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Dog With A Blog

Dog With A Blog — CS2 Stats

AF76561198112492271[U:1:152226543]Steam profile ↗

404Tracked matches50%Win rate2020Tracked since
1,149Hours in CS1Hrs last 2 wks
CSDB Rating3.8 Learning
Ladder ranks via Leetify

Performance scores

Aim44
Positioning41
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateLWLLLLWLWW

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

Player DNA

Aim4.4
Aggression3.2
Utility2.6
Positioning4.1
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 72% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Reaction time. 654ms 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

Aim4.4
Positioning4.1
Utility2.6
Mechanics5.1
Opening Duels0.2
Win Impact5.0

Composite 3.8/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time678ms−13ms
first ⅓ avg 691ms → last ⅓ avg 678ms
Headshot accuracy20.3%−0.1%
first ⅓ avg 20.4% → last ⅓ avg 20.3%

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

0.22Best rating — dust2 13–4
13–0Biggest win — dust2
5Longest win streak
6–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

overpassBest map · 78% over 9nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B3819–1950%-0.01
mirageC207–1335%-0.03
overpassS97–278%-0.01
ancientD72–529%-0.03
infernoD72–529%-0.02
anubisB63–350%-0.02
nukeD61–517%-0.03
cacheA53–260%0.00
vertigo—20–20%-0.08

Across the last 100 tracked matches.

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

Lifetime stats

37,501Lifetime kills
0.99K/D
1,757Matches
41.4%Match win rate
38.5%Headshot %
20.1%Shot accuracy · Top 5% of tracked players
2,998MVPs
718Hours (in match)
1,515Bombs planted
363Bombs defused

Most-used weapons

AK-4710,809
M4A4 / M4A1-S5,227
AWP4,448
Desert Eagle2,595
P2000 / USP-S2,035
Glock-181,508
P90969
Galil AR778
MP7716
SG 553706

Lifetime map wins

7,342dust2
2,568inferno
408nuke
136train
67vertigo
49lake
44safehouse
25cbble

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.

19.9%Headshot accuracy
27.6%Accuracy (enemy spotted)
26.1%Spray accuracy
72.8%Counter-strafing
8.8°Preaim
654msReaction time
24.8%T opening success
31.7%CT opening success
0.46Enemies flashed / flash
6.0%Flash assists
16.29HE damage / grenade
1.92Flashes / 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 0.4642 — 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 24.7943% — below the 40% mark we flag

Spend your practice time on Nuke

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 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient14–16-0.0316%16 Aug →
inferno13–70.0923%17 Jul →
cache7–13-0.0313%9 Jul →
inferno10–13-0.0327%27 Jun →
mirage10–13-0.0729%21 Jun →
mirage8–130.0121%19 Jun →
mirage6–1-0.0111%19 Jun →
mirage8–13-0.017%12 Jun →
overpass13–9-0.0316%7 Jun →
dust213–00.0247%5 Jun →
dust28–13-0.0028%29 May →
anubis13–3-0.0341%21 May →
ancient8–13-0.0030%21 May →
overpass13–90.0920%18 May →
dust28–130.0327%18 May →
mirage16–14-0.039%16 May →
dust24–13-0.0620%16 May →
dust213–50.0115%15 May →
mirage10–13-0.0513%11 May →
dust213–10-0.0424%11 May →
dust210–13-0.0412%10 May →
dust29–13-0.0715%9 May →
ancient11–13-0.0631%8 May →
dust213–50.0319%8 May →
mirage13–7-0.0519%8 May →
cache13–11-0.0222%7 May →
anubis13–8-0.0114%7 May →
dust215–15-0.0910%2 May →
dust215–15-0.0613%2 May →
cache13–110.0125%30 Apr →
cache7–13-0.0915%30 Apr →
cache13–60.1323%29 Apr →
ancient13–11-0.0214%26 Apr →
mirage13–16-0.0715%26 Apr →
dust26–13-0.0423%25 Apr →
mirage13–80.025%25 Apr →
anubis13–8-0.0314%24 Apr →
dust215–15-0.0116%24 Apr →
dust23–13-0.088%24 Apr →
nuke11–130.0418%24 Apr →
mirage7–13-0.0520%24 Apr →
dust211–13-0.0310%23 Apr →
dust29–13-0.0419%22 Apr →
anubis10–13-0.0118%22 Apr →
dust213–7-0.0514%12 Apr →
mirage7–13-0.0419%12 Apr →
nuke7–13-0.0822%11 Apr →
inferno10–13-0.0321%4 Apr →
mirage11–13-0.0424%4 Apr →
mirage9–13-0.0621%2 Apr →
dust25–13-0.0321%2 Apr →
dust213–6-0.0517%8 Mar →
nuke8–13-0.1035%1 Mar →
dust23–13-0.0143%14 Feb →
mirage6–13-0.0130%14 Feb →
dust213–9-0.0411%8 Feb →
mirage13–9-0.0311%8 Feb →
mirage4–13-0.0722%12 Jan →
dust213–8-0.0713%12 Jan →
nuke9–13-0.0519%13 Dec →
overpass14–16-0.0523%11 Dec →
dust213–11-0.0326%11 Dec →
overpass13–11-0.0318%14 Nov →
overpass13–50.0115%14 Nov →
inferno8–13-0.0813%9 Nov →
dust213–40.0719%9 Nov →
nuke2–13-0.0525%23 Oct →
overpass8–13-0.0225%13 Oct →
inferno7–13-0.0128%27 Jun →
dust213–9-0.0221%4 May →
inferno4–10.0336%4 May →
anubis11–13-0.0420%15 Apr →
ancient13–60.0025%10 Aug →
dust29–13-0.0418%13 Jun →
dust212–12-0.1021%13 Jun →
dust21–13-0.0617%9 Jun →
dust213–6-0.0110%9 Jun →
dust213–9-0.0428%5 Jun →
dust23–13-0.088%5 Jun →
dust213–40.2221%3 Jun →
dust213–50.1021%2 Jun →
dust213–10.0618%2 Jun →
dust213–20.028%2 Jun →
dust213–40.0625%1 Jun →
dust210–130.0218%29 May →
dust213–10.0215%29 May →
vertigo2–13-0.1137%21 Nov →
overpass13–10-0.0611%13 Nov →
inferno3–13-0.0918%26 Sept →
ancient3–13-0.0518%25 Sept →
anubis15–15-0.0310%9 Sept →
mirage4–13-0.0713%8 Sept →
overpass13–7-0.0033%8 Sept →
vertigo1–13-0.0623%7 Sept →
mirage13–90.0619%6 Sept →
mirage13–90.0118%5 Sept →
overpass13–90.0615%4 Sept →
ancient10–13-0.0417%3 Sept →
nuke13–100.0546%3 Sept →
mirage5–13-0.0315%3 Sept →

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 →

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