im dogshit — CS2 Stats

US76561198291696511[U:1:331430783]Steam profile ↗

183Tracked matches50%Win rate2020Tracked since

CSDB Rating4.6 Developing

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanSilver I

Ladder ranks via Leetify

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Performance scores

Aim51

Positioning48

Utility57

0–100 skill scores via Leetify.

Recent form

COLD52–37–11Last 10052%Win rateLTWLWLLLLW

Last 10 vs previous 10: -20pp win rate · -0.05 avg rating

Player DNA

Aim5.1

Aggression3.0

Utility5.7

Positioning4.8

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

Plays most like NiKo 80% 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. 646ms 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

Aim5.1

Positioning4.8

Utility5.7

Mechanics5.2

Opening Duels0.0

Win Impact5.0

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 rating0.00−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time648ms−24ms

first ⅓ avg 672ms → last ⅓ avg 648ms

Headshot accuracy11.8%−0.3%

first ⅓ avg 12.1% → last ⅓ avg 11.8%

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.

Highlights

0.18Best rating — cache 13–3

13–1Biggest win — dust2

4Longest win streak

7–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 68% over 19cacheWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	19	13–6	68%	0.01
dust2	B	18	9–9	50%	0.02
inferno	A	17	10–7	59%	0.02
cache	D	15	5–10	33%	0.01
mirage	B	8	4–4	50%	-0.00
anubis	A	7	4–3	57%	0.02
vertigo	D	6	2–4	33%	0.02
ancient	A	5	3–2	60%	-0.02
train	—	2	1–1	50%	0.01
overpass	—	2	0–2	0%	-0.01
office	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Skill profile

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

12.1%Headshot accuracy

36.1%Accuracy (enemy spotted)

41.1%Spray accuracy

73.6%Counter-strafing

11.8°Preaim

646msReaction time

29.3%T opening success

28.3%CT opening success

0.57Enemies flashed / flash

4.8%Flash assists

9.33HE damage / grenade

12.36Flashes / 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.

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 12.0837% — below the 15% mark we flag
Aim Training →
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 29.3377% — below the 40% mark we flag

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

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	8–13	-0.03	3%	12 Aug →
train	12–12	-0.03	16%	12 Aug →
train	13–4	0.04	12%	12 Aug →
cache	9–13	-0.04	7%	3 Aug →
office	13–3	0.09	12%	3 Aug →
vertigo	4–13	-0.01	16%	3 Aug →
nuke	6–13	-0.04	13%	3 Aug →
dust2	0–13	-0.04	12%	3 Aug →
ancient	7–13	-0.08	6%	29 Jul →
inferno	13–9	-0.01	16%	29 Jul →
vertigo	6–13	-0.02	16%	29 Jul →
vertigo	13–10	0.10	27%	29 Jul →
mirage	13–7	-0.02	9%	29 Jul →
nuke	13–7	0.02	8%	29 Jul →
mirage	10–13	0.03	7%	28 Jul →
anubis	10–13	0.08	14%	28 Jul →
inferno	13–6	0.04	10%	28 Jul →
inferno	13–3	0.09	6%	28 Jul →
inferno	8–13	-0.05	9%	28 Jul →
mirage	15–15	0.03	9%	28 Jul →
anubis	13–6	0.08	24%	28 Jul →
ancient	6–13	-0.10	10%	27 Jul →
ancient	13–9	0.02	4%	27 Jul →
dust2	3–13	-0.02	7%	26 Jul →
cache	7–13	-0.09	16%	26 Jul →
anubis	13–7	0.13	22%	22 Jul →
dust2	13–1	0.02	11%	22 Jul →
inferno	8–13	0.03	11%	22 Jul →
anubis	13–1	-0.02	15%	22 Jul →
anubis	13–4	-0.04	14%	22 Jul →
anubis	6–13	-0.05	12%	22 Jul →
inferno	12–12	-0.03	8%	22 Jul →
cache	9–13	0.02	7%	19 Jul →
inferno	13–4	-0.01	16%	19 Jul →
nuke	13–5	-0.00	8%	19 Jul →
ancient	16–14	0.01	17%	19 Jul →
dust2	13–11	0.02	13%	17 Jul →
vertigo	11–13	-0.03	9%	15 Jul →
overpass	11–13	-0.02	12%	15 Jul →
nuke	13–7	0.04	13%	15 Jul →
dust2	4–13	-0.06	13%	15 Jul →
dust2	13–4	0.09	20%	15 Jul →
inferno	11–4	-0.03	6%	15 Jul →
inferno	13–9	0.03	10%	15 Jul →
cache	13–3	0.18	12%	15 Jul →
nuke	12–12	-0.04	10%	15 Jul →
cache	12–12	0.03	16%	14 Jul →
nuke	6–2	-0.01	10%	14 Jul →
dust2	12–12	0.09	11%	14 Jul →
vertigo	13–5	0.13	16%	14 Jul →
nuke	13–2	0.11	16%	14 Jul →
inferno	9–13	0.12	13%	14 Jul →
inferno	5–0	0.04	25%	14 Jul →
mirage	13–11	0.02	18%	8 Jul →
nuke	5–13	-0.03	30%	8 Jul →
dust2	9–13	-0.02	10%	7 Jul →
dust2	4–13	-0.04	14%	7 Jul →
inferno	13–11	-0.07	8%	4 Jun →
cache	11–13	-0.01	19%	4 Jun →
nuke	13–8	0.05	8%	24 May →
dust2	13–3	0.11	20%	20 May →
dust2	13–4	0.04	14%	20 May →
cache	12–12	0.01	11%	20 May →
nuke	12–12	0.01	16%	19 May →
inferno	15–15	0.11	10%	12 May →
nuke	8–13	0.01	8%	12 May →
dust2	13–4	0.03	12%	12 May →
ancient	13–7	0.04	9%	12 May →
inferno	5–13	0.06	3%	12 May →
anubis	7–13	-0.02	10%	6 May →
cache	13–8	0.03	21%	6 May →
cache	9–13	0.03	16%	6 May →
nuke	13–6	0.02	9%	6 May →
nuke	11–13	0.01	8%	6 May →
mirage	6–13	0.01	9%	6 May →
inferno	13–10	-0.01	8%	6 May →
nuke	13–6	-0.01	10%	6 May →
nuke	13–6	0.09	11%	6 May →
cache	3–13	0.02	10%	5 May →
cache	13–7	-0.05	20%	5 May →
dust2	6–13	-0.02	7%	5 May →
inferno	13–7	0.01	17%	4 May →
dust2	10–13	0.10	24%	1 May →
dust2	16–13	0.04	13%	29 Apr →
mirage	13–11	-0.05	13%	29 Apr →
cache	12–12	-0.00	18%	29 Apr →
cache	13–8	-0.01	9%	29 Apr →
cache	12–12	0.05	11%	29 Apr →
cache	10–0	0.03	7%	29 Apr →
nuke	13–10	0.01	15%	25 Apr →
overpass	5–13	0.01	17%	25 Apr →
dust2	13–9	0.02	22%	23 Apr →
nuke	13–8	0.05	8%	23 Apr →
mirage	13–4	-0.01	3%	23 Apr →
dust2	13–11	0.02	8%	23 Apr →
dust2	7–13	0.04	12%	23 Apr →
nuke	13–6	-0.01	10%	23 Apr →
inferno	6–12	0.04	15%	21 Apr →
nuke	16–14	0.00	16%	21 Apr →
mirage	6–13	-0.03	12%	21 Apr →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

100 Matches

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