOP

CHOP — CS2 Stats

US76561198142621797[U:1:182356069]Steam profile ↗✓ No bans

797Tracked matches52%Win rate2020Tracked since
CSDB Rating6.2 SolidAll-Rounder
CSDB Leaderboard#87377 of 251475 tracked
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,664 +1,595 27 Nov – 26 May · 5 days played
17,62419,664peak 19,66427 Nov26 May
19,664Peak Premier in tracked matches
61Days played since 2024-11-27

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

Performance scores

Aim74
Positioning50
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateLWLWLWWLLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +0.2pp headshot accuracy · +63ms reaction

Win rate 0pp 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 -0.02
  • Avg headshot accuracy 30%
  • Avg reaction 641ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 670ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 638ms

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.

Aim7.4
Utility4.9
Positioning5.0
Opening Duels3.5
Clutch3.8

Excellent counter-strafing

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

NiKo

Plays most like NiKo 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile; lower positioning 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

Strengths

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Reaction time. 621ms 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

Aim7.4
Positioning5.0
Utility4.9
Mechanics9.1
Opening Duels2.8
Win Impact5.6

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-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time634ms+34ms
first ⅓ avg 600ms → last ⅓ avg 634ms
Headshot accuracy26.9%+5.0%
first ⅓ avg 21.9% → last ⅓ avg 26.9%

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

0.09Best match rating · 13–7 · ancient, 8 Apr →
58%Best headshot accuracy · 7–13 · mirage, 20 May →
406msFastest reaction time · 13–11 · mirage, 18 Jan →
13–2Biggest win · ancient, 30 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
11–14In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 80% over 5dust2Weakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
mirageC2511–1444%-0.00
dust2D186–1233%-0.01
ancientS1510–567%0.01
infernoA138–562%0.00
anubisD124–833%-0.01
nukeS54–180%0.02
train—42–250%0.03
vertigo—32–167%0.03
overpass—22–0100%0.04
cache—11–0100%0.03
grail—10–10%-0.05
office—11–0100%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

281Matches
51%Win rate
1.09Avg K/D
79.5ADR
54%Headshot %

Clutches & streaks

39%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage6652%1.1317.4
Inferno4943%1.0817.1
Anubis4161%1.0716.9
Ancient3954%1.0416.2
Dust23954%1.0916.1
Nuke1540%1.1119.1
Train1242%1.1017.2
Vertigo1164%1.0315.6

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.

27.0%Headshot accuracy
31.1%Accuracy (enemy spotted)
30.6%Spray accuracy
90.9%Counter-strafing
10.3°Preaim
621msReaction time
35.7%T opening success
46.8%CT opening success
0.52Enemies flashed / flash
8.8%Flash assists
9.56HE damage / grenade
11.45Flashes / 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 35.7258% — 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.

33% win rate across 18 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
mirage10–13-0.0821%20 Sept →
ancient13–90.0335%20 Sept →
ancient4–13-0.0330%10 Sept →
dust213–6-0.0117%1 Aug →
mirage5–13-0.0146%30 Jun →
overpass13–110.0725%30 Jun →
dust28–10.0613%29 Jun →
mirage7–13-0.0258%20 May →
inferno11–13-0.1012%19 May →
mirage16–140.0219%19 May →
cache13–100.0333%16 May →
dust24–13-0.0438%16 May →
ancient13–70.0225%12 Apr →
inferno13–7-0.0136%12 Apr →
mirage15–150.0428%9 Apr →
inferno5–13-0.0426%9 Apr →
nuke13–100.0415%7 Apr →
anubis13–90.0127%7 Apr →
dust28–13-0.0625%31 Dec →
mirage7–13-0.0121%12 Sept →
inferno18–22-0.0122%10 Sept →
nuke13–70.0223%8 Sept →
mirage13–5-0.0034%17 Jul →
dust23–13-0.0938%17 Jul →
overpass13–90.0236%17 Jul →
mirage5–110.0218%30 May →
ancient13–100.0224%26 May →
dust210–13-0.0319%26 May →
ancient13–90.0124%21 May →
grail6–13-0.0529%8 May →
train4–60.0235%4 May →
dust213–9-0.0520%4 May →
ancient10–130.0615%4 May →
dust211–13-0.0421%4 May →
inferno13–80.0216%9 Apr →
inferno13–50.0818%8 Apr →
ancient13–70.0925%8 Apr →
train13–100.0647%5 Apr →
dust28–130.0029%3 Apr →
mirage13–70.0831%3 Apr →
mirage13–100.0322%1 Apr →
dust211–130.0217%30 Mar →
mirage2–13-0.0531%30 Mar →
mirage15–150.0326%30 Mar →
ancient13–20.0727%30 Mar →
nuke13–9-0.0515%19 Feb →
anubis11–130.0119%18 Feb →
dust29–130.0020%18 Feb →
ancient13–8-0.0810%15 Feb →
dust213–70.0130%15 Feb →
anubis9–13-0.0311%14 Feb →
mirage13–110.0227%9 Feb →
anubis13–160.0124%8 Feb →
mirage14–16-0.0225%3 Feb →
dust214–160.0229%30 Jan →
dust29–13-0.0415%27 Jan →
ancient19–170.0527%25 Jan →
dust214–160.0731%23 Jan →
mirage13–90.0022%21 Jan →
nuke13–90.0424%21 Jan →
inferno13–10-0.0114%20 Jan →
ancient13–11-0.0214%20 Jan →
mirage9–13-0.0746%19 Jan →
anubis7–13-0.0420%18 Jan →
mirage13–11-0.0230%18 Jan →
anubis9–13-0.0122%17 Jan →
inferno13–70.0434%17 Jan →
anubis4–13-0.0422%16 Jan →
train13–80.0121%15 Jan →
inferno13–70.0330%15 Jan →
anubis11–13-0.0726%15 Jan →
mirage5–130.0129%12 Jan →
anubis13–110.0532%12 Jan →
vertigo13–110.0115%12 Jan →
inferno14–160.0334%12 Jan →
mirage8–130.0419%12 Jan →
inferno13–8-0.0228%12 Jan →
vertigo13–60.0222%12 Jan →
nuke10–130.0429%10 Jan →
mirage22–200.0523%1 Jan →
ancient8–130.0310%29 Dec →
anubis13–100.0416%29 Dec →
dust213–110.0225%28 Dec →
anubis13–70.0527%27 Dec →
office13–4-0.0614%24 Dec →
ancient11–130.0018%23 Dec →
dust213–90.0322%23 Dec →
ancient13–8-0.0016%20 Dec →
vertigo11–130.0622%20 Dec →
train14–160.0216%8 Dec →
mirage13–90.0216%7 Dec →
mirage13–16-0.0424%5 Dec →
mirage13–7-0.0613%5 Dec →
inferno13–80.0520%5 Dec →
dust27–13-0.0418%4 Dec →
inferno11–13-0.0318%1 Dec →
mirage3–13-0.064%30 Nov →
anubis4–13-0.0719%30 Nov →
mirage13–110.0235%27 Nov →
ancient6–13-0.0636%27 Nov →

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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