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๐“›๐“ฒ๐“ธ๐“ž๐“ธ โ€” CS2 Stats

BA76561199001320997[U:1:1041055269]Steam profile โ†—โœ“ No bans

3,374Tracked matches43%Win rate2023Tracked since
CSDB Rating3.7 LearningPositional Player
CSDB Leaderboard#101227 of 248519 tracked
FaceitLevel 6 ยท 1,460 ELOTop 54.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,491 -4,671 17 May โ€“ 21 Jun ยท 21 days played
18,25423,316peak 23,31617 May21 Jun
23,544Peak Premier in tracked matches
1,460Highest Faceit ELO seen on CSDB
27Days played since 2026-05-16

Faceit ELO

  • At peak โ€” 1,460
  • Next: Level 8 at 1,531 โ€” 71 to go
  • Reached: Level 7 ยท Level 6 ยท Level 5 ยท Level 4

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

Share this profile

CSDB.GG๐“›๐“ฒ๐“ธ๐“ž๐“ธFACEITLevel 6 ยท 1,460 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,460csdb.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

Aim56
Positioning56
Utility23

0โ€“100 skill scores via Leetify.

Recent form

STEADY45โ€“52โ€“3Last 10045%Win rateWLWWWWLLWL

Last 10 vs previous 10: +10pp win rate ยท +0.03 avg rating ยท +1.2pp headshot accuracy ยท +19ms reaction

Win rate +10pp across the last 10 against the 10 before โ€” within the normal variation of a 10-match window (ยฑ20pp), so no real shift yet.

Last 5 ยท 10 ยท 20 matches

Last 5

  • 4โ€“1 ยท 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 611ms

Last 10

  • 6โ€“4 ยท 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 584ms

Last 20

  • 11โ€“9 ยท 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 574ms

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 (+1.7 against its own average).

Aim5.6
Utility2.3
Positioning5.6
Opening Duels3.2
Clutch4.4

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

s1mple

Plays most like s1mple 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game โ€” the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 48% on CT to 31% on T โ€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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 64% 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

Aim5.6
Positioning5.6
Utility2.3
Mechanics3.2
Opening Duels2.4
Win Impact2.8

Composite 3.7/10 (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 rating0.00โˆ’0.00
first โ…“ avg 0.00 โ†’ last โ…“ avg 0.00
Reaction time577msโˆ’28ms
first โ…“ avg 606ms โ†’ last โ…“ avg 577ms
Headshot accuracy18.6%โˆ’3.5%
first โ…“ avg 22.1% โ†’ last โ…“ avg 18.6%

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

0.30Best match rating ยท 9โ€“0 ยท inferno, 20 Jun โ†’
41%Best headshot accuracy ยท 13โ€“0 ยท ancient, 9 Jun โ†’
375msFastest reaction time ยท 7โ€“8 ยท ancient, 9 Jun โ†’
13โ€“0Biggest win ยท dust2, 9 Jun โ†’

Across the last 100 tracked matches.

Highlights

6Longest win streak
6โ€“6In matches decided by โ‰ค2 rounds
8Overtime games

Map breakdown

ancientBest map ยท 68% over 19infernoWeakest map ยท 19% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB2512โ€“1348%0.01
dust2C219โ€“1243%-0.01
ancientS1913โ€“668%0.00
infernoD163โ€“1319%-0.00
nukeD93โ€“633%-0.02
anubisS64โ€“267%0.05
cacheโ€”20โ€“20%-0.02
overpassโ€”11โ€“0100%0.01
trainโ€”10โ€“10%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

483Matches
51%Win rate
0.99Avg K/D
69.0ADR
52%Headshot %

Clutches & streaks

42%1v1 clutch win
15%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage16152%1.0313.8
Inferno9457%0.9714.1
Dust28555%0.8812.9
Ancient6949%0.9914.1
Anubis4939%1.2113.6
Nuke1145%0.7411.7
Vertigo825%0.7615.0
Train425%0.8013.8

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.

18.6%Headshot accuracy
31.9%Accuracy (enemy spotted)
34.9%Spray accuracy
64.2%Counter-strafing
8.9ยฐPreaim
578msReaction time
30.5%T opening success
48.5%CT opening success
0.30Enemies flashed / flash
3.7%Flash assists
6.43HE damage / grenade
2.67Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2973 โ€” below the 0.5 mark we flag

    Grenade Lineups โ†’
  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 30.5067% โ€” below the 40% mark we flag

Spend your practice time on Inferno

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

19% win rate across 16 tracked games โ€” your weakest map with enough games to be worth reading into.

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

Recent matches

MapScoreRatingHS%Date
mirage13โ€“60.0420%26 Jul โ†’
cache13โ€“160.0118%25 Jul โ†’
ancient13โ€“7-0.0013%25 Jul โ†’
mirage13โ€“30.0423%25 Jul โ†’
dust216โ€“14-0.0113%21 Jun โ†’
nuke13โ€“40.0229%20 Jun โ†’
nuke10โ€“13-0.0321%20 Jun โ†’
inferno8โ€“13-0.0321%20 Jun โ†’
inferno9โ€“00.3013%20 Jun โ†’
mirage10โ€“13-0.0119%16 Jun โ†’
overpass13โ€“100.0111%16 Jun โ†’
nuke11โ€“13-0.0121%16 Jun โ†’
mirage10โ€“130.0414%15 Jun โ†’
mirage10โ€“13-0.0214%14 Jun โ†’
dust21โ€“130.0222%14 Jun โ†’
dust25โ€“13-0.128%14 Jun โ†’
mirage13โ€“100.0526%14 Jun โ†’
dust213โ€“80.0412%14 Jun โ†’
dust213โ€“60.0620%14 Jun โ†’
ancient13โ€“10-0.0530%14 Jun โ†’
dust211โ€“13-0.0517%13 Jun โ†’
inferno6โ€“13-0.0423%13 Jun โ†’
ancient13โ€“160.0317%13 Jun โ†’
inferno13โ€“9-0.0320%13 Jun โ†’
dust29โ€“130.0227%13 Jun โ†’
ancient13โ€“10-0.0519%11 Jun โ†’
dust28โ€“13-0.0419%11 Jun โ†’
ancient13โ€“8-0.0413%11 Jun โ†’
inferno3โ€“13-0.0522%11 Jun โ†’
nuke11โ€“13-0.0220%11 Jun โ†’
mirage6โ€“13-0.0214%11 Jun โ†’
nuke13โ€“80.0213%11 Jun โ†’
inferno4โ€“13-0.0023%10 Jun โ†’
dust29โ€“13-0.0514%10 Jun โ†’
ancient2โ€“13-0.0519%10 Jun โ†’
inferno5โ€“13-0.0618%10 Jun โ†’
dust211โ€“6-0.0819%10 Jun โ†’
mirage7โ€“130.0210%10 Jun โ†’
mirage10โ€“13-0.0410%10 Jun โ†’
ancient16โ€“130.0515%9 Jun โ†’
dust23โ€“13-0.1019%9 Jun โ†’
dust213โ€“00.010%9 Jun โ†’
ancient11โ€“130.0122%9 Jun โ†’
ancient9โ€“13-0.0315%9 Jun โ†’
ancient7โ€“8-0.0318%9 Jun โ†’
dust213โ€“6-0.006%9 Jun โ†’
ancient13โ€“00.0941%9 Jun โ†’
ancient13โ€“7-0.0116%7 Jun โ†’
ancient13โ€“60.0717%7 Jun โ†’
mirage13โ€“40.1115%7 Jun โ†’
inferno7โ€“130.0325%7 Jun โ†’
nuke6โ€“130.0118%7 Jun โ†’
mirage13โ€“80.008%7 Jun โ†’
mirage3โ€“13-0.0429%7 Jun โ†’
inferno4โ€“9-0.0514%7 Jun โ†’
nuke0โ€“9-0.2419%7 Jun โ†’
inferno10โ€“130.0519%6 Jun โ†’
anubis13โ€“10.0916%30 May โ†’
train11โ€“13-0.016%30 May โ†’
cache5โ€“13-0.0619%30 May โ†’
mirage10โ€“13-0.0115%30 May โ†’
nuke12โ€“120.0519%30 May โ†’
ancient13โ€“110.0122%30 May โ†’
nuke13โ€“110.0421%29 May โ†’
dust23โ€“13-0.0211%29 May โ†’
anubis13โ€“50.0116%29 May โ†’
dust211โ€“130.1016%29 May โ†’
anubis13โ€“3-0.0117%29 May โ†’
dust26โ€“13-0.0422%28 May โ†’
inferno13โ€“20.0135%28 May โ†’
anubis13โ€“30.1630%27 May โ†’
inferno0โ€“5-0.0325%27 May โ†’
mirage13โ€“11-0.0221%27 May โ†’
inferno10โ€“13-0.0122%27 May โ†’
anubis9โ€“130.0425%27 May โ†’
ancient10โ€“60.1123%27 May โ†’
mirage13โ€“3-0.0321%26 May โ†’
mirage16โ€“130.0419%26 May โ†’
anubis10โ€“130.0216%26 May โ†’
dust213โ€“8-0.0511%26 May โ†’
mirage13โ€“9-0.0229%25 May โ†’
dust29โ€“130.0220%25 May โ†’
ancient13โ€“4-0.0321%25 May โ†’
dust216โ€“13-0.0314%24 May โ†’
ancient5โ€“13-0.0523%24 May โ†’
inferno8โ€“13-0.0233%23 May โ†’
mirage13โ€“60.0421%23 May โ†’
ancient13โ€“90.0318%23 May โ†’
mirage12โ€“12-0.0316%22 May โ†’
mirage9โ€“130.0116%20 May โ†’
mirage12โ€“120.0421%20 May โ†’
mirage16โ€“130.0918%20 May โ†’
inferno9โ€“130.0038%20 May โ†’
ancient7โ€“130.0029%19 May โ†’
mirage5โ€“13-0.0511%19 May โ†’
inferno5โ€“13-0.0819%18 May โ†’
mirage7โ€“13-0.0427%18 May โ†’
dust213โ€“80.0519%17 May โ†’
dust29โ€“13-0.0228%17 May โ†’
mirage16โ€“14-0.0122%16 May 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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