๐“ƒ 

๐“ƒ  โ€” CS2 Stats

76561198157568419[U:1:197302691]Steam profile โ†—

248Tracked matches33%Win rate2021Tracked since
CSDB Rating3.2 Learning
Premier CS Rating5,000Light Blue band ยท top ~78.8% of ranked players (population est.)
CSDB Leaderboard#40080 of 52375 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG๐“ƒ FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER5,000 ยท Light Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning37
Utility49

0โ€“100 skill scores via Leetify.

Recent form

STEADY41โ€“50โ€“9Last 10041%Win rateWWLLLLLWWL

Last 10 vs previous 10: +30pp win rate ยท +0.06 avg rating

Player DNA

Aim4.8
Aggression2.0
Utility4.9
Positioning3.7
Opening Duels0.0

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

Your pro match

NiKo

Plays most like NiKo 70% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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. 666ms 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 70% 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

Aim4.8
Positioning3.7
Utility4.9
Mechanics4.4
Opening Duels0.0
Win Impact0.0

Composite 3.2/10 (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’0.04
first โ…“ avg 0.03 โ†’ last โ…“ avg -0.01
Reaction time685ms+18ms
first โ…“ avg 667ms โ†’ last โ…“ avg 685ms
Headshot accuracy19.4%+4.7%
first โ…“ avg 14.7% โ†’ last โ…“ avg 19.4%

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

0.18Best rating โ€” nuke 13โ€“3
13โ€“1Biggest win โ€” overpass
5Longest win streak
W2Current streak
2โ€“6In matches decided by โ‰ค2 rounds

Map breakdown

vertigoBest map ยท 80% over 5ancientWeakest map ยท 10% over 10
MapGradePlayedRecordWin rateAvg rating
mirageD286โ€“2221%-0.01
nukeC125โ€“742%0.02
overpassD124โ€“833%-0.01
anubisA116โ€“555%0.02
ancientD101โ€“910%-0.02
cacheA85โ€“363%-0.01
trainA53โ€“260%0.04
vertigoS54โ€“180%0.03
dust2โ€”43โ€“175%-0.02
infernoโ€”32โ€“167%0.03
strongholdโ€”11โ€“0100%0.02
officeโ€”11โ€“0100%0.17

Across the last 100 tracked matches.

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

Faceit stats

Combat

41Matches
37%Win rate
0.73Avg K/D
โ€”ADR
36%Headshot %

Clutches & streaks

โ€”1v1 clutch win
โ€”1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno667%0.9514.5
Vertigo367%0.7112.3
Mirage30%0.7012.7
Overpass20%0.487.5
Anubis250%0.6810.0
Ancient250%0.6315.0
Nuke10%0.466.0

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.

19.4%Headshot accuracy
29.8%Accuracy (enemy spotted)
33.8%Spray accuracy
69.6%Counter-strafing
9.1ยฐPreaim
666msReaction time
20.2%T opening success
30.0%CT opening success
0.67Enemies flashed / flash
3.1%Flash assists
4.26HE damage / grenade
7.69Flashes / 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 20.2384% โ€” below the 40% mark we flag

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.

10% 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
cache13โ€“11-0.0516%29 Aug โ†’
cache13โ€“100.0814%26 Aug โ†’
mirage10โ€“130.0223%25 Aug โ†’
mirage11โ€“13-0.0120%24 Aug โ†’
ancient6โ€“130.0222%24 Aug โ†’
mirage10โ€“13-0.0118%23 Aug โ†’
ancient6โ€“13-0.065%19 Aug โ†’
anubis13โ€“3-0.0325%19 Aug โ†’
nuke13โ€“80.0528%12 Aug โ†’
mirage6โ€“130.0224%8 Aug โ†’
mirage0โ€“10-0.1150%8 Aug โ†’
ancient7โ€“13-0.0718%8 Aug โ†’
nuke4โ€“13-0.0820%5 Aug โ†’
mirage11โ€“13-0.0216%5 Aug โ†’
overpass6โ€“13-0.0875%5 Aug โ†’
ancient3โ€“13-0.0731%5 Aug โ†’
mirage5โ€“13-0.0320%3 Aug โ†’
mirage1โ€“13-0.050%1 Aug โ†’
overpass4โ€“13-0.0023%31 Jul โ†’
inferno13โ€“8-0.0510%31 Jul โ†’
ancient10โ€“13-0.0017%29 Jul โ†’
cache3โ€“13-0.070%28 Jul โ†’
anubis13โ€“8-0.0321%28 Jul โ†’
dust211โ€“60.018%28 Jul โ†’
cache13โ€“50.0412%8 Jul โ†’
overpass5โ€“130.0114%8 Jul โ†’
mirage11โ€“130.0116%7 Jul โ†’
ancient13โ€“60.027%7 Jul โ†’
inferno13โ€“40.1218%7 Jul โ†’
mirage7โ€“130.0116%3 Jul โ†’
nuke13โ€“70.0417%3 Jul โ†’
nuke5โ€“13-0.0025%3 Jul โ†’
mirage13โ€“60.0314%24 Jun โ†’
ancient7โ€“13-0.0327%24 Jun โ†’
dust213โ€“3-0.0510%24 Jun โ†’
train13โ€“80.0616%17 Jun โ†’
anubis0โ€“13-0.0616%17 Jun โ†’
mirage13โ€“30.0322%10 Jun โ†’
overpass13โ€“50.0319%10 Jun โ†’
anubis13โ€“60.0511%28 May โ†’
mirage13โ€“70.0322%20 May โ†’
mirage13โ€“9-0.0115%14 May โ†’
mirage11โ€“130.0120%14 May โ†’
mirage1โ€“8-0.100%8 May โ†’
overpass9โ€“13-0.0615%8 May โ†’
ancient6โ€“13-0.0518%7 May โ†’
train13โ€“20.0418%7 May โ†’
overpass13โ€“1-0.0417%7 May โ†’
ancient11โ€“130.0819%6 May โ†’
cache12โ€“12-0.0223%6 May โ†’
cache13โ€“9-0.0118%6 May โ†’
cache13โ€“6-0.029%29 Apr โ†’
cache12โ€“12-0.0523%29 Apr โ†’
train8โ€“130.0115%27 Apr โ†’
ancient2โ€“13-0.0332%27 Apr โ†’
nuke2โ€“13-0.017%22 Apr โ†’
nuke8โ€“130.028%21 Apr โ†’
vertigo13โ€“4-0.009%21 Apr โ†’
mirage13โ€“60.027%15 Apr โ†’
overpass5โ€“20.0711%15 Apr โ†’
mirage6โ€“130.0222%8 Apr โ†’
overpass12โ€“12-0.089%8 Apr โ†’
vertigo13โ€“70.036%8 Apr โ†’
mirage8โ€“13-0.0211%6 Apr โ†’
mirage9โ€“130.0519%5 Apr โ†’
anubis13โ€“80.0114%5 Apr โ†’
nuke12โ€“12-0.0414%5 Apr โ†’
anubis12โ€“120.059%5 Apr โ†’
nuke4โ€“13-0.086%4 Apr โ†’
train13โ€“20.052%4 Apr โ†’
mirage12โ€“12-0.0210%4 Apr โ†’
mirage12โ€“120.0411%4 Apr โ†’
nuke13โ€“30.1817%4 Apr โ†’
mirage6โ€“130.0320%3 Apr โ†’
anubis9โ€“130.0423%1 Apr โ†’
mirage11โ€“130.0521%31 Mar โ†’
mirage4โ€“13-0.0613%27 Mar โ†’
vertigo6โ€“20.0117%27 Mar โ†’
nuke13โ€“30.0626%27 Mar โ†’
nuke3โ€“13-0.0028%26 Mar โ†’
nuke13โ€“110.0912%26 Mar โ†’
vertigo12โ€“120.0520%25 Mar โ†’
stronghold13โ€“100.0213%21 Mar โ†’
overpass9โ€“130.0317%21 Mar โ†’
anubis2โ€“70.0212%21 Mar โ†’
overpass13โ€“50.016%21 Mar โ†’
anubis8โ€“130.0113%21 Mar โ†’
mirage13โ€“6-0.0013%21 Mar โ†’
dust213โ€“10-0.0517%20 Mar โ†’
mirage4โ€“13-0.130%18 Mar โ†’
office8โ€“20.1724%18 Mar โ†’
dust210โ€“130.0211%17 Mar โ†’
vertigo13โ€“80.0619%17 Mar โ†’
anubis13โ€“60.1111%15 Mar โ†’
mirage9โ€“130.0217%15 Mar โ†’
inferno12โ€“120.0319%13 Mar โ†’
anubis13โ€“50.0418%4 Mar โ†’
overpass5โ€“130.0910%4 Mar โ†’
overpass3โ€“13-0.0814%4 Mar โ†’
train9โ€“130.0419%25 Feb โ†’

Match data via Leetify.

Milestones

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