Chap's

Chap's — CS2 Stats

76561198218666651[U:1:258400923]Steam profile ↗✓ No bans

3,350Tracked matches50%Win rate2020Tracked since
6,937Hours in CS31Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
FaceitLevel 9 · 2,114 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=13,804), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate38.7%48.3%51.0%12.2% short
Shot accuracy11.4%13.2%13.7%2.4% short
Kill/death ratio0.911.071.090.18 short
Match win rate46.1%46.9%48.4%2.3% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGChap'sFACEITLevel 9 · 2,114 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim57
Positioning61
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY4753Last 10047%Win rateLLWWLLWLWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · +0.5pp headshot accuracy · −36ms reaction

Win rate up 30pp 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 511ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 516ms

Last 20

  • 713 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 534ms

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 PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim5.7
Utility5.9
Positioning6.1
Opening Duels2.9
Clutch3.4

Strong CT-side opener

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 74% 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

T-side openings. Opening success drops from 56% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 70% 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
Positioning6.1
Utility5.9
Mechanics4.3
Opening Duels3.3
Win Impact5.0

Composite 5.3/10 (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 rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time545ms−49ms
first ⅓ avg 595ms → last ⅓ avg 545ms
Headshot accuracy14.2%−0.6%
first ⅓ avg 14.7% → last ⅓ avg 14.2%

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

0.13Best match rating · 13–6 · inferno, 20 Feb
29%Best headshot accuracy · 13–5 · nuke, 3 Jun
375msFastest reaction time · 13–10 · inferno, 13 Sept
13–2Biggest win · nuke, 13 Mar

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
63In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 60% over 20anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C2291341%-0.01
infernoA2012860%0.00
nukeB178947%-0.00
mirageA159660%-0.02
ancientC114736%-0.03
anubisD82625%-0.03
cache31233%-0.04
overpass31233%-0.01
train110100%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

161,972Lifetime kills
0.91K/D
9,163Matches
46.1%Match win rate
38.7%Headshot %
11.4%Shot accuracy
19,038MVPs
4,563Hours (in match)
14,611Bombs planted
2,376Bombs defused

Most-used weapons

AK-4752,868
AWP13,220
Knife4,329
FAMAS3,996
P2502,899

Lifetime map wins

26,859inferno
24,580dust2
7,008nuke
4,417vertigo
3,947train
1,384cbble
52office
28aztec

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

6,201Matches
50%Win rate
1.00Avg K/D
76.2ADR
38%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage45849%0.9714.0
Dust241447%1.0114.2
Inferno37256%1.0814.6
Ancient27453%1.0114.6
Anubis24244%0.9113.5
Nuke18348%1.0314.9
Overpass6752%0.9914.4
Vertigo5446%0.9613.1

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.

13.9%Headshot accuracy
32.9%Accuracy (enemy spotted)
32.9%Spray accuracy
69.5%Counter-strafing
9.3°Preaim
539msReaction time
30.8%T opening success
55.8%CT opening success
0.66Enemies flashed / flash
7.4%Flash assists
10.24HE damage / grenade
7.62Flashes / 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 13.9349% — below the 15% mark we flag

    Aim Training
  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 30.8397% — below the 40% mark we flag

Spend your practice time on Anubis

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0215%22 Sept
ancient11–13-0.0410%22 Sept
inferno13–90.0320%20 Sept
dust213–7-0.0323%20 Sept
nuke10–13-0.037%18 Sept
dust29–13-0.059%18 Sept
dust213–60.0315%18 Sept
mirage5–13-0.0116%17 Sept
inferno16–140.0020%15 Sept
inferno13–100.0213%13 Sept
ancient12–160.0014%13 Sept
cache3–13-0.0613%13 Sept
cache13–10-0.0410%10 Sept
nuke10–13-0.0513%7 Sept
inferno7–13-0.072%7 Sept
dust26–13-0.0211%7 Sept
dust24–13-0.0323%7 Sept
cache9–13-0.0322%2 Sept
ancient8–13-0.0714%2 Sept
dust213–10-0.0122%2 Sept
dust213–11-0.0026%2 Sept
anubis13–11-0.019%1 Sept
dust26–13-0.0621%27 Aug
mirage13–8-0.044%23 Aug
mirage13–7-0.0211%23 Aug
inferno13–90.0515%3 Aug
nuke13–40.1220%31 Jul
ancient13–80.0212%23 Jul
mirage13–9-0.054%21 Jul
dust216–19-0.0210%17 Jul
mirage13–80.0418%7 Jul
mirage13–11-0.0018%30 Jun
anubis13–110.0210%26 Jun
nuke4–13-0.0815%23 Jun
mirage8–13-0.0511%23 Jun
dust210–130.0621%23 Jun
nuke10–13-0.0213%23 Jun
dust212–160.0517%19 Jun
overpass8–13-0.0222%19 Jun
mirage13–9-0.0317%18 Jun
mirage9–13-0.0214%18 Jun
inferno5–13-0.0510%18 Jun
inferno13–60.0419%15 Jun
mirage11–10.0515%15 Jun
dust213–100.0122%10 Jun
ancient13–100.0314%7 Jun
ancient4–13-0.105%7 Jun
mirage13–10-0.0213%5 Jun
nuke10–13-0.0612%4 Jun
nuke13–5-0.0629%3 Jun
ancient8–13-0.0313%30 Apr
inferno4–13-0.0222%28 Apr
anubis4–13-0.0718%28 Apr
anubis3–13-0.0624%24 Apr
nuke13–90.029%9 Apr
inferno10–13-0.0316%2 Apr
nuke8–13-0.118%24 Mar
inferno13–160.0216%24 Mar
mirage10–13-0.0617%16 Mar
inferno16–120.0220%16 Mar
nuke13–20.0821%13 Mar
inferno7–13-0.0211%13 Mar
dust29–13-0.0524%10 Mar
nuke13–90.049%9 Mar
ancient13–10-0.029%26 Feb
ancient6–13-0.0913%23 Feb
mirage13–6-0.008%23 Feb
nuke7–13-0.0319%21 Feb
overpass13–6-0.0221%21 Feb
inferno6–13-0.0211%21 Feb
inferno13–60.1315%20 Feb
dust214–160.0220%19 Feb
dust212–16-0.0619%15 Feb
anubis7–13-0.0313%15 Feb
dust210–13-0.0014%15 Feb
mirage8–130.0121%13 Feb
dust213–60.0210%12 Feb
dust213–10-0.0016%11 Feb
overpass13–160.0016%9 Feb
anubis5–13-0.1016%3 Feb
nuke10–130.0311%3 Feb
inferno16–13-0.0311%3 Feb
dust213–10-0.0425%2 Feb
ancient4–13-0.073%1 Feb
nuke13–10-0.0018%1 Feb
dust211–13-0.064%30 Jan
nuke13–50.0212%30 Jan
inferno10–130.0222%28 Jan
inferno13–8-0.039%25 Jan
anubis4–13-0.0518%25 Jan
ancient16–140.0010%24 Jan
inferno13–100.0117%22 Jan
anubis13–160.039%22 Jan
mirage8–13-0.039%21 Jan
inferno13–10-0.0111%18 Jan
dust213–90.0319%17 Jan
nuke5–130.0320%17 Jan
train16–13-0.0215%16 Jan
nuke13–30.0916%16 Jan
inferno16–13-0.0217%16 Jan

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →