𝔸𝕁

𝔸𝕁 β€” CS2 Stats

MN76561198061046292[U:1:100780564]Steam profile β†—βœ“ No bans

1,764Tracked matches56%Win rate2023Tracked since
2,221Hours in CS35Hrs last 2 wks
CSDB Rating6.7 SolidAggressive Rifler
Premier CS Rating22,804Top 50% of 17,162 CSDB-tracked playersPink band Β· top ~5.4% of ranked players (population est.)
CSDB Leaderboard#8385 of 34519 tracked
FaceitLevel 9 Β· 1,421 ELOTop 20.7% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here β€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate48.3%49.0%52.0%3.8% short
Shot accuracy4.7%13.1%13.7%8.9% short
Kill/death ratio0.821.081.080.26 short
Match win rate47.3%46.9%48.8%1.4% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms β€” not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG𝔸𝕁FACEITLevel 9 Β· 1,421 ELOSTANDINGTop 20.7% of rankedPREMIER22,804 Β· Pink bandcsdb.gg/stats

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Performance scores

Aim74
Positioning56
Utility71

0–100 skill scores via Leetify.

Recent form

HOT49–45–6Last 10049%Win rateWWWWLWWWWL

Last 10 vs previous 10: +50pp win rate Β· +0.01 avg rating

Player DNA

Primary style: Aggressive Rifler β€” Takes opening fights often, backed by a strong aim profile.

Aim7.4
Aggression8.2
Utility7.1
Positioning5.6
Opening Duels3.3
Clutch4.6

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

Your pro match

jL

Plays most like jL 92% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

Reaction time. 611ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

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

CSDB Rating breakdown

Aim7.4
Positioning5.6
Utility7.1
Mechanics7.9
Opening Duels3.3
Win Impact6.9

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (Γ—1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00βˆ’0.01
first β…“ avg 0.01 β†’ last β…“ avg 0.00
Reaction time619msβˆ’19ms
first β…“ avg 639ms β†’ last β…“ avg 619ms
Headshot accuracy20.5%+3.5%
first β…“ avg 17.0% β†’ last β…“ avg 20.5%

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.

Highlights

0.13Best rating β€” anubis 13–8
13–2Biggest win β€” mirage
4Longest win streak
W4Current streak
9–11In matches decided by ≀2 rounds
15Overtime games

Map breakdown

infernoBest map Β· 65% over 26ancientWeakest map Β· 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoS2617–965%0.01
dust2B2110–1148%0.01
anubisC156–940%0.00
mirageB137–654%-0.01
nukeC104–640%0.02
ancientD92–722%0.00
cacheβ€”42–250%-0.02
eldoradoβ€”11–0100%-0.04
debrisβ€”10–10%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,406Lifetime kills
0.82K/D
2,847Matches
47.3%Match win rate Β· Top 50% of Level 9 players
48.3%Headshot %
4.7%Shot accuracy
5,722MVPs
1,255Hours (in match)
2,542Bombs planted
519Bombs defused

Most-used weapons

AK-4716,208
AWP3,219
MP92,936
MAC-102,706
Knife1,096

Lifetime map wins

6,778inferno
4,162dust2
1,756nuke
1,170vertigo
173train
85office
12italy
11sugarcane

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

Faceit stats

Combat

843Matches
51%Win rate
1.00Avg K/D
78.0ADR
47%Headshot %

Clutches & streaks

43%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno17959%1.0215.1
Mirage17145%0.9614.9
Anubis15746%0.9514.3
Dust210552%1.0215.9
Ancient9655%0.9715.0
Nuke5254%1.0014.3
Vertigo1735%0.8913.0
Overpass1771%1.1517.1

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

Skill profile

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

20.0%Headshot accuracy
34.7%Accuracy (enemy spotted)
38.6%Spray accuracy
85.5%Counter-strafing
10.2Β°Preaim
611msReaction time
37.3%T opening success
49.3%CT opening success
0.68Enemies flashed / flash
4.8%Flash assists
8.56HE damage / grenade
14.03Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” 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 37.3182% β€” below the 40% mark we flag

Spend your practice time on Ancient

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

22% win rate across 9 tracked games β€” your weakest map with enough games to be worth reading into.

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

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0213%29 Aug β†’
dust213–110.0422%29 Aug β†’
mirage13–10-0.0411%28 Aug β†’
dust213–10-0.0328%28 Aug β†’
dust211–130.0220%28 Aug β†’
dust213–80.0020%27 Aug β†’
inferno13–50.0411%27 Aug β†’
dust213–70.0122%26 Aug β†’
inferno13–110.0721%24 Aug β†’
nuke11–130.0328%23 Aug β†’
dust215–15-0.0310%23 Aug β†’
ancient5–130.1016%22 Aug β†’
inferno8–13-0.0417%22 Aug β†’
cache6–13-0.0328%20 Aug β†’
dust26–00.0726%19 Aug β†’
inferno8–13-0.029%19 Aug β†’
ancient8–130.0320%15 Aug β†’
inferno13–10-0.0021%14 Aug β†’
cache13–70.0336%14 Aug β†’
dust211–13-0.0437%14 Aug β†’
inferno14–16-0.0623%13 Aug β†’
mirage13–110.0323%13 Aug β†’
anubis9–130.0022%13 Aug β†’
anubis9–13-0.0119%24 Jul β†’
mirage9–13-0.0118%24 Jul β†’
inferno13–80.0221%24 Jul β†’
dust213–60.0422%22 Jul β†’
inferno15–150.0217%22 Jul β†’
nuke13–9-0.0112%22 Jul β†’
dust215–15-0.0516%21 Jul β†’
mirage12–16-0.0317%20 Jul β†’
dust210–13-0.0530%20 Jul β†’
cache13–80.0223%19 Jul β†’
mirage13–8-0.0220%19 Jul β†’
ancient7–13-0.0418%19 Jul β†’
mirage15–150.0215%18 Jul β†’
dust29–130.0113%18 Jul β†’
inferno13–70.0212%18 Jul β†’
anubis13–6-0.017%11 Jul β†’
dust213–90.0619%11 Jul β†’
mirage14–16-0.0220%11 Jul β†’
mirage13–2-0.0119%10 Jul β†’
mirage8–13-0.0720%10 Jul β†’
nuke13–6-0.0016%10 Jul β†’
cache2–13-0.0723%9 Jul β†’
mirage10–130.0213%9 Jul β†’
dust213–110.0418%9 Jul β†’
anubis13–60.0120%9 Jul β†’
eldorado9–7-0.0416%9 Jul β†’
debris7–90.0426%9 Jul β†’
inferno13–10-0.0013%6 Jul β†’
inferno13–9-0.0112%6 Jul β†’
nuke7–13-0.0219%6 Jul β†’
anubis12–16-0.0426%6 Jul β†’
dust26–13-0.0022%6 Jul β†’
nuke14–16-0.0119%6 Jul β†’
inferno13–10-0.0029%6 Jul β†’
inferno8–13-0.0624%6 Jul β†’
dust28–130.0419%5 Jul β†’
anubis7–13-0.0515%3 Jul β†’
dust24–13-0.0525%3 Jul β†’
inferno13–70.0626%3 Jul β†’
nuke13–50.1015%2 Jul β†’
inferno15–15-0.0311%2 Jul β†’
inferno13–8-0.0110%2 Jul β†’
ancient15–15-0.0011%2 Jul β†’
mirage13–11-0.0026%2 Jul β†’
inferno13–9-0.0112%2 Jul β†’
anubis13–80.1321%1 Jul β†’
ancient11–130.0018%30 Jun β†’
ancient13–40.0320%30 Jun β†’
anubis13–70.0811%30 Jun β†’
mirage13–80.0311%30 Jun β†’
dust210–13-0.0029%30 Jun β†’
anubis13–160.0017%29 Jun β†’
inferno13–8-0.0116%29 Jun β†’
nuke11–130.0416%29 Jun β†’
anubis13–9-0.0120%28 Jun β†’
dust213–30.0520%28 Jun β†’
inferno13–9-0.0213%28 Jun β†’
nuke5–130.0326%28 Jun β†’
inferno8–13-0.0010%28 Jun β†’
inferno13–20.0821%28 Jun β†’
ancient7–13-0.0419%28 Jun β†’
anubis9–13-0.0014%28 Jun β†’
dust23–13-0.060%28 Jun β†’
nuke8–13-0.0610%28 Jun β†’
ancient16–14-0.0310%27 Jun β†’
anubis5–13-0.0218%27 Jun β†’
nuke13–100.1118%27 Jun β†’
inferno11–130.0911%27 Jun β†’
inferno13–90.0130%27 Jun β†’
dust216–130.0223%27 Jun β†’
ancient8–13-0.0114%27 Jun β†’
mirage13–11-0.0427%27 Jun β†’
anubis10–130.0013%26 Jun β†’
inferno14–160.0319%26 Jun β†’
anubis13–8-0.0726%26 Jun β†’
inferno13–30.1020%26 Jun β†’
anubis5–13-0.009%26 Jun β†’

Match data via Leetify.

Recent teammates

Milestones

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