A Dawg — CS2 Stats

76561198359039054[U:1:398773326]

101Tracked matches50%Win rate2022Tracked since
400Hours in CS
CSDB Rating3.6 Learning
Ladder ranks via Leetify

Rating over time

1Days observed since 2026-08-29

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim27
Positioning42
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY42474Last 9345%Win rateWWLLLWLWWL

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

Player DNA

Aim2.7
Aggression3.4
Utility3.4
Positioning4.2
Opening Duels0.3

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: positioning profile, opening-fight frequency.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 41% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 755ms 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

Aim2.7
Positioning4.2
Utility3.4
Mechanics5.4
Opening Duels1.4
Win Impact5.0

Composite 3.6/10 (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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time755ms+42ms
first ⅓ avg 713ms → last ⅓ avg 755ms
Headshot accuracy15.3%−2.6%
first ⅓ avg 17.9% → last ⅓ avg 15.3%

Rolling 5-match average across the last 93 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.04Best rating — mirage 13–5
131Biggest win — mirage
6Longest win streak
W2Current streak
91In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 60% over 20ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B28131546%-0.04
mirageC23101343%-0.03
infernoA2012860%-0.03
overpassA74357%-0.03
ancientD5050%-0.04
nuke41325%-0.05
vertigo2020%-0.07
cache21150%-0.00
office110100%-0.03
anubis1010%-0.04

Across the last 93 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,659Lifetime kills
0.71K/D
567Matches
36.3%Match win rate
48.8%Headshot % · Top 50% of tracked players
16.4%Shot accuracy · Top 25% of tracked players
1,731MVPs
400Hours (in match)
598Bombs planted
168Bombs defused

Most-used weapons

Lifetime map wins

1,562dust2
684inferno
502cbble
386train
123nuke
36vertigo
28office
3shorttrain

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.

14.6%Headshot accuracy
28.0%Accuracy (enemy spotted)
27.3%Spray accuracy
74.5%Counter-strafing
10.1°Preaim
755msReaction time
21.7%T opening success
40.8%CT opening success
0.57Enemies flashed / flash
3.1%Flash assists
5.65HE damage / grenade
3.48Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.5902% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 755.4256ms — above the 700ms mark we flag

    Aim Training
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.4838 — below the 4 mark we flag

    Grenade Lineups
Spend your practice time on Ancient

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
office13–11-0.039%8 Mar
dust213–50.0116%8 Mar
dust28–13-0.0320%12 Feb
mirage10–13-0.109%12 Feb
dust29–13-0.0813%25 Jan
inferno13–7-0.0718%25 Jan
inferno8–13-0.0712%22 Jan
mirage13–10-0.0312%22 Jan
inferno13–11-0.0119%14 Jan
mirage3–13-0.0419%14 Jan
ancient13–16-0.0713%3 Jan
overpass13–60.0121%2 Jan
dust24–13-0.0715%2 Jan
dust213–8-0.029%31 Dec
mirage3–13-0.139%31 Dec
dust211–13-0.0531%31 Dec
overpass13–9-0.0112%31 Dec
mirage7–130.0218%31 Dec
inferno16–14-0.046%31 Dec
mirage10–13-0.0615%22 Dec
overpass7–13-0.0219%22 Dec
inferno13–70.018%22 Dec
inferno16–14-0.013%22 Dec
mirage13–6-0.0015%20 Dec
inferno6–10.0420%20 Dec
overpass7–13-0.0616%20 Dec
dust213–10-0.0626%20 Dec
inferno3–13-0.0532%20 Dec
dust212–3-0.0510%20 Dec
nuke9–13-0.058%19 Dec
dust213–110.0224%19 Dec
overpass15–15-0.0424%18 Dec
inferno7–13-0.0114%16 Dec
inferno2–13-0.1023%7 Dec
dust215–15-0.0423%7 Dec
inferno6–9-0.107%6 Dec
inferno8–80.0219%6 Dec
overpass9–5-0.0628%6 Dec
nuke13–11-0.0315%27 Nov
dust213–9-0.0114%25 Nov
dust213–70.0033%25 Nov
inferno13–4-0.0130%25 Nov
inferno13–9-0.0519%23 Nov
mirage4–9-0.003%23 Nov
dust213–5-0.0115%23 Nov
mirage10–13-0.118%23 Nov
dust213–8-0.0421%23 Nov
inferno7–13-0.0232%23 Nov
inferno13–6-0.0713%23 Nov
dust27–13-0.0926%23 Nov
mirage13–50.0444%22 Nov
ancient4–13-0.0513%19 Nov
mirage7–13-0.0022%17 Nov
nuke8–13-0.0524%17 Nov
dust210–13-0.0725%17 Nov
dust27–13-0.1122%16 Nov
mirage6–13-0.0726%16 Nov
ancient5–13-0.0211%26 Aug
mirage10–13-0.0424%26 Aug
mirage13–6-0.0419%25 Aug
dust29–13-0.0416%25 Aug
dust213–9-0.0430%23 Aug
nuke4–13-0.0836%23 Aug
inferno13–60.0026%23 Aug
inferno10–13-0.0313%20 May
inferno16–14-0.0416%19 May
inferno16–12-0.0323%19 May
dust210–13-0.0824%17 May
vertigo8–13-0.0022%17 May
dust23–13-0.0021%14 May
vertigo3–13-0.1315%14 May
dust213–11-0.048%14 May
ancient9–130.0113%14 May
ancient13–16-0.0512%6 May
dust213–100.0326%3 May
mirage13–10.037%3 May
anubis4–13-0.0410%3 May
dust29–130.0121%29 Apr
mirage9–13-0.0618%29 Apr
mirage1–00.000%29 Apr
mirage16–120.0125%27 Apr
mirage16–12-0.0124%27 Apr
dust210–13-0.0333%26 Apr
mirage8–13-0.0412%23 Mar
dust22–13-0.1122%23 Mar
dust213–100.018%23 Mar
overpass13–3-0.0512%12 Mar
mirage13–60.0012%21 Nov
cache16–70.0122%31 Dec
cache15–15-0.0120%27 Dec
mirage16–12-0.0018%27 Dec
mirage3–9-0.0417%16 Jul
dust23–9-0.0917%16 Mar

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 →