๐š”๐š’๐š˜๐šœ๐š”

๐š”๐š’๐š˜๐šœ๐š” โ€” CS2 Stats

IT76561199372143418[U:1:1411877690]Steam profile โ†—โœ“ No bans

923Tracked matches46%Win rate2025Tracked since
1,145Hours in CS2Hrs last 2 wks
CSDB Rating4.4 DevelopingSupport
FaceitLevel 4 ยท 963 ELOTop 81.0% of ranked FACEIT players
WingmanSilver Elite Master
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 โ€” 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 โ†’

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=12,658), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here โ€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate43.9%42.7%43.8%meets
Shot accuracy0.0%11.2%12.0%12.0% short
Kill/death ratio0.651.001.020.36 short
Match win rate48.8%43.9%44.7%above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

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

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CSDB.GG๐š”๐š’๐š˜๐šœ๐š”FACEITLevel 4 ยท 963 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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

Performance scores

Aim57
Positioning40
Utility60

0โ€“100 skill scores via Leetify.

Recent form

COLD46โ€“44โ€“10Last 10046%Win rateLWLLWLLLTW

Last 10 vs previous 10: โˆ’30pp win rate ยท +0.01 avg rating ยท +1.7pp headshot accuracy ยท โˆ’47ms reaction

Win rate down 30pp across the last 10 against the 10 before โ€” more than a 10-match window's normal noise (ยฑ20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 ยท 10 ยท 20 matches

Last 5

  • 2โ€“3 ยท 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 626ms

Last 10

  • 3โ€“6โ€“1 ยท 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 642ms

Last 20

  • 9โ€“10โ€“1 ยท 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 666ms

Newest first, from the last 100 tracked matches. Each block is its own sample โ€” one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support โ€” Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim5.7
Utility6.0
Positioning4.0
Opening Duels1.2
Clutch6.0

Effective flashes

Style profile from tracked-match aggregates โ€” 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 โ€” 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 80% 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 โ€” it says how you play, not that you play at their level. Full comparison โ†’

Strengths & areas to improve

Strengths

Flashes. 0.96 enemies blinded per flash โ€” utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 40% on CT to 20% on T โ€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 663ms from enemy-visible to first shot leaves fights decided before they start โ€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers โ€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.7
Positioning4.0
Utility6.0
Mechanics6.3
Opening Duels1.2
Win Impact3.7

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (ร—0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first โ…“ avg -0.02 โ†’ last โ…“ avg -0.02
Reaction time670msโˆ’23ms
first โ…“ avg 692ms โ†’ last โ…“ avg 670ms
Headshot accuracy17.3%โˆ’1.5%
first โ…“ avg 18.8% โ†’ last โ…“ avg 17.3%

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

0.06Best match rating ยท 9โ€“13 ยท inferno, 29 Aug โ†’
35%Best headshot accuracy ยท 10โ€“13 ยท dust2, 24 Jun โ†’
414msFastest reaction time ยท 13โ€“11 ยท office, 25 May โ†’
13โ€“2Biggest win ยท dust2, 6 Jun โ†’

Across the last 100 tracked matches.

Highlights

5Longest win streak
10โ€“6In matches decided by โ‰ค2 rounds

Map breakdown

officeBest map ยท 80% over 5mirageWeakest map ยท 33% over 18
MapGradePlayedRecordWin rateAvg rating
dust2A2916โ€“1355%-0.02
mirageD186โ€“1233%-0.02
infernoC156โ€“940%-0.00
nukeD124โ€“833%-0.03
italyA106โ€“460%-0.01
officeS54โ€“180%-0.03
vertigoโ€”42โ€“250%-0.02
cacheโ€”30โ€“30%-0.02
overpassโ€”11โ€“0100%-0.03
ancientโ€”11โ€“0100%-0.08
trainโ€”10โ€“10%-0.07
strongholdโ€”10โ€“10%-0.06

Across the last 100 tracked matches.

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

Lifetime stats

20,544Lifetime kills
0.65K/D
1,519Matches
48.8%Match win rate ยท Top 25% of Level 4 players
43.9%Headshot % ยท Top 50% of Level 4 players
0.0%Shot accuracy
2,057MVPs
802Hours (in match)
715Bombs planted
327Bombs defused

Most-used weapons

Lifetime map wins

3,152dust2
1,434inferno
1,401nuke
1,209office
938vertigo
850italy
394train
9ar_shoots

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

Faceit stats

Combat

23Matches
39%Win rate
1.02Avg K/D
74.3ADR
44%Headshot %

Clutches & streaks

50%1v1 clutch win
45%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1145%1.1817.9
Dust2633%0.9113.8
Nuke333%0.7712.7
Ancient250%0.8312.5
Overpass10%1.0017.0

Faceit-match stats via the FACEIT Data API โ€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches โ€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.0%Headshot accuracy
33.0%Accuracy (enemy spotted)
37.0%Spray accuracy
78.3%Counter-strafing
10.1ยฐPreaim
663msReaction time
20.2%T opening success
39.7%CT opening success
0.96Enemies flashed / flash
3.6%Flash assists
11.05HE damage / grenade
8.07Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag โ€” 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 20.2053% โ€” below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 18 tracked games โ€” your weakest map with enough games to be worth reading into.

Mirage callouts & strategy โ†’Mirage grenade lineups โ†’

Recent matches

MapScoreRatingHS%Date
inferno9โ€“130.0617%29 Aug โ†’
dust25โ€“4-0.0223%29 Aug โ†’
inferno9โ€“13-0.0624%29 Aug โ†’
dust210โ€“13-0.0024%29 Aug โ†’
mirage13โ€“80.016%29 Aug โ†’
italy3โ€“13-0.0226%29 Aug โ†’
nuke8โ€“13-0.076%22 Aug โ†’
inferno11โ€“13-0.0116%22 Aug โ†’
dust212โ€“120.0020%22 Aug โ†’
mirage7โ€“1-0.0223%22 Aug โ†’
mirage9โ€“13-0.0427%16 Aug โ†’
dust213โ€“11-0.0218%16 Aug โ†’
dust213โ€“9-0.0318%16 Aug โ†’
dust210โ€“13-0.0416%15 Aug โ†’
nuke13โ€“90.0310%9 Aug โ†’
inferno13โ€“80.0118%27 Jun โ†’
mirage0โ€“10-0.030%27 Jun โ†’
vertigo13โ€“9-0.0625%25 Jun โ†’
italy11โ€“13-0.0211%25 Jun โ†’
mirage13โ€“40.0124%24 Jun โ†’
dust210โ€“13-0.0235%24 Jun โ†’
vertigo13โ€“90.0220%24 Jun โ†’
dust210โ€“130.0219%22 Jun โ†’
mirage12โ€“12-0.078%22 Jun โ†’
nuke13โ€“11-0.049%12 Jun โ†’
inferno6โ€“13-0.0615%12 Jun โ†’
dust213โ€“11-0.079%12 Jun โ†’
dust212โ€“12-0.0220%10 Jun โ†’
mirage12โ€“12-0.0114%10 Jun โ†’
vertigo4โ€“13-0.0213%8 Jun โ†’
dust212โ€“12-0.0220%8 Jun โ†’
italy13โ€“60.0224%7 Jun โ†’
inferno7โ€“13-0.0315%7 Jun โ†’
nuke7โ€“130.018%7 Jun โ†’
mirage10โ€“13-0.0314%7 Jun โ†’
dust213โ€“9-0.0113%7 Jun โ†’
dust213โ€“20.0317%6 Jun โ†’
mirage5โ€“130.0022%6 Jun โ†’
office0โ€“7-0.0633%5 Jun โ†’
nuke11โ€“13-0.037%5 Jun โ†’
inferno11โ€“13-0.0015%5 Jun โ†’
dust213โ€“110.019%5 Jun โ†’
mirage1โ€“13-0.0422%5 Jun โ†’
overpass13โ€“7-0.0321%29 May โ†’
ancient13โ€“7-0.088%29 May โ†’
mirage6โ€“13-0.070%29 May โ†’
dust213โ€“6-0.0321%29 May โ†’
nuke7โ€“130.0317%29 May โ†’
inferno11โ€“13-0.0213%29 May โ†’
dust213โ€“90.0629%28 May โ†’
dust213โ€“40.0418%28 May โ†’
cache9โ€“13-0.0219%27 May โ†’
dust212โ€“12-0.0412%27 May โ†’
mirage13โ€“9-0.0511%27 May โ†’
inferno13โ€“100.0022%27 May โ†’
nuke12โ€“12-0.0511%27 May โ†’
dust28โ€“13-0.0916%27 May โ†’
italy5โ€“13-0.0612%25 May โ†’
office13โ€“11-0.0421%25 May โ†’
dust213โ€“10-0.049%25 May โ†’
mirage13โ€“6-0.0012%25 May โ†’
inferno13โ€“80.0022%25 May โ†’
dust213โ€“11-0.0411%25 May โ†’
nuke8โ€“13-0.0811%23 May โ†’
dust213โ€“90.035%23 May โ†’
train12โ€“12-0.0722%23 May โ†’
dust26โ€“13-0.1117%23 May โ†’
italy13โ€“5-0.0112%23 May โ†’
mirage8โ€“13-0.0514%23 May โ†’
office13โ€“4-0.0221%23 May โ†’
dust213โ€“11-0.0524%23 May โ†’
inferno13โ€“90.0616%23 May โ†’
nuke4โ€“10.0014%22 May โ†’
mirage12โ€“12-0.0118%22 May โ†’
dust213โ€“80.0033%22 May โ†’
inferno13โ€“11-0.0112%21 May โ†’
dust210โ€“13-0.0928%21 May โ†’
mirage13โ€“9-0.0031%21 May โ†’
italy13โ€“7-0.0210%21 May โ†’
nuke13โ€“8-0.0318%20 May โ†’
mirage8โ€“130.0219%20 May โ†’
dust213โ€“10-0.0725%20 May โ†’
inferno8โ€“130.0617%20 May โ†’
italy6โ€“10.0031%20 May โ†’
nuke4โ€“13-0.1015%18 May โ†’
inferno13โ€“7-0.0514%18 May โ†’
dust28โ€“13-0.0725%18 May โ†’
mirage7โ€“13-0.0220%18 May โ†’
italy13โ€“11-0.0430%18 May โ†’
vertigo3โ€“13-0.0113%18 May โ†’
cache8โ€“13-0.0313%18 May โ†’
office13โ€“5-0.0233%18 May โ†’
italy13โ€“8-0.0215%17 May โ†’
dust27โ€“13-0.0515%17 May โ†’
inferno12โ€“12-0.0220%17 May โ†’
stronghold4โ€“13-0.064%17 May โ†’
italy9โ€“130.0424%17 May โ†’
cache11โ€“13-0.0313%17 May โ†’
office13โ€“8-0.0015%11 May โ†’
nuke2โ€“13-0.088%11 May โ†’

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone โ†’Inventory value for this account โ†’Where does this rating sit? Premier rank tiers โ†’