DeadCell — CS2 Stats

GB76561197970953905[U:1:10688177]Steam profile ↗

1,646Tracked matches53%Win rate2020Tracked since

2,466Hours in CS17Hrs last 2 wks

CSDB Rating6.4 SolidAggressive Rifler

Premier CS Rating22,066Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)

CSDB Leaderboard#9778 of 34343 tracked

FaceitLevel 10 · 2,181 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate	49.0%	52.0%
Shot accuracy	7.3%	13.7%
Kill/death ratio	1.03	1.08
Match win rate	45.2%	48.8%

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Performance scores

Aim76

Positioning69

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateWWLWLLLWWL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.6

Aggression9.0

Utility6.3

Positioning6.9

Opening Duels4.0

Clutch3.4

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 sh1ro 94% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 562ms 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

Aim7.6

Positioning6.9

Utility6.3

Mechanics4.7

Opening Duels4.0

Win Impact6.1

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time567ms−18ms

first ⅓ avg 586ms → last ⅓ avg 567ms

Headshot accuracy21.3%+2.1%

first ⅓ avg 19.2% → last ⅓ avg 21.3%

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

0.14Best rating — inferno 13–8

13–0Biggest win — dust2

5Longest win streak

W2Current streak

7–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

dust2Best map · 71% over 7nukeWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	30	17–13	57%	0.03
ancient	A	19	11–8	58%	0.03
anubis	C	18	8–10	44%	0.03
nuke	C	14	5–9	36%	0.03
cache	A	8	5–3	63%	-0.00
dust2	S	7	5–2	71%	0.02
mirage	—	3	1–2	33%	-0.00
vertigo	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,697Lifetime kills

1.03K/D

2,844Matches

45.2%Match win rate

49.0%Headshot %

7.3%Shot accuracy

6,847MVPs

1,498Hours (in match)

4,813Bombs planted

1,059Bombs defused

Most-used weapons

AK-4724,310

M4A4 / M4A1-S13,473

AWP8,880

P2000 / USP-S2,976

Glock-182,201

MAC-102,042

MP91,875

Desert Eagle1,858

Galil AR1,032

P2501,018

Lifetime map wins

9,516inferno

5,454nuke

4,593dust2

1,492train

850vertigo

15lake

3bank

1shorttrain

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

Faceit stats

Combat

627Matches

53%Win rate

1.19Avg K/D

83.6ADR

49%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	155	48%	1.17	17.1
Inferno	127	59%	1.19	17.1
Anubis	126	49%	1.21	16.9
Nuke	105	52%	1.23	17.4
Vertigo	38	61%	1.21	17.6
Dust2	31	61%	1.11	17.0
Train	12	42%	1.23	17.6
Mirage	6	67%	1.08	16.3

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.

21.0%Headshot accuracy

38.2%Accuracy (enemy spotted)

45.0%Spray accuracy

71.0%Counter-strafing

11.0°Preaim

562msReaction time

39.9%T opening success

52.1%CT opening success

0.53Enemies flashed / flash

10.2%Flash assists

10.85HE damage / grenade

9.07Flashes / 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 39.9417% — below the 40% mark we flag

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.

36% 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
dust2	13–8	0.04	19%	29 Aug →
dust2	13–0	0.12	32%	29 Aug →
anubis	13–16	-0.01	21%	28 Aug →
inferno	13–6	0.03	19%	28 Aug →
anubis	8–13	0.04	23%	26 Aug →
ancient	5–13	-0.07	18%	26 Aug →
dust2	8–13	-0.04	20%	25 Aug →
anubis	13–2	-0.03	21%	25 Aug →
ancient	16–12	0.04	17%	24 Aug →
nuke	6–13	-0.01	11%	24 Aug →
ancient	13–6	0.07	21%	23 Aug →
anubis	13–10	0.00	7%	23 Aug →
inferno	13–6	0.03	31%	22 Aug →
inferno	13–9	0.05	32%	22 Aug →
inferno	11–13	-0.02	18%	22 Aug →
cache	13–7	-0.00	20%	22 Aug →
ancient	13–5	0.04	22%	21 Aug →
mirage	8–13	-0.02	21%	21 Aug →
nuke	6–13	-0.02	13%	20 Aug →
inferno	13–10	0.01	20%	18 Aug →
nuke	13–4	0.09	27%	18 Aug →
inferno	7–13	0.05	29%	17 Aug →
inferno	13–9	-0.03	21%	17 Aug →
inferno	13–6	0.09	32%	16 Aug →
anubis	4–13	-0.06	19%	16 Aug →
ancient	13–0	0.07	13%	14 Aug →
cache	1–13	-0.04	27%	14 Aug →
vertigo	4–13	-0.00	17%	13 Aug →
anubis	11–13	0.10	23%	13 Aug →
inferno	8–13	0.04	23%	13 Aug →
nuke	13–2	0.07	27%	13 Aug →
inferno	14–16	0.03	20%	12 Aug →
mirage	13–7	0.03	20%	12 Aug →
inferno	13–3	0.09	25%	11 Aug →
ancient	6–13	-0.02	22%	11 Aug →
dust2	13–2	0.03	24%	11 Aug →
dust2	13–9	0.01	18%	10 Aug →
inferno	7–13	-0.07	24%	10 Aug →
ancient	13–8	0.06	22%	10 Aug →
nuke	15–15	0.10	17%	8 Aug →
inferno	8–13	-0.03	18%	6 Aug →
inferno	13–11	-0.02	18%	6 Aug →
ancient	13–11	0.02	21%	5 Aug →
ancient	13–8	-0.02	22%	5 Aug →
nuke	9–13	0.03	21%	5 Aug →
nuke	13–9	0.04	17%	4 Aug →
anubis	13–11	0.03	24%	3 Aug →
ancient	10–13	0.02	13%	3 Aug →
inferno	13–6	0.10	15%	2 Aug →
ancient	13–7	0.14	30%	2 Aug →
anubis	10–13	0.06	17%	30 Jul →
inferno	16–13	0.08	26%	30 Jul →
inferno	10–13	0.07	17%	29 Jul →
inferno	7–13	0.04	16%	28 Jul →
inferno	13–8	0.14	30%	28 Jul →
cache	13–10	0.02	14%	28 Jul →
inferno	10–13	0.01	23%	27 Jul →
anubis	5–13	0.02	31%	27 Jul →
inferno	13–5	0.05	35%	26 Jul →
anubis	8–13	0.01	16%	26 Jul →
inferno	13–8	-0.02	16%	26 Jul →
inferno	11–13	-0.04	21%	20 Jul →
nuke	10–13	0.01	22%	19 Jul →
anubis	13–11	0.09	19%	19 Jul →
ancient	4–13	0.01	34%	19 Jul →
anubis	8–13	0.05	16%	19 Jul →
ancient	13–4	0.04	23%	19 Jul →
ancient	9–13	0.01	22%	13 Jul →
anubis	23–25	0.01	15%	13 Jul →
nuke	12–12	-0.01	27%	10 Jul →
cache	13–2	0.06	26%	10 Jul →
inferno	13–4	0.02	14%	9 Jul →
anubis	13–8	0.09	18%	7 Jul →
inferno	13–5	0.10	23%	7 Jul →
ancient	13–10	0.06	15%	6 Jul →
ancient	6–13	0.01	13%	6 Jul →
anubis	13–9	0.01	16%	4 Jul →
nuke	13–6	0.02	37%	4 Jul →
nuke	11–13	-0.05	22%	3 Jul →
nuke	12–16	0.06	14%	2 Jul →
mirage	11–13	-0.01	19%	2 Jul →
dust2	13–7	0.09	19%	1 Jul →
anubis	7–13	-0.01	6%	30 Jun →
nuke	10–13	0.03	16%	29 Jun →
anubis	13–4	-0.00	29%	29 Jun →
ancient	5–13	0.00	15%	29 Jun →
cache	13–6	-0.02	12%	28 Jun →
anubis	13–7	0.09	29%	28 Jun →
inferno	8–13	-0.01	21%	27 Jun →
ancient	10–13	0.03	20%	27 Jun →
inferno	6–13	-0.01	7%	26 Jun →
inferno	13–11	0.02	22%	26 Jun →
cache	7–13	-0.04	10%	26 Jun →
nuke	13–11	0.12	27%	26 Jun →
cache	13–7	0.03	21%	25 Jun →
ancient	13–5	0.01	17%	25 Jun →
cache	9–13	-0.02	21%	23 Jun →
inferno	6–13	-0.05	20%	22 Jun →
dust2	5–13	-0.07	24%	22 Jun →
inferno	16–14	0.05	18%	21 Jun →