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๐”šโ˜ ๐”ฏ๐”ช๐’ต

๐”šโ˜ ๐”ฏ๐”ช๐’ต โ€” CS2 Stats

DE76561198371264165[U:1:410998437]Steam profile โ†—โœ“ No bans

6,532Tracked matches43%Win rate2020Tracked since
16,075Hours in CS36Hrs last 2 wks
CSDB Rating2.4 LearningPositional Player
Premier CS Rating1,955Grey band ยท top ~91.7% of ranked players (population est.)
CSDB Leaderboard#193882 of 242472 tracked
WingmanSilver I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+87Premier CS Rating ยท 1,868 โ†’ 1,955
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. 22 days played since 26 Aug 2026. 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†’

Rating over time

Premier CS Rating: 1,955 +729 26 Aug โ€“ 24 Sept ยท 22 days played
1,0002,126peak 2,12626 Aug24 Sept
2,206Peak Premier in tracked matches
22Days played since 2026-08-26

Premier CS Rating

  • 171 below peak (2,126)
  • +729 over 30 days ยท improving
  • Next: Light Blue band at 5,000 โ€” 3,045 to go

Premier comes from this profileโ€™s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,644), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate33.4%38.2%39.9%6.5% short
Shot accuracy13.0%3.6%6.9%above
Kill/death ratio0.690.830.920.22 short
Match win rate36.2%40.2%42.3%6.1% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Light Blue band median in relative terms โ€” not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG๐”šโ˜ ๐”ฏ๐”ช๐’ตPREMIER1,955 ยท Grey bandcsdb.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

Aim12
Positioning46
Utility20

0โ€“100 skill scores via Leetify.

Recent form

STEADY43โ€“55โ€“2Last 10043%Win rateWLWWWLLLWW

Last 10 vs previous 10: +30pp win rate ยท +0.01 avg rating ยท โˆ’6.2pp headshot accuracy ยท โˆ’103ms reaction

Win rate up 30pp across the last 10 against the 10 before โ€” more than a 10-match window's normal noise (ยฑ20pp).

Last 5 ยท 10 ยท 20 matches

Last 5

  • 4โ€“1 ยท 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 8%
  • Avg reaction 661ms

Last 10

  • 6โ€“4 ยท 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 8%
  • Avg reaction 695ms

Last 20

  • 9โ€“11 ยท 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 746ms

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: Positional Player โ€” Positioning stands above the rest of this profile (+1.3 against its own average).

Aim1.2
Utility2.0
Positioning4.6
Opening Duels3.3

Limited utility dependence

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

donk

Plays most like donk 63% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T openings. 61% T opening-duel success โ€” entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 36% on CT โ€” first contacts on the defending side are being lost.

Reaction time. 751ms from enemy-visible to first shot leaves fights decided before they start โ€” warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped โ€” moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.2
Positioning4.6
Utility2.0
Mechanics2.5
Opening Duels4.6
Win Impact2.8

Composite 2.4/10 (Learning), 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-0.01โˆ’0.01
first โ…“ avg 0.00 โ†’ last โ…“ avg -0.01
Reaction time756msโˆ’50ms
first โ…“ avg 806ms โ†’ last โ…“ avg 756ms
Headshot accuracy10.2%โˆ’1.2%
first โ…“ avg 11.4% โ†’ last โ…“ avg 10.2%

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

0.11Best match rating ยท 13โ€“5 ยท anubis, 9 Sept โ†’
23%Best headshot accuracy ยท 8โ€“13 ยท inferno, 7 Sept โ†’
500msFastest reaction time ยท 13โ€“5 ยท office, 7 Sept โ†’
13โ€“2Biggest win ยท nuke, 26 Aug โ†’

Across the last 100 tracked matches.

Highlights

5Longest win streak
10โ€“3In matches decided by โ‰ค2 rounds
6Overtime games

Map breakdown

nukeBest map ยท 60% over 10ancientWeakest map ยท 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B5023โ€“2746%0.00
mirageC114โ€“736%-0.02
nukeA106โ€“460%-0.01
ancientD103โ€“730%-0.03
infernoC73โ€“443%-0.01
anubisB63โ€“350%-0.00
cacheโ€”30โ€“30%-0.03
officeโ€”31โ€“233%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

219,771Lifetime kills
0.69K/D
15,532Matches
36.2%Match win rate
33.4%Headshot %
13.0%Shot accuracy ยท Top 25% of Grey band
25,433MVPs
6,387Hours (in match)
13,246Bombs planted
2,085Bombs defused

Most-used weapons

AK-4732,897
SG 55330,891
AUG29,170
M4A4 / M4A1-S27,383
P2000 / USP-S15,363
AWP14,236
Glock-1812,137
Galil AR11,638
FAMAS10,791
P903,981

Lifetime map wins

126,244dust2
7,016inferno
3,044nuke
949office
867vertigo
788train
214italy
140dust

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

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.

10.4%Headshot accuracy
30.9%Accuracy (enemy spotted)
27.8%Spray accuracy
61.4%Counter-strafing
13.9ยฐPreaim
751msReaction time
61.0%T opening success
36.1%CT opening success
0.29Enemies flashed / flash
8.9%Flash assists
8.24HE damage / grenade
0.77Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.908ยฐ โ€” above the 12ยฐ mark we flag

    Aim Training โ†’
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads โ€” usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.3998% โ€” below the 15% mark we flag

    Aim Training โ†’
  3. Best CS2 Settings

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

    Reaction time 751.3021ms โ€” above the 700ms mark we flag

    Aim Training โ†’
Spend your practice time on Ancient

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

30% win rate across 10 tracked games โ€” your weakest map with enough games to be worth reading into.

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

Recent matches

MapScoreRatingHS%Date
mirage13โ€“110.0317%24 Sept โ†’
nuke1โ€“13-0.063%24 Sept โ†’
mirage13โ€“60.0311%24 Sept โ†’
nuke13โ€“40.082%23 Sept โ†’
ancient13โ€“8-0.026%23 Sept โ†’
nuke3โ€“13-0.049%23 Sept โ†’
dust24โ€“11-0.030%22 Sept โ†’
dust29โ€“13-0.017%22 Sept โ†’
dust213โ€“8-0.0210%22 Sept โ†’
dust213โ€“7-0.0111%22 Sept โ†’
dust26โ€“13-0.0511%21 Sept โ†’
dust213โ€“50.0620%21 Sept โ†’
mirage3โ€“13-0.048%21 Sept โ†’
anubis4โ€“130.025%21 Sept โ†’
dust213โ€“70.0717%21 Sept โ†’
mirage11โ€“13-0.0410%21 Sept โ†’
ancient1โ€“13-0.1019%20 Sept โ†’
dust26โ€“13-0.078%20 Sept โ†’
dust210โ€“13-0.0322%20 Sept โ†’
dust213โ€“10-0.0016%19 Sept โ†’
ancient10โ€“13-0.0412%19 Sept โ†’
mirage6โ€“13-0.0010%19 Sept โ†’
dust210โ€“13-0.048%19 Sept โ†’
nuke13โ€“50.087%19 Sept โ†’
inferno13โ€“7-0.0218%18 Sept โ†’
anubis13โ€“30.018%18 Sept โ†’
dust213โ€“8-0.043%18 Sept โ†’
dust22โ€“13-0.070%18 Sept โ†’
nuke7โ€“13-0.078%18 Sept โ†’
dust28โ€“13-0.0614%18 Sept โ†’
dust213โ€“90.1119%18 Sept โ†’
dust25โ€“130.076%18 Sept โ†’
dust28โ€“130.0210%18 Sept โ†’
dust29โ€“20.049%18 Sept โ†’
dust23โ€“13-0.0718%18 Sept โ†’
dust25โ€“13-0.049%17 Sept โ†’
nuke13โ€“8-0.017%17 Sept โ†’
dust25โ€“13-0.0015%17 Sept โ†’
dust213โ€“110.0411%16 Sept โ†’
ancient7โ€“13-0.0110%16 Sept โ†’
dust24โ€“130.028%16 Sept โ†’
inferno9โ€“13-0.029%16 Sept โ†’
cache7โ€“130.026%16 Sept โ†’
anubis3โ€“13-0.0413%15 Sept โ†’
anubis10โ€“13-0.059%14 Sept โ†’
mirage7โ€“13-0.087%14 Sept โ†’
mirage16โ€“14-0.047%14 Sept โ†’
ancient8โ€“13-0.0810%14 Sept โ†’
mirage5โ€“13-0.068%14 Sept โ†’
dust215โ€“15-0.0622%9 Sept โ†’
anubis13โ€“50.1120%9 Sept โ†’
anubis16โ€“14-0.088%9 Sept โ†’
nuke13โ€“10-0.116%9 Sept โ†’
ancient9โ€“130.0010%9 Sept โ†’
dust26โ€“130.008%9 Sept โ†’
dust27โ€“13-0.0112%9 Sept โ†’
dust26โ€“130.099%9 Sept โ†’
dust213โ€“100.0417%9 Sept โ†’
office3โ€“13-0.0320%7 Sept โ†’
office8โ€“13-0.1220%7 Sept โ†’
dust213โ€“11-0.0113%7 Sept โ†’
office13โ€“5-0.000%7 Sept โ†’
mirage11โ€“130.0110%7 Sept โ†’
dust216โ€“140.0013%7 Sept โ†’
inferno8โ€“13-0.0023%7 Sept โ†’
dust28โ€“130.0611%6 Sept โ†’
nuke10โ€“13-0.036%6 Sept โ†’
cache1โ€“13-0.098%4 Sept โ†’
ancient7โ€“13-0.029%4 Sept โ†’
dust29โ€“130.0814%4 Sept โ†’
dust26โ€“13-0.035%3 Sept โ†’
ancient13โ€“50.029%3 Sept โ†’
cache14โ€“16-0.0210%3 Sept โ†’
dust215โ€“150.048%3 Sept โ†’
dust213โ€“110.067%3 Sept โ†’
ancient5โ€“13-0.0714%2 Sept โ†’
dust213โ€“100.0221%2 Sept โ†’
dust213โ€“90.0113%2 Sept โ†’
dust22โ€“13-0.0614%2 Sept โ†’
dust25โ€“13-0.086%2 Sept โ†’
mirage13โ€“40.0215%2 Sept โ†’
inferno6โ€“13-0.0512%2 Sept โ†’
dust213โ€“110.0317%1 Sept โ†’
dust213โ€“50.0214%1 Sept โ†’
dust213โ€“100.0912%1 Sept โ†’
dust213โ€“100.005%1 Sept โ†’
dust213โ€“110.036%31 Aug โ†’
dust26โ€“13-0.053%31 Aug โ†’
ancient9โ€“10.008%31 Aug โ†’
dust213โ€“50.0418%31 Aug โ†’
inferno9โ€“130.0610%29 Aug โ†’
dust213โ€“3-0.007%29 Aug โ†’
dust213โ€“90.0412%29 Aug โ†’
inferno13โ€“6-0.013%29 Aug โ†’
dust21โ€“13-0.0721%27 Aug โ†’
dust28โ€“130.0019%27 Aug โ†’
nuke13โ€“40.0818%26 Aug โ†’
mirage7โ€“130.018%26 Aug โ†’
nuke13โ€“2-0.0516%26 Aug โ†’
inferno13โ€“11-0.0313%26 Aug โ†’

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone โ†’Inventory value for this account โ†’Where does this rating sit? Premier rank tiers โ†’

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