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๐ฟ๐‘’๐“๐‘œ๐“Ž โ€” CS2 Stats

AU76561198273895591[U:1:313629863]Steam profile โ†—โœ“ No bans

323Tracked matches47%Win rate2021Tracked since
696Hours in CS
CSDB Rating2.1 LearningClutch Specialist
CSDB Leaderboard#189170 of 244115 tracked
FaceitLevel 1Top 100.0% 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. 49 days played since 11 Nov 2024. 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: 5,000 +553 11 Nov โ€“ 6 Dec ยท 20 days played
2,4236,445peak 6,44511 Nov6 Dec
6,445Peak Premier in tracked matches
49Days played since 2024-11-11

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 Level 1 among CSDB-tracked players (n=2,203), 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 1 medianLevel 2 medianvs Level 2
Headshot rate37.1%41.0%41.3%4.2% short
Shot accuracy9.7%14.2%12.7%2.9% short
Kill/death ratio0.530.950.950.42 short
Match win rate37.4%42.1%42.6%5.2% short

This profile sits below the typical Level 2 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 2 median in relative terms โ€” not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG๐ฟ๐‘’๐“๐‘œ๐“ŽFACEITLevel 1STANDINGTop 100.0% 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

Aim13
Positioning23
Utility24

0โ€“100 skill scores via Leetify.

Recent form

COLD47โ€“51โ€“2Last 10047%Win rateLLLLLLWLLW

Last 10 vs previous 10: โˆ’40pp win rate ยท +0.01 avg rating ยท +5.6pp headshot accuracy ยท โˆ’21ms reaction

Win rate down 40pp 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

  • 0โ€“5 ยท 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 22%
  • Avg reaction 739ms

Last 10

  • 2โ€“8 ยท 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 763ms

Last 20

  • 8โ€“12 ยท 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 773ms

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: Clutch Specialist โ€” Late-round 1vX conversion stands above the rest of this profile (+2.3 against its own average).

Aim1.3
Utility2.4
Positioning2.3
Opening Duels0.0
Clutch4.6

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

jL

Plays most like jL 70% 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

Areas to improve

Reaction time. 744ms 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 66% 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

Aim1.3
Positioning2.3
Utility2.4
Mechanics3.5
Opening Duels0.0
Win Impact3.9

Composite 2.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (ร—1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05โˆ’0.01
first โ…“ avg -0.04 โ†’ last โ…“ avg -0.05
Reaction time760ms+53ms
first โ…“ avg 707ms โ†’ last โ…“ avg 760ms
Headshot accuracy13.5%โˆ’1.9%
first โ…“ avg 15.4% โ†’ last โ…“ avg 13.5%

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 13โ€“6 ยท mirage, 20 Aug โ†’
39%Best headshot accuracy ยท 7โ€“13 ยท inferno, 12 Jan โ†’
406msFastest reaction time ยท 12โ€“12 ยท train, 16 Jul โ†’
13โ€“2Biggest win ยท ancient, 18 Sept โ†’

Across the last 100 tracked matches.

Highlights

5Longest win streak
L6Current streak
4โ€“8In matches decided by โ‰ค2 rounds
8Overtime games

Map breakdown

mirageBest map ยท 55% over 33trainWeakest map ยท 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA3318โ€“1555%-0.04
infernoB168โ€“850%-0.04
ancientB147โ€“750%-0.03
nukeC83โ€“538%-0.04
vertigoC73โ€“443%-0.04
dust2B63โ€“350%-0.07
trainD62โ€“433%-0.06
overpassC52โ€“340%-0.05
anubisโ€”10โ€“10%-0.05
cache_bโ€”10โ€“10%-0.09
italyโ€”10โ€“10%-0.01
grailโ€”11โ€“0100%-0.01
basaltโ€”10โ€“10%-0.03

Across the last 100 tracked matches.

Lifetime stats

14,636Lifetime kills
0.53K/D
1,769Matches
37.4%Match win rate
37.1%Headshot %
9.7%Shot accuracy
1,735MVPs
696Hours (in match)
888Bombs planted
171Bombs defused

Most-used weapons

AK-473,523
M4A4 / M4A1-S2,671
AWP1,308
P2000 / USP-S1,028
Desert Eagle931
Glock-18818
MP9527
Galil AR437
Knife371
MAC-10353

Lifetime map wins

1,219dust2
1,215inferno
436nuke
344vertigo
125train
71cbble
62lake
41office

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

Faceit stats

Combat

104Matches
40%Win rate
0.65Avg K/D
57.2ADR
38%Headshot %

Clutches & streaks

43%1v1 clutch win
9%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5244%0.649.8
Ancient1233%0.7611.6
Inferno1258%0.7311.2
Nuke1050%0.7010.6
Anubis812%0.488.4
Vertigo617%0.539.0
Train250%0.6511.5
Overpass10%0.428.0

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.

14.6%Headshot accuracy
25.3%Accuracy (enemy spotted)
24.3%Spray accuracy
65.9%Counter-strafing
12.3ยฐPreaim
744msReaction time
13.6%T opening success
27.6%CT opening success
0.60Enemies flashed / flash
3.2%Flash assists
4.98HE damage / grenade
5.55Flashes / 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 12.2787ยฐ 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 14.5578% 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 744.09ms โ€” above the 700ms mark we flag

    Aim Training โ†’
Spend your practice time on Train

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 6 tracked games โ€” your weakest map with enough games to be worth reading into.

Train callouts & strategy โ†’

Recent matches

MapScoreRatingHS%Date
mirage6โ€“13-0.0115%18 Aug โ†’
mirage11โ€“13-0.0727%12 Feb โ†’
nuke3โ€“13-0.0614%17 Jan โ†’
ancient1โ€“13-0.0732%6 Dec โ†’
mirage10โ€“13-0.0920%6 Dec โ†’
mirage10โ€“130.0329%1 Dec โ†’
mirage13โ€“9-0.0211%1 Dec โ†’
anubis3โ€“10-0.050%25 Oct โ†’
mirage6โ€“13-0.0813%24 Oct โ†’
dust213โ€“7-0.1121%23 Oct โ†’
inferno4โ€“13-0.0713%23 Oct โ†’
vertigo13โ€“11-0.0721%23 Oct โ†’
mirage13โ€“50.0022%23 Oct โ†’
mirage22โ€“18-0.080%19 Oct โ†’
mirage13โ€“10-0.0918%19 Oct โ†’
cache_b2โ€“13-0.0911%19 Oct โ†’
nuke11โ€“13-0.0515%19 Oct โ†’
train13โ€“11-0.1016%19 Oct โ†’
inferno13โ€“7-0.004%19 Oct โ†’
mirage9โ€“13-0.098%17 Oct โ†’
mirage11โ€“13-0.064%17 Oct โ†’
vertigo7โ€“13-0.048%17 Oct โ†’
overpass13โ€“70.0120%26 Sept โ†’
ancient13โ€“20.018%18 Sept โ†’
inferno13โ€“10-0.0818%18 Sept โ†’
nuke13โ€“6-0.075%17 Sept โ†’
mirage6โ€“13-0.0428%17 Sept โ†’
mirage6โ€“13-0.079%17 Sept โ†’
mirage13โ€“60.037%15 Sept โ†’
mirage13โ€“3-0.050%15 Sept โ†’
nuke13โ€“3-0.0110%8 Sept โ†’
mirage13โ€“10-0.094%7 Sept โ†’
mirage16โ€“13-0.0317%4 Sept โ†’
italy9โ€“13-0.0128%3 Sept โ†’
mirage13โ€“4-0.0721%2 Sept โ†’
inferno2โ€“13-0.0820%2 Sept โ†’
inferno1โ€“13-0.040%28 Aug โ†’
train6โ€“13-0.034%28 Aug โ†’
dust213โ€“6-0.0826%28 Aug โ†’
grail13โ€“8-0.0120%28 Aug โ†’
inferno13โ€“70.0111%27 Aug โ†’
mirage13โ€“90.0015%27 Aug โ†’
ancient10โ€“130.0232%23 Aug โ†’
mirage13โ€“100.0018%21 Aug โ†’
ancient13โ€“100.0020%21 Aug โ†’
mirage16โ€“12-0.086%21 Aug โ†’
ancient13โ€“60.0314%20 Aug โ†’
mirage13โ€“60.064%20 Aug โ†’
inferno11โ€“13-0.0216%20 Aug โ†’
mirage1โ€“13-0.0421%19 Aug โ†’
mirage16โ€“14-0.0519%19 Aug โ†’
overpass13โ€“6-0.0418%19 Aug โ†’
mirage13โ€“9-0.044%19 Aug โ†’
overpass15โ€“15-0.0914%18 Aug โ†’
inferno13โ€“4-0.0610%18 Aug โ†’
dust25โ€“13-0.0520%18 Aug โ†’
ancient13โ€“3-0.0512%18 Aug โ†’
ancient13โ€“9-0.0810%18 Aug โ†’
overpass4โ€“13-0.0316%18 Aug โ†’
nuke3โ€“13-0.0216%17 Aug โ†’
overpass7โ€“13-0.0835%17 Aug โ†’
inferno4โ€“130.0126%17 Aug โ†’
nuke3โ€“13-0.0225%16 Aug โ†’
train13โ€“5-0.0713%16 Aug โ†’
dust213โ€“5-0.0820%16 Aug โ†’
dust24โ€“13-0.0429%15 Aug โ†’
vertigo13โ€“9-0.0110%15 Aug โ†’
inferno16โ€“13-0.0517%8 Aug โ†’
inferno11โ€“4-0.030%19 Jul โ†’
mirage8โ€“13-0.079%19 Jul โ†’
train12โ€“12-0.070%16 Jul โ†’
ancient8โ€“13-0.0327%20 Jun โ†’
nuke13โ€“6-0.014%20 Jun โ†’
train6โ€“13-0.0627%20 Jun โ†’
vertigo13โ€“11-0.0118%11 Apr โ†’
inferno7โ€“9-0.128%24 Feb โ†’
basalt2โ€“13-0.0310%21 Feb โ†’
mirage13โ€“40.0517%9 Feb โ†’
train3โ€“10-0.0310%9 Feb โ†’
mirage4โ€“13-0.1221%31 Jan โ†’
mirage11โ€“13-0.0216%29 Jan โ†’
inferno13โ€“80.0015%29 Jan โ†’
nuke9โ€“13-0.0624%25 Jan โ†’
inferno13โ€“4-0.0316%25 Jan โ†’
mirage9โ€“13-0.0311%22 Jan โ†’
vertigo11โ€“130.000%18 Jan โ†’
vertigo3โ€“13-0.1218%18 Jan โ†’
ancient8โ€“13-0.0419%18 Jan โ†’
mirage8โ€“13-0.0422%14 Jan โ†’
mirage13โ€“9-0.0612%14 Jan โ†’
mirage13โ€“80.0018%13 Jan โ†’
inferno7โ€“13-0.0439%12 Jan โ†’
ancient13โ€“100.029%11 Jan โ†’
dust27โ€“13-0.0517%11 Jan โ†’
ancient14โ€“16-0.0421%10 Jan โ†’
inferno6โ€“13-0.0321%10 Jan โ†’
ancient12โ€“16-0.036%9 Jan โ†’
vertigo10โ€“13-0.0326%11 Nov โ†’
ancient7โ€“13-0.095%11 Nov โ†’
ancient13โ€“10-0.0223%11 Nov โ†’

Match data via Leetify.

Recent teammates

Milestones

100 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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