dogwithplantonhead — CS2 Stats

US76561198135964054[U:1:175698326]Steam profile ↗✓ No bans

1,373Tracked matches74%Win rate2021Tracked since

1,733Hours in CS5Hrs last 2 wks

CSDB Rating6.5 SolidSupport

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning48

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY52–39–9Last 10052%Win rateWWWWLTLWLW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim8.0

Aggression3.7

Utility7.1

Positioning4.8

Opening Duels0.5

Clutch1.0

Strong CT-side opener

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

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 43% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.0

Positioning4.8

Utility7.1

Mechanics6.3

Opening Duels1.6

Win Impact10.0

Composite 6.5/10 (Solid), 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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time544ms−21ms

first ⅓ avg 565ms → last ⅓ avg 544ms

Headshot accuracy16.2%+1.0%

first ⅓ avg 15.2% → last ⅓ avg 16.2%

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

0.18Best rating — debris 9–1

13–2Biggest win — mirage

7Longest win streak

W4Current streak

7–6In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 83% over 12anubisWeakest map · 0% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	21	13–8	62%	0.02
ancient	A	15	9–6	60%	0.00
mirage	D	15	5–10	33%	0.01
cache	S	12	10–2	83%	0.02
nuke	S	9	6–3	67%	-0.00
anubis	D	7	0–7	0%	0.00
boulder	B	6	3–3	50%	-0.01
fachwerk	—	4	1–3	25%	-0.02
shelter	—	3	2–1	67%	0.04
train	—	2	0–2	0%	0.01
debris	—	2	2–0	100%	0.06
vertigo	—	2	1–1	50%	-0.00
inferno	—	1	0–1	0%	-0.01
overpass	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,239Lifetime kills

1.17K/D · Top 50% of tracked players

2,366Matches

45.9%Match win rate

47.1%Headshot % · Top 50% of tracked players

8.0%Shot accuracy

4,341MVPs

921Hours (in match)

2,367Bombs planted

764Bombs defused

Most-used weapons

AK-4719,896

AWP7,345

M4A4 / M4A1-S6,604

Desert Eagle2,193

P2000 / USP-S1,794

Glock-181,275

P2501,075

Galil AR917

MP9881

SSG 08637

Lifetime map wins

3,943dust2

2,106nuke

2,027inferno

1,171vertigo

372train

272cbble

251office

65italy

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

Faceit stats

Combat

7Matches

43%Win rate

0.84Avg K/D

71.0ADR

32%Headshot %

Clutches & streaks

25%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	50%	1.12	16.5
Dust2	1	0%	0.53	8.0
Anubis	1	100%	1.62	13.0

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.

16.6%Headshot accuracy

37.9%Accuracy (enemy spotted)

40.9%Spray accuracy

78.4%Counter-strafing

9.4°Preaim

528msReaction time

20.7%T opening success

42.9%CT opening success

0.67Enemies flashed / flash

11.9%Flash assists

9.60HE damage / grenade

20.19Flashes / 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
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 20.7458% — below the 40% mark we flag

Spend your practice time on Anubis

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–8	0.01	18%	26 Aug →
cache	13–4	-0.01	18%	26 Aug →
dust2	13–11	-0.02	16%	26 Aug →
dust2	13–7	0.04	11%	25 Aug →
mirage	5–13	-0.04	15%	25 Aug →
ancient	12–12	0.02	18%	24 Aug →
mirage	10–13	0.00	13%	23 Aug →
nuke	11–2	-0.02	0%	23 Aug →
dust2	9–13	0.02	15%	14 Aug →
cache	13–11	0.02	17%	14 Aug →
mirage	13–8	0.08	18%	14 Aug →
cache	11–13	0.12	14%	13 Aug →
mirage	13–11	-0.03	19%	13 Aug →
dust2	13–5	0.04	16%	13 Aug →
cache	13–8	-0.02	16%	13 Aug →
nuke	13–5	-0.02	16%	13 Aug →
mirage	13–2	0.03	24%	13 Aug →
ancient	13–9	0.02	14%	13 Aug →
dust2	13–11	0.07	12%	12 Aug →
dust2	12–12	0.01	10%	12 Aug →
nuke	13–6	0.00	12%	12 Aug →
ancient	13–9	0.02	20%	12 Aug →
nuke	13–11	0.06	20%	11 Aug →
anubis	12–12	-0.01	10%	11 Aug →
mirage	13–9	0.01	30%	10 Aug →
anubis	11–13	-0.06	6%	10 Aug →
cache	13–7	0.01	11%	10 Aug →
anubis	11–13	-0.04	19%	8 Aug →
nuke	10–13	-0.01	46%	8 Aug →
ancient	13–7	0.02	19%	8 Aug →
mirage	4–13	-0.07	13%	8 Aug →
dust2	13–10	0.01	13%	8 Aug →
mirage	12–12	-0.01	18%	7 Aug →
nuke	13–4	-0.05	18%	7 Aug →
cache	13–10	0.07	12%	7 Aug →
ancient	13–10	-0.01	11%	7 Aug →
dust2	13–3	0.10	29%	7 Aug →
dust2	3–13	-0.03	6%	5 Aug →
mirage	11–13	-0.03	0%	5 Aug →
dust2	12–12	0.07	19%	5 Aug →
cache	13–10	0.02	16%	4 Aug →
mirage	13–6	0.04	32%	4 Aug →
dust2	13–6	0.03	13%	4 Aug →
dust2	13–11	0.00	18%	4 Aug →
dust2	13–10	0.05	13%	3 Aug →
anubis	8–13	0.02	16%	3 Aug →
train	1–13	-0.04	18%	2 Aug →
anubis	4–13	0.12	27%	2 Aug →
boulder	6–13	0.03	31%	2 Aug →
dust2	12–12	-0.01	4%	1 Aug →
inferno	11–13	-0.01	8%	1 Aug →
debris	9–1	0.18	25%	1 Aug →
ancient	7–13	-0.02	18%	1 Aug →
mirage	1–13	0.03	23%	1 Aug →
dust2	13–7	0.07	21%	1 Aug →
boulder	13–10	0.11	12%	1 Aug →
dust2	11–13	-0.05	21%	1 Aug →
ancient	13–9	0.03	15%	1 Aug →
mirage	12–12	0.07	31%	31 Jul →
dust2	0–13	-0.10	0%	31 Jul →
fachwerk	7–13	-0.04	13%	31 Jul →
cache	9–13	-0.03	13%	31 Jul →
nuke	12–12	0.06	28%	31 Jul →
mirage	10–13	0.06	17%	31 Jul →
nuke	0–6	-0.03	33%	30 Jul →
mirage	5–13	-0.06	15%	30 Jul →
ancient	13–5	0.10	29%	30 Jul →
boulder	13–8	0.04	32%	29 Jul →
vertigo	4–13	-0.03	18%	29 Jul →
train	7–13	0.06	17%	29 Jul →
cache	13–10	0.06	19%	29 Jul →
overpass	8–13	0.04	7%	29 Jul →
dust2	10–13	-0.01	13%	29 Jul →
ancient	13–5	0.01	7%	28 Jul →
ancient	13–10	0.01	22%	21 Jul →
mirage	9–13	0.01	14%	21 Jul →
vertigo	13–7	0.02	10%	20 Jul →
ancient	9–13	-0.04	17%	20 Jul →
cache	13–6	-0.04	17%	20 Jul →
ancient	2–13	-0.03	11%	20 Jul →
ancient	6–13	-0.01	8%	19 Jul →
anubis	8–13	0.02	31%	19 Jul →
cache	13–7	0.01	23%	18 Jul →
nuke	13–10	0.00	8%	18 Jul →
anubis	10–13	-0.04	3%	18 Jul →
dust2	13–10	-0.01	19%	18 Jul →
dust2	13–7	0.01	19%	17 Jul →
boulder	13–9	-0.08	11%	17 Jul →
dust2	13–10	0.10	15%	16 Jul →
ancient	4–13	-0.05	13%	16 Jul →
fachwerk	10–13	-0.04	10%	16 Jul →
shelter	13–10	0.00	7%	16 Jul →
cache	13–10	0.01	17%	15 Jul →
shelter	5–13	0.00	28%	15 Jul →
debris	9–6	-0.05	3%	15 Jul →
boulder	7–13	-0.08	17%	14 Jul →
shelter	13–5	0.12	28%	14 Jul →
fachwerk	13–11	0.02	15%	14 Jul →
boulder	8–13	-0.09	14%	13 Jul →
fachwerk	12–12	-0.04	14%	13 Jul →