mattchew — CS2 Stats

76561198142910145[U:1:182644417]

1,538Tracked matches39%Win rate2020Tracked since
2,089Hours in CS7Hrs last 2 wks
CSDB Rating4.9 Developing
Premier CS Rating9,567Light Blue band · top ~57% of ranked players (population est.)
CSDB Leaderboard#39848 of 54879 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 medianLevel 5 medianvs Level 5
Headshot rate54.0%42.7%44.0%above
Shot accuracy3.8%10.8%11.6%7.8% short
Kill/death ratio0.811.001.030.21 short
Match win rate43.0%44.1%45.1%2.1% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmattchewFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER9,567 · Light Blue bandcsdb.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

Aim54
Positioning63
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY41536Last 10041%Win rateLWLLLWWLWL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim5.4
Aggression8.2
Utility5.1
Positioning6.3
Opening Duels4.3

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

donk

Plays most like donk 87% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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. 750ms 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

Aim5.4
Positioning6.3
Utility5.1
Mechanics8.2
Opening Duels4.3
Win Impact1.4

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time752ms+82ms
first ⅓ avg 670ms → last ⅓ avg 752ms
Headshot accuracy23.8%−3.6%
first ⅓ avg 27.4% → last ⅓ avg 23.8%

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.

Highlights

0.19Best rating — ancient 13–1
131Biggest win — ancient
5Longest win streak
53In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 71% over 7infernoWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
nukeC2191243%-0.00
infernoD2171433%0.00
mirageC2071335%0.01
ancientC167944%0.00
dust2C73443%-0.02
anubisS75271%0.02
cacheB63350%-0.03
office1010%0.10
overpass1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,408Lifetime kills
0.81K/D
2,428Matches
43.0%Match win rate
54.0%Headshot % · Top 25% of Level 4 players
3.8%Shot accuracy
4,614MVPs
1,026Hours (in match)
1,302Bombs planted
471Bombs defused

Most-used weapons

Lifetime map wins

4,595inferno
3,237dust2
2,958nuke
1,204vertigo
297train
85office
8lake
7aztec

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

Faceit stats

Combat

14Matches
36%Win rate
1.00Avg K/D
ADR
59%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage650%0.9812.0
Ancient425%1.2216.8
Vertigo250%1.0614.5
Anubis10%0.8814.0
Inferno10%0.265.0

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.

23.3%Headshot accuracy
31.2%Accuracy (enemy spotted)
31.6%Spray accuracy
86.7%Counter-strafing
10.8°Preaim
750msReaction time
46.8%T opening success
47.9%CT opening success
0.57Enemies flashed / flash
5.9%Flash assists
12.50HE damage / grenade
3.02Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 750.2343ms — above the 700ms mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0177 — below the 4 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0734%29 Aug
nuke13–70.0329%29 Aug
mirage6–130.0233%29 Aug
inferno3–13-0.0814%28 Aug
ancient2–13-0.0516%26 Aug
anubis13–60.0528%21 Aug
ancient13–70.0130%21 Aug
ancient9–130.0127%19 Aug
nuke13–10-0.0523%19 Aug
cache10–130.0117%19 Aug
inferno9–130.0324%15 Aug
anubis13–8-0.0317%11 Aug
inferno13–2-0.0725%10 Aug
inferno2–13-0.0536%10 Aug
nuke13–80.1020%10 Aug
inferno13–20.0831%10 Aug
nuke9–13-0.0510%5 Aug
inferno15–150.0621%5 Aug
inferno6–13-0.0116%4 Aug
nuke10–130.0525%4 Aug
mirage3–130.0315%4 Aug
cache13–60.0226%4 Aug
nuke6–13-0.1022%4 Aug
mirage5–130.0120%28 Jul
nuke15–150.0630%25 Jul
inferno14–160.0122%25 Jul
nuke13–16-0.0111%24 Jul
inferno13–8-0.0831%24 Jul
cache7–13-0.0922%22 Jul
mirage13–9-0.0529%22 Jul
ancient13–6-0.0417%22 Jul
nuke4–13-0.0835%22 Jul
inferno13–4-0.0128%22 Jul
mirage13–60.0138%19 Jul
ancient13–10.1930%19 Jul
nuke13–40.0730%18 Jul
ancient10–13-0.0623%18 Jul
ancient13–8-0.0127%17 Jul
nuke11–13-0.0328%17 Jul
inferno9–130.0327%17 Jul
anubis13–30.0421%15 Jul
cache16–13-0.1024%15 Jul
anubis13–90.0123%10 Jul
cache6–13-0.0229%10 Jul
nuke5–13-0.0633%10 Jul
mirage13–6-0.0024%9 Jul
ancient8–13-0.0621%9 Jul
mirage6–130.0225%9 Jul
inferno10–130.0231%9 Jul
cache13–40.0029%9 Jul
ancient16–14-0.0220%4 Jul
dust213–30.0330%4 Jul
ancient15–15-0.0229%4 Jul
mirage4–100.1033%4 Jul
nuke14–120.0321%3 Jul
mirage13–50.0224%1 Jul
anubis6–13-0.0711%1 Jul
mirage14–160.0122%1 Jul
ancient13–50.0643%1 Jul
ancient15–15-0.0326%27 Jun
mirage10–130.0133%27 Jun
nuke13–8-0.0517%27 Jun
mirage5–13-0.009%21 Jun
inferno0–13-0.0215%21 Jun
dust25–13-0.0126%19 Jun
inferno13–110.0433%19 Jun
mirage13–80.0333%18 Jun
inferno9–130.0725%17 Jun
dust213–100.0424%17 Jun
mirage6–130.0126%10 Jun
inferno13–60.0630%10 Jun
inferno16–140.0321%6 Jun
nuke13–60.0319%6 Jun
mirage13–30.0917%5 Jun
ancient13–6-0.0423%5 Jun
office2–130.10100%4 Jun
mirage6–130.0338%4 Jun
inferno8–13-0.0427%4 Jun
nuke13–110.0221%4 Jun
nuke6–13-0.0018%4 Jun
ancient9–130.0227%4 Jun
mirage0–13-0.0619%3 Jun
dust29–13-0.0320%3 Jun
ancient6–13-0.0236%31 May
overpass4–13-0.0433%30 May
ancient2–100.0521%29 May
inferno8–130.0229%29 May
dust213–9-0.1014%29 May
nuke2–130.0031%29 May
inferno15–15-0.0726%29 May
mirage10–130.0117%29 May
nuke3–13-0.0814%28 May
inferno8–13-0.0137%22 May
dust210–130.0326%22 May
nuke9–20.0823%22 May
mirage13–10.0343%22 May
anubis9–130.0528%22 May
mirage8–13-0.0517%17 May
anubis13–80.0735%17 May
nuke15–15-0.0217%16 May

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 →