Depooty — CS2 Stats

76561198161553349[U:1:201287621]

1,526Tracked matches44%Win rate2023Tracked since

CSDB Rating5.1 Developing

Ladder ranks via Leetify

Performance scores

Aim55

Positioning51

Utility50

0–100 skill scores via Leetify.

Recent form

COLD44–44–12Last 10044%Win rateLLLLTWLLWT

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim5.5

Aggression7.8

Utility5.0

Positioning5.1

Opening Duels2.7

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 b1t 86% playstyle similarity

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

Where you differ: 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. 684ms 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

Aim5.5

Positioning5.1

Utility5.0

Mechanics7.5

Opening Duels2.7

Win Impact3.0

Composite 5.1/10 (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-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time686ms+15ms

first ⅓ avg 671ms → last ⅓ avg 686ms

Headshot accuracy14.5%−2.9%

first ⅓ avg 17.4% → last ⅓ avg 14.5%

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

0.16Best rating — cache 13–4

13–1Biggest win — dust2

8Longest win streak

L4Current streak

6–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

nukeBest map · 67% over 6trainWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	20	10–10	50%	0.02
cache	D	18	6–12	33%	-0.01
mirage	A	11	6–5	55%	0.00
vertigo	C	10	4–6	40%	-0.01
inferno	A	10	6–4	60%	-0.00
anubis	C	7	3–4	43%	-0.02
train	D	7	1–6	14%	-0.01
ancient	C	7	3–4	43%	0.00
nuke	S	6	4–2	67%	-0.02
overpass	—	3	1–2	33%	-0.03
office	—	1	0–1	0%	-0.05

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.

14.7%Headshot accuracy

31.3%Accuracy (enemy spotted)

34.2%Spray accuracy

83.7%Counter-strafing

9.0°Preaim

684msReaction time

37.3%T opening success

44.5%CT opening success

0.51Enemies flashed / flash

3.1%Flash assists

11.53HE damage / grenade

11.52Flashes / 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 14.7475% — 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 37.2559% — below the 40% mark we flag

Spend your practice time on Train

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	11–13	0.06	24%	30 Aug →
vertigo	4–13	-0.02	16%	19 Aug →
office	4–13	-0.05	16%	19 Aug →
overpass	5–13	-0.03	10%	19 Jul →
nuke	12–12	-0.01	14%	19 Jul →
mirage	13–4	0.04	10%	19 Jul →
vertigo	5–13	-0.06	8%	15 Jul →
cache	9–13	0.01	19%	15 Jul →
mirage	13–5	0.08	13%	14 Jul →
cache	12–12	-0.05	7%	7 Jul →
dust2	13–11	-0.06	17%	7 Jul →
anubis	9–13	-0.01	12%	6 Jul →
inferno	13–8	0.06	20%	5 Jul →
nuke	13–11	-0.01	15%	3 Jul →
dust2	5–13	-0.04	11%	3 Jul →
train	9–13	-0.02	10%	3 Jul →
dust2	2–13	-0.07	8%	29 Jun →
mirage	10–13	-0.01	6%	29 Jun →
train	6–13	-0.05	21%	29 Jun →
vertigo	13–7	0.10	23%	29 Jun →
cache	12–12	-0.01	27%	27 Jun →
dust2	13–10	0.03	11%	26 Jun →
overpass	12–12	-0.05	8%	26 Jun →
nuke	13–9	0.01	16%	26 Jun →
inferno	13–7	0.03	19%	26 Jun →
inferno	10–13	-0.02	21%	26 Jun →
nuke	13–5	-0.04	12%	25 Jun →
inferno	13–10	-0.06	16%	25 Jun →
mirage	12–12	-0.03	23%	25 Jun →
anubis	11–13	-0.10	9%	25 Jun →
vertigo	5–13	-0.02	3%	24 Jun →
cache	7–13	0.10	13%	24 Jun →
dust2	12–12	0.01	24%	10 Jun →
cache	8–13	-0.09	9%	10 Jun →
ancient	1–6	0.03	27%	9 Jun →
nuke	13–8	0.02	18%	3 Jun →
anubis	12–12	-0.08	2%	31 May →
cache	5–13	-0.08	27%	29 May →
train	13–10	0.01	11%	29 May →
cache	3–13	-0.06	17%	16 May →
dust2	4–13	-0.03	24%	16 May →
ancient	5–13	0.02	7%	16 May →
ancient	13–5	-0.01	9%	15 May →
vertigo	13–9	0.00	17%	15 May →
dust2	9–3	0.03	7%	15 May →
cache	13–5	-0.00	16%	15 May →
mirage	13–7	0.02	18%	15 May →
mirage	13–7	-0.04	13%	15 May →
dust2	13–7	0.01	28%	14 May →
anubis	13–3	0.12	14%	14 May →
cache	4–13	-0.10	10%	14 May →
inferno	13–6	-0.04	15%	14 May →
vertigo	12–12	-0.06	17%	13 May →
dust2	0–6	0.01	25%	13 May →
dust2	4–13	-0.06	16%	13 May →
ancient	0–13	-0.09	10%	13 May →
inferno	6–13	-0.02	13%	13 May →
cache	12–12	-0.06	10%	13 May →
anubis	5–13	-0.09	7%	12 May →
dust2	8–1	0.05	15%	12 May →
inferno	3–13	-0.09	29%	12 May →
dust2	4–13	-0.06	25%	12 May →
inferno	10–13	0.02	17%	10 May →
anubis	13–7	-0.03	14%	10 May →
mirage	5–13	-0.02	24%	10 May →
dust2	16–14	0.07	18%	10 May →
vertigo	7–13	-0.03	12%	9 May →
dust2	7–1	0.04	22%	9 May →
overpass	13–5	-0.00	5%	9 May →
cache	13–11	-0.02	19%	9 May →
train	7–13	-0.05	12%	9 May →
mirage	9–13	-0.01	17%	9 May →
nuke	11–13	-0.06	15%	8 May →
anubis	13–8	0.02	25%	8 May →
vertigo	8–13	-0.03	11%	8 May →
mirage	5–13	0.00	13%	8 May →
dust2	12–12	0.04	20%	8 May →
cache	5–13	0.02	34%	7 May →
train	12–12	0.02	16%	4 May →
mirage	13–10	0.02	24%	4 May →
cache	13–11	-0.01	15%	4 May →
train	7–13	-0.06	8%	4 May →
dust2	13–1	0.14	23%	4 May →
inferno	13–6	-0.01	18%	3 May →
ancient	13–5	0.03	11%	3 May →
cache	13–11	0.08	18%	1 May →
cache	13–4	0.16	16%	1 May →
cache	11–13	-0.03	17%	1 May →
vertigo	13–9	0.09	11%	29 Apr →
inferno	7–1	0.09	14%	29 Apr →
cache	11–6	-0.07	12%	29 Apr →
ancient	6–13	-0.04	40%	29 Apr →
cache	12–12	-0.03	13%	29 Apr →
ancient	13–10	0.07	17%	28 Apr →
dust2	4–13	0.08	29%	28 Apr →
dust2	8–1	0.01	5%	28 Apr →
mirage	13–1	-0.02	14%	28 Apr →
vertigo	13–7	-0.03	30%	28 Apr →
dust2	13–6	0.05	15%	27 Apr →
train	8–13	0.10	18%	27 Apr →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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