DingotheDogMG[DK] — CS2 Stats

DK76561197961985306[U:1:1719578]Steam profile ↗✓ No bans

829Tracked matches54%Win rate2022Tracked since

1,546Hours in CS10Hrs last 2 wks

CSDB Rating4.6 DevelopingSupport

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 829

0.0ppWin rate · 53.6% → 53.6%

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 48 days played since 16 Mar 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 12,721 +2,178 21 Mar – 6 Jul · 24 days played

13,402Peak Premier in tracked matches

48Days played since 2026-03-16

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=9,584), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 3 median	Level 4 median	vs Level 4
Headshot rate	37.7%	41.9%	42.7%	5.0% short
Shot accuracy	8.3%	12.2%	11.3%	3.0% short
Kill/death ratio	0.95	0.98	0.99	0.05 short
Match win rate	20.7%	43.3%	43.9%	23.3% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim45

Positioning42

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateWLWLLWWWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +1.2pp headshot accuracy · −76ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 13%
Avg reaction 566ms

Last 10

6–4 · 60% win rate
Avg rating -0.02
Avg headshot accuracy 16%
Avg reaction 606ms

Last 20

11–8–1 · 55% win rate
Avg rating -0.03
Avg headshot accuracy 15%
Avg reaction 643ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+3.5 against its own average).

Aim4.5

Utility6.5

Positioning4.2

Opening Duels1.1

Clutch0.2

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like device 67% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 673ms 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

Aim4.5

Positioning4.2

Utility6.5

Mechanics4.9

Opening Duels0.8

Win Impact6.2

Composite 4.6/10 (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-0.02−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time668ms−24ms

first ⅓ avg 692ms → last ⅓ avg 668ms

Headshot accuracy13.8%−1.4%

first ⅓ avg 15.2% → last ⅓ avg 13.8%

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.

Personal bests

0.10Best match rating · 13–5 · cache, 23 Aug →

27%Best headshot accuracy · 13–9 · inferno, 15 Apr →

430msFastest reaction time · 10–13 · inferno, 30 May →

13–0Biggest win · dust2, 12 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak

4–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 71% over 7cacheWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	27	13–14	48%	-0.04
nuke	A	16	10–6	63%	-0.02
anubis	C	15	6–9	40%	-0.03
ancient	B	14	7–7	50%	-0.04
dust2	C	8	3–5	38%	-0.04
mirage	S	7	5–2	71%	-0.02
cache	D	6	2–4	33%	-0.01
overpass	B	6	3–3	50%	-0.05
debris	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Lifetime stats

93,928Lifetime kills

0.95K/D

5,757Matches

20.7%Match win rate

37.7%Headshot %

8.3%Shot accuracy

2,825MVPs

1,242Hours (in match)

1,441Bombs planted

301Bombs defused

Most-used weapons

AK-4718,145

M4A4 / M4A1-S13,050

AWP4,915

MP73,582

P2000 / USP-S3,545

Galil AR3,366

Desert Eagle3,221

MP93,200

SG 5533,147

AUG3,119

Lifetime map wins

2,471inferno

1,981nuke

1,389vertigo

1,349dust2

425train

381ar_shoots

166ar_baggage

158safehouse

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

Faceit stats

Combat

34Matches

38%Win rate

0.77Avg K/D

63.9ADR

33%Headshot %

Clutches & streaks

21%1v1 clutch win

27%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	5	60%	1.13	15.0
Nuke	4	25%	0.36	5.8
Ancient	4	0%	0.54	8.8
Vertigo	2	50%	1.34	13.5
Anubis	2	100%	0.96	8.5
Train	2	50%	0.98	20.0
Overpass	1	0%	1.13	17.0
Mirage	1	0%	0.50	10.0

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.

13.5%Headshot accuracy

37.4%Accuracy (enemy spotted)

40.8%Spray accuracy

72.0%Counter-strafing

13.5°Preaim

673msReaction time

33.2%T opening success

33.5%CT opening success

0.69Enemies flashed / flash

7.6%Flash assists

10.55HE damage / grenade

9.99Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.4886° — above the 12° mark we flag
Aim Training →
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 13.5088% — below the 15% mark we flag
Aim Training →

Spend your practice time on Cache

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
debris	9–6	-0.03	20%	23 Sept →
ancient	3–13	-0.04	15%	17 Sept →
inferno	13–7	-0.01	9%	12 Sept →
ancient	2–13	-0.10	15%	11 Sept →
nuke	0–13	-0.03	6%	11 Sept →
inferno	13–3	-0.03	22%	11 Sept →
nuke	13–5	-0.00	19%	1 Sept →
inferno	13–6	0.03	26%	1 Sept →
cache	1–13	-0.03	11%	1 Sept →
inferno	13–9	0.02	15%	25 Aug →
inferno	10–13	-0.03	21%	25 Aug →
ancient	13–11	-0.01	15%	23 Aug →
cache	13–5	0.10	21%	23 Aug →
inferno	13–10	-0.10	14%	10 Aug →
anubis	8–13	-0.05	22%	10 Aug →
mirage	4–13	-0.03	8%	5 Aug →
nuke	13–11	-0.06	2%	8 Jul →
inferno	4–13	-0.04	17%	6 Jul →
anubis	13–3	-0.04	9%	6 Jul →
dust2	12–12	-0.06	16%	6 Jul →
inferno	2–9	-0.04	15%	3 Jul →
overpass	8–13	-0.03	14%	29 Jun →
dust2	12–12	-0.05	11%	29 Jun →
anubis	8–13	-0.04	15%	17 Jun →
anubis	13–8	-0.07	11%	13 Jun →
dust2	13–0	0.05	17%	12 Jun →
mirage	12–6	0.08	13%	12 Jun →
nuke	13–6	0.03	11%	12 Jun →
mirage	13–8	-0.02	9%	12 Jun →
cache	6–13	-0.04	10%	11 Jun →
ancient	14–16	-0.02	11%	11 Jun →
cache	11–13	-0.02	7%	9 Jun →
inferno	13–10	-0.06	11%	8 Jun →
nuke	13–7	-0.08	4%	8 Jun →
inferno	8–13	-0.06	7%	3 Jun →
inferno	13–9	-0.10	17%	3 Jun →
nuke	12–16	-0.05	8%	31 May →
inferno	6–13	-0.10	10%	31 May →
anubis	3–13	-0.08	10%	31 May →
ancient	6–13	-0.08	17%	31 May →
inferno	10–13	-0.09	4%	30 May →
overpass	13–10	-0.06	12%	30 May →
anubis	14–16	-0.06	5%	30 May →
nuke	16–13	-0.03	11%	30 May →
ancient	13–7	-0.01	11%	30 May →
mirage	13–0	-0.09	8%	30 May →
ancient	7–13	0.04	6%	30 May →
nuke	13–6	-0.03	17%	30 May →
ancient	16–12	-0.03	27%	30 May →
dust2	6–13	-0.05	16%	30 May →
dust2	13–10	-0.03	15%	29 May →
inferno	14–16	-0.07	11%	29 May →
ancient	16–13	-0.05	18%	29 May →
overpass	16–13	-0.04	17%	29 May →
ancient	8–13	-0.15	12%	28 May →
inferno	13–9	-0.07	22%	28 May →
dust2	7–2	-0.11	0%	28 May →
cache	3–13	-0.04	17%	28 May →
inferno	5–13	-0.06	18%	21 May →
inferno	13–3	-0.05	10%	21 May →
anubis	12–16	-0.08	15%	21 May →
ancient	13–8	0.02	7%	19 May →
ancient	3–13	-0.07	6%	19 May →
inferno	13–11	0.01	9%	19 May →
anubis	13–7	0.01	18%	13 May →
nuke	7–13	-0.04	11%	13 May →
inferno	12–12	0.00	19%	13 May →
mirage	3–13	-0.02	10%	13 May →
overpass	12–12	-0.10	9%	12 May →
dust2	4–13	-0.04	26%	7 May →
inferno	6–13	-0.04	23%	7 May →
inferno	9–13	0.05	19%	7 May →
cache	13–11	-0.03	13%	5 May →
anubis	13–8	0.01	13%	30 Apr →
nuke	13–8	0.03	15%	30 Apr →
nuke	13–7	-0.04	15%	28 Apr →
anubis	9–13	-0.04	12%	24 Apr →
nuke	13–7	0.01	15%	24 Apr →
anubis	9–13	-0.01	4%	22 Apr →
nuke	11–13	-0.05	19%	21 Apr →
overpass	10–13	-0.00	7%	18 Apr →
mirage	13–8	-0.07	22%	18 Apr →
inferno	13–9	-0.07	16%	17 Apr →
anubis	5–13	0.07	21%	17 Apr →
nuke	11–13	-0.02	18%	17 Apr →
inferno	13–9	0.01	27%	15 Apr →
inferno	11–13	-0.01	18%	13 Apr →
anubis	13–2	0.00	14%	13 Apr →
ancient	13–7	0.01	20%	13 Apr →
mirage	13–2	0.01	8%	10 Apr →
ancient	13–8	-0.02	16%	8 Apr →
inferno	9–13	-0.03	13%	7 Apr →
anubis	3–13	0.01	19%	7 Apr →
inferno	14–16	-0.00	17%	27 Mar →
nuke	13–4	-0.05	17%	27 Mar →
inferno	13–9	-0.01	7%	26 Mar →
overpass	16–13	-0.07	9%	22 Mar →
nuke	7–13	0.05	10%	21 Mar →
anubis	13–7	-0.09	10%	17 Mar →
dust2	7–13	-0.02	20%	16 Mar →