DogWithOnion — CS2 Stats

76561199415663152[U:1:1455397424]✓ No bans

207Tracked matches46%Win rate2024Tracked since
CSDB Rating3.9 Learning
WingmanGold Nova II
Ladder ranks via Leetify

Performance scores

Aim50
Positioning41
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY306010Last 10030%Win rateWWTWWLTLLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim5.0
Aggression0.5
Utility2.2
Positioning4.1
Opening Duels0.0
Clutch2.6

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 67% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; lower aim 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

Reaction time. 657ms 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

Aim5.0
Positioning4.1
Utility2.2
Mechanics5.9
Opening Duels0.0
Win Impact3.7

Composite 3.9/10 (Learning), 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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time664ms−6ms
first ⅓ avg 670ms → last ⅓ avg 664ms
Headshot accuracy18.1%+1.2%
first ⅓ avg 16.9% → last ⅓ avg 18.1%

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

0.16Best rating — inferno 9–2
130Biggest win — inferno
3Longest win streak
W2Current streak
55In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 57% over 14mirageWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
infernoD1841422%0.00
nukeA148657%0.00
dust2D123925%-0.04
mirageD1221017%-0.00
vertigoB115645%-0.00
anubisD92722%0.00
officeD72529%-0.03
ancientD61517%-0.06
trainC52340%0.01
overpass4040%0.01
italy110100%0.08
alpine1010%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9Matches
22%Win rate
0.63Avg K/D
56.1ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage40%0.427.3
Nuke250%0.6810.0
Vertigo10%1.0618.0
Dust21100%0.9211.0
Ancient10%0.628.0

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

Skill profile

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

18.9%Headshot accuracy
33.4%Accuracy (enemy spotted)
34.5%Spray accuracy
76.5%Counter-strafing
12.2°Preaim
657msReaction time
14.8%T opening success
22.4%CT opening success
0.29Enemies flashed / flash
1.2%Flash assists
6.75HE damage / grenade
4.61Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1662° — above the 12° mark we flag

    Aim Training
  2. 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 0.2899 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Mirage

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–80.0934%13 Aug
vertigo13–110.0119%11 Aug
inferno12–120.0213%10 Aug
office13–4-0.057%4 Aug
vertigo13–100.0317%3 Aug
vertigo6–13-0.0425%3 Aug
anubis12–12-0.0121%17 Jul
mirage10–13-0.0413%17 Jul
inferno6–9-0.0513%4 Jul
nuke13–20.058%3 Jul
dust23–13-0.0426%1 Jul
inferno12–12-0.0111%30 Jun
dust21–13-0.1814%30 Jun
nuke13–80.0215%30 Jun
ancient10–13-0.0310%22 Jun
ancient0–13-0.077%22 Jun
nuke4–50.0317%23 Apr
nuke3–13-0.0125%29 Mar
vertigo13–100.0724%28 Mar
inferno9–20.1615%26 Mar
inferno13–80.0711%25 Mar
anubis12–12-0.0112%25 Mar
mirage7–13-0.0824%25 Mar
dust23–13-0.1018%25 Mar
nuke9–20.1628%25 Mar
inferno5–9-0.126%25 Mar
inferno5–9-0.0530%24 Mar
office9–130.0227%23 Mar
vertigo3–13-0.0314%23 Mar
mirage10–13-0.0228%23 Mar
nuke13–110.0430%23 Mar
vertigo1–13-0.0414%20 Mar
dust213–60.0623%14 Mar
mirage13–50.0223%14 Mar
dust213–80.0129%9 Mar
inferno10–13-0.0438%5 Mar
train13–80.1420%3 Mar
mirage11–130.0414%3 Mar
mirage11–130.0626%2 Mar
ancient7–13-0.0912%2 Mar
inferno13–00.0722%2 Mar
mirage4–13-0.0314%28 Feb
dust212–120.0122%28 Feb
anubis3–13-0.0410%28 Feb
inferno3–13-0.0420%28 Feb
overpass4–13-0.0217%28 Feb
office4–130.0664%27 Feb
train13–11-0.0424%25 Feb
ancient3–13-0.0717%25 Feb
anubis12–120.038%25 Feb
inferno13–8-0.0313%25 Feb
vertigo13–11-0.0217%24 Feb
train11–13-0.0410%23 Feb
office12–12-0.0728%22 Feb
nuke13–7-0.063%22 Feb
train4–13-0.0511%20 Feb
office2–10-0.0214%20 Feb
nuke13–100.009%20 Feb
dust28–13-0.0520%20 Feb
inferno11–130.0120%19 Feb
ancient8–13-0.0710%19 Feb
office7–13-0.0834%19 Feb
vertigo7–13-0.0324%19 Feb
mirage2–130.0317%18 Feb
mirage13–100.0215%18 Feb
inferno7–13-0.0027%18 Feb
inferno3–130.0125%10 Feb
dust22–13-0.0711%10 Feb
office13–11-0.0721%8 Feb
anubis7–13-0.0017%8 Feb
ancient13–5-0.0421%7 Feb
anubis13–30.1212%6 Feb
italy13–60.0810%6 Feb
inferno8–130.0825%5 Feb
dust25–13-0.0314%29 Jan
inferno6–13-0.0614%26 Jan
vertigo5–13-0.0312%26 Jan
anubis13–9-0.0416%22 Jan
dust212–12-0.079%22 Jan
alpine7–13-0.0020%22 Jan
mirage6–120.0546%20 Jan
vertigo3–13-0.048%20 Jan
overpass10–130.0020%17 Jan
nuke13–30.0423%17 Jan
train7–130.0221%12 Jan
nuke13–6-0.0611%11 Jan
overpass4–13-0.0115%9 Jan
nuke4–9-0.106%8 Jan
overpass5–130.058%7 Jan
mirage3–13-0.0127%7 Jan
anubis9–13-0.0412%4 Jan
mirage5–13-0.0515%1 Jan
anubis7–130.035%1 Jan
nuke8–130.027%29 Dec
nuke2–8-0.0228%29 Dec
inferno12–120.0121%26 Dec
inferno10–13-0.0121%18 Dec
dust28–13-0.0619%18 Dec
vertigo13–40.0730%18 Dec
nuke12–12-0.0714%19 Nov

Match data via Leetify.

Recent teammates

Milestones

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