— CS2 Stats

76561198335954535[U:1:375688807]✓ No bans

1,130Tracked matches50%Win rate2020Tracked since
2,642Hours in CS
CSDB Rating5.0 DevelopingPassive Rifler
Ladder ranks via Leetify

Performance scores

Aim73
Positioning31
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY42526Last 10042%Win rateWWWTTWLLLW

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.3
Aggression2.4
Utility5.1
Positioning3.1
Opening Duels0.0

Style profile from tracked-match aggregates — 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 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; lower positioning profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

Reaction time. 661ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

CSDB Rating breakdown

Aim7.3
Positioning3.1
Utility5.1
Mechanics6.4
Opening Duels0.1
Win Impact5.0

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.03
first ⅓ avg -0.02 → last ⅓ avg -0.05
Reaction time656ms−46ms
first ⅓ avg 702ms → last ⅓ avg 656ms
Headshot accuracy36.5%+7.3%
first ⅓ avg 29.2% → last ⅓ avg 36.5%

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

0.14Best rating — italy 5–0
131Biggest win — office
5Longest win streak
W3Current streak
55In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 56% over 9dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
officeB52272552%-0.04
dust2D91811%-0.03
infernoA95456%-0.03
ancientD62433%-0.02
nukeD62433%-0.03
mirage42250%-0.03
overpass31233%-0.01
vertigo3030%-0.02
alpine21150%-0.04
anubis2020%-0.03
italy21150%0.07
cache1010%-0.09
train1010%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

141,920Lifetime kills
1.36K/D · Top 10% of tracked players
7,123Matches
53.2%Match win rate · Top 10% of tracked players
43.0%Headshot %
15.4%Shot accuracy · Top 50% of tracked players
18,903MVPs
2,642Hours (in match)
3,769Bombs planted
701Bombs defused

Most-used weapons

AK-4726,529
AWP21,677
SSG 088,173
XM10147,232
Nova3,372
MAG-73,015

Lifetime map wins

43,040office
4,988dust2
2,929inferno
2,397italy
884nuke
604train
327lake
326cbble

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

Skill profile

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

37.1%Headshot accuracy
29.8%Accuracy (enemy spotted)
27.6%Spray accuracy
78.8%Counter-strafing
9.7°Preaim
661msReaction time
17.5%T opening success
30.4%CT opening success
0.46Enemies flashed / flash
1.3%Flash assists
12.85HE damage / grenade
5.96Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — 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 0.4591 — below the 0.5 mark we flag

    Grenade Lineups
  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 17.5291% — below the 40% mark we flag

Spend your practice time on Dust 2

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
office13–7-0.0950%4 Aug
office13–4-0.1120%4 Aug
office13–4-0.0226%1 Aug
office12–12-0.0631%1 Aug
office12–120.0032%26 Jul
office13–7-0.1029%23 Jul
office11–13-0.0343%24 Jun
dust25–130.0124%13 Jun
ancient6–13-0.0133%13 Jun
office13–10-0.0744%11 Jun
office13–4-0.0957%11 Jun
office13–6-0.0510%11 Jun
office13–3-0.0331%11 Jun
office13–10-0.0611%11 Jun
alpine7–13-0.0930%11 Jun
office13–8-0.0556%11 Jun
office3–13-0.0326%8 Jun
office13–7-0.0458%8 Jun
inferno13–6-0.0328%9 May
ancient13–8-0.0118%9 May
dust25–13-0.0737%9 May
anubis10–13-0.0726%9 May
cache4–13-0.0938%9 May
office4–13-0.0871%5 May
office2–13-0.180%25 Apr
office7–13-0.1080%23 Apr
overpass2–13-0.0633%23 Apr
office5–13-0.0867%23 Apr
italy11–130.0060%22 Apr
italy5–00.1425%22 Apr
nuke9–13-0.0614%22 Apr
office8–13-0.0643%10 Apr
office13–6-0.0250%10 Apr
office4–13-0.0463%28 Mar
office13–10-0.0636%28 Mar
office13–9-0.0127%28 Mar
office13–100.0145%28 Mar
office10–13-0.0950%22 Mar
office13–11-0.0338%22 Mar
office13–90.0431%22 Mar
office13–10-0.0530%22 Mar
office3–130.0540%19 Mar
office13–40.0128%19 Mar
office13–10-0.0321%19 Mar
office9–13-0.0436%16 Mar
office8–13-0.0137%16 Mar
office13–30.0143%16 Mar
office7–13-0.0362%16 Mar
ancient5–13-0.1226%22 Feb
dust24–13-0.0120%22 Feb
nuke16–14-0.0521%21 Feb
office13–6-0.0535%21 Feb
office7–13-0.0211%15 Feb
vertigo4–13-0.0312%15 Feb
vertigo11–13-0.0312%15 Feb
vertigo6–13-0.006%14 Feb
office13–11-0.1124%6 Feb
dust213–90.0132%1 Feb
alpine13–110.0119%1 Feb
office13–10.0342%1 Feb
dust28–13-0.0215%1 Feb
anubis9–130.0015%31 Jan
mirage13–80.0123%31 Jan
dust22–9-0.0822%31 Jan
ancient13–7-0.0410%31 Jan
inferno1–13-0.0833%24 Jan
nuke2–130.0632%24 Jan
office12–120.0816%24 Jan
ancient4–130.0640%24 Jan
nuke13–90.0021%24 Jan
inferno11–4-0.0627%24 Jan
mirage5–13-0.0818%22 Jan
dust26–13-0.0940%22 Jan
office12–12-0.0940%22 Jan
office6–13-0.0120%21 Jan
ancient3–13-0.0220%18 Jan
inferno8–13-0.0315%18 Jan
mirage9–13-0.0452%18 Jan
nuke5–13-0.0817%18 Jan
dust27–130.0144%18 Jan
office13–50.0664%17 Jan
office13–2-0.01100%17 Jan
office9–130.0022%17 Jan
dust26–13-0.0326%17 Jan
inferno12–12-0.0338%17 Jan
inferno13–40.0643%17 Jan
overpass13–10-0.0120%15 Jan
office5–13-0.0510%12 Jan
office3–13-0.070%12 Jan
inferno13–3-0.0238%12 Jan
office6–13-0.0637%9 Jan
office11–130.0230%9 Jan
office13–110.0230%9 Jan
office6–13-0.0617%4 Jan
inferno14–16-0.0431%4 Jan
mirage13–90.0116%4 Jan
train7–13-0.0119%4 Jan
overpass15–150.0324%4 Jan
nuke6–13-0.0415%27 Dec
inferno13–8-0.0514%27 Dec

Match data via Leetify.

Recent teammates

Milestones

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