deadpocket — CS2 Stats

76561198043264034[U:1:82998306]✓ No bans

523Tracked matches61%Win rate2023Tracked since

CSDB Rating4.5 Developing

Ladder ranks via Leetify

Performance scores

Aim41

Positioning55

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY42–52–6Last 10042%Win rateWLLWWTWLWW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim4.1

Aggression6.6

Utility3.7

Positioning5.5

Opening Duels2.0

Clutch0.0

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 ropz 80% playstyle similarity

Most alike: opening-fight frequency, 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. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1

Positioning5.5

Utility3.7

Mechanics3.5

Opening Duels2.0

Win Impact8.6

Composite 4.5/10 (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 0.01 → last ⅓ avg 0.00

Reaction time634ms−7ms

first ⅓ avg 640ms → last ⅓ avg 634ms

Headshot accuracy13.2%+1.1%

first ⅓ avg 12.1% → last ⅓ avg 13.2%

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

0.12Best rating — dust2 13–9

13–1Biggest win — ancient

5Longest win streak

9–4In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 67% over 9nukeWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	10–13	43%	0.01
anubis	A	14	9–5	64%	0.02
nuke	D	14	3–11	21%	0.01
inferno	D	11	3–8	27%	-0.01
cache	A	10	6–4	60%	0.00
ancient	S	9	6–3	67%	0.02
mirage	C	7	3–4	43%	-0.01
office	—	4	0–4	0%	-0.01
overpass	—	2	1–1	50%	-0.01
boulder	—	2	0–2	0%	-0.02
vertigo	—	1	0–1	0%	0.02
eldorado	—	1	0–1	0%	-0.02
fachwerk	—	1	0–1	0%	0.01
shelter	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches

0%Win rate

0.38Avg K/D

44.4ADR

17%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

13.7%Headshot accuracy

33.8%Accuracy (enemy spotted)

36.8%Spray accuracy

65.9%Counter-strafing

12.2°Preaim

622msReaction time

30.6%T opening success

45.4%CT opening success

0.53Enemies flashed / flash

5.9%Flash assists

4.85HE damage / grenade

3.64Flashes / 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 12.1997° — 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 13.6722% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.6382 — below the 4 mark we flag
Grenade Lineups →

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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

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