💀m0rti💀 — CS2 Stats

DE76561199028328806[U:1:1068063078]Steam profile ↗✓ No bans

1,830Tracked matches39%Win rate2020Tracked since

2,103Hours in CS

CSDB Rating5.2 DevelopingPositional Player

CSDB Leaderboard#116943 of 253416 tracked

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,418 -838 3 Jan – 29 Jun · 17 days played

22,074Peak Premier in tracked matches

1,809Highest Faceit ELO seen on CSDB

26Days played since 2026-01-03

Faceit ELO

At peak — 1,809
Next: Level 10 at 2,001 — 192 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim82

Positioning46

Utility39

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateLWLLLLLWWL

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · +1.7pp headshot accuracy · +4ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.06
Avg headshot accuracy 20%
Avg reaction 641ms

Last 10

3–7 · 30% win rate
Avg rating -0.03
Avg headshot accuracy 22%
Avg reaction 668ms

Last 20

6–12–2 · 30% win rate
Avg rating -0.01
Avg headshot accuracy 21%
Avg reaction 666ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim8.2

Utility3.9

Positioning4.6

Opening Duels1.6

Clutch3.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like b1t 91% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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 37 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 673ms 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

Aim8.2

Positioning4.6

Utility3.9

Mechanics8.4

Opening Duels1.2

Win Impact1.4

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time676ms−28ms

first ⅓ avg 704ms → last ⅓ avg 676ms

Headshot accuracy18.7%+2.6%

first ⅓ avg 16.1% → last ⅓ avg 18.7%

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.

Personal bests

0.11Best match rating · 13–6 · nuke, 13 May →

37%Best headshot accuracy · 12–12 · cache, 13 May →

516msFastest reaction time · 13–8 · mirage, 1 Mar →

13–3Biggest win · overpass, 19 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak

8–5In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 64% over 22infernoWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	22	14–8	64%	0.01
ancient	C	18	8–10	44%	-0.00
mirage	C	15	6–9	40%	-0.03
inferno	D	11	3–8	27%	-0.04
dust2	B	11	5–6	45%	-0.00
anubis	A	10	6–4	60%	0.01
overpass	C	9	4–5	44%	-0.01
cache	—	3	0–3	0%	-0.00
vertigo	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

125,149Lifetime kills

0.98K/D

5,634Matches

37.6%Match win rate

35.7%Headshot %

17.7%Shot accuracy · Top 25% of tracked players

11,245MVPs

2,103Hours (in match)

6,543Bombs planted

1,222Bombs defused

Most-used weapons

AK-4732,115

M4A4 / M4A1-S28,829

AWP18,071

Desert Eagle11,291

P2000 / USP-S4,590

FAMAS4,088

Galil AR3,802

AUG3,162

Glock-183,036

SG 5532,076

Lifetime map wins

19,682nuke

2,909vertigo

2,287dust2

1,964inferno

1,122train

369cbble

41lake

25ar_shoots

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

Faceit stats

Combat

1,008Matches

51%Win rate

1.00Avg K/D

74.5ADR

37%Headshot %

Clutches & streaks

36%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	88	42%	0.99	14.4
Nuke	84	68%	1.23	15.4
Ancient	66	50%	0.93	13.7
Anubis	63	57%	1.01	14.6
Dust2	44	45%	0.84	13.4
Train	23	52%	1.01	14.2
Inferno	21	24%	1.00	13.3
Overpass	13	46%	0.80	13.3

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.

19.7%Headshot accuracy

39.8%Accuracy (enemy spotted)

40.2%Spray accuracy

87.9%Counter-strafing

8.3°Preaim

673msReaction time

34.6%T opening success

34.9%CT opening success

0.38Enemies flashed / flash

3.8%Flash assists

8.75HE damage / grenade

5.45Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3774 — below the 0.5 mark we flag
Grenade Lineups →
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 34.6067% — below the 40% mark we flag

Spend your practice time on Inferno

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	6–13	-0.10	18%	26 Sept →
ancient	13–8	-0.03	20%	2 Sept →
inferno	4–13	-0.08	18%	12 Jul →
dust2	1–13	-0.04	28%	12 Jul →
nuke	8–13	-0.02	16%	12 Jul →
ancient	8–13	-0.04	19%	11 Jul →
nuke	4–13	-0.05	26%	11 Jul →
anubis	13–5	0.01	28%	11 Jul →
inferno	13–10	0.03	24%	11 Jul →
cache	8–13	-0.01	23%	11 Jul →
nuke	16–13	0.03	23%	11 Jul →
mirage	9–13	-0.03	22%	29 Jun →
nuke	13–11	0.02	30%	29 Jun →
ancient	9–13	0.02	9%	29 Jun →
anubis	3–13	0.06	21%	17 May →
inferno	2–13	-0.09	9%	17 May →
overpass	15–15	-0.02	22%	17 May →
dust2	7–13	-0.01	19%	13 May →
nuke	13–6	0.11	12%	13 May →
cache	12–12	0.01	37%	13 May →
cache	3–13	-0.01	19%	13 May →
ancient	13–16	-0.02	13%	5 Apr →
mirage	3–13	-0.10	0%	26 Mar →
nuke	13–10	-0.00	20%	22 Mar →
ancient	16–13	0.05	17%	22 Mar →
nuke	11–13	-0.01	18%	22 Mar →
inferno	13–11	-0.00	24%	22 Mar →
mirage	16–14	0.02	14%	22 Mar →
nuke	13–11	-0.00	12%	22 Mar →
mirage	4–13	-0.07	18%	21 Mar →
ancient	13–4	0.04	11%	21 Mar →
nuke	13–6	0.02	18%	21 Mar →
nuke	7–13	-0.03	10%	21 Mar →
overpass	16–13	0.03	16%	21 Mar →
overpass	4–13	-0.03	27%	1 Mar →
mirage	13–8	-0.05	10%	1 Mar →
anubis	10–13	-0.07	31%	1 Mar →
inferno	13–8	0.00	13%	1 Mar →
mirage	10–13	-0.01	17%	28 Feb →
ancient	7–13	-0.05	14%	28 Feb →
inferno	6–13	-0.01	16%	28 Feb →
overpass	13–10	0.06	14%	28 Feb →
inferno	4–13	-0.04	15%	28 Feb →
nuke	7–13	-0.00	16%	28 Feb →
anubis	16–12	0.02	19%	19 Feb →
mirage	9–13	-0.07	22%	19 Feb →
inferno	3–13	-0.10	27%	19 Feb →
inferno	12–16	-0.09	15%	19 Feb →
overpass	13–3	-0.05	22%	19 Feb →
dust2	13–8	-0.05	14%	19 Feb →
mirage	10–13	0.01	20%	8 Feb →
dust2	13–6	0.05	30%	8 Feb →
dust2	13–11	-0.02	16%	8 Feb →
mirage	2–13	-0.07	10%	8 Feb →
vertigo	4–9	-0.04	33%	8 Feb →
overpass	14–16	0.01	11%	7 Feb →
inferno	9–13	-0.04	31%	7 Feb →
ancient	14–16	-0.02	17%	7 Feb →
nuke	13–10	0.05	16%	7 Feb →
anubis	13–11	0.02	11%	7 Feb →
anubis	13–10	-0.01	23%	5 Feb →
dust2	14–16	-0.01	15%	5 Feb →
ancient	9–13	-0.04	12%	5 Feb →
anubis	6–13	-0.01	35%	5 Feb →
nuke	5–13	0.00	17%	2 Feb →
ancient	13–4	0.05	9%	2 Feb →
dust2	10–13	-0.01	25%	2 Feb →
overpass	13–9	-0.03	28%	2 Feb →
nuke	13–7	0.07	14%	1 Feb →
nuke	13–7	0.01	25%	1 Feb →
ancient	4–13	-0.02	22%	25 Jan →
ancient	10–13	-0.08	12%	25 Jan →
overpass	5–13	-0.03	20%	25 Jan →
nuke	13–11	0.01	10%	25 Jan →
anubis	16–12	0.06	18%	25 Jan →
anubis	16–13	0.02	25%	25 Jan →
mirage	13–5	0.02	8%	24 Jan →
mirage	9–13	-0.03	15%	24 Jan →
ancient	1–13	-0.04	21%	24 Jan →
dust2	13–10	0.06	8%	24 Jan →
mirage	13–6	-0.05	10%	24 Jan →
ancient	13–9	0.05	13%	24 Jan →
ancient	13–11	0.02	13%	24 Jan →
inferno	9–13	-0.03	18%	23 Jan →
nuke	13–7	0.01	16%	23 Jan →
dust2	11–13	0.04	25%	23 Jan →
overpass	8–13	-0.05	11%	23 Jan →
nuke	13–10	0.02	13%	23 Jan →
ancient	13–10	0.04	8%	23 Jan →
nuke	13–5	0.06	24%	23 Jan →
anubis	10–13	-0.01	22%	23 Jan →
mirage	13–10	-0.07	14%	19 Jan →
ancient	5–13	0.01	20%	19 Jan →
nuke	13–9	0.03	9%	19 Jan →
nuke	10–13	0.01	11%	18 Jan →
dust2	16–13	0.01	18%	18 Jan →
mirage	13–9	0.04	14%	18 Jan →
ancient	13–7	-0.02	19%	18 Jan →
dust2	6–13	-0.01	18%	11 Jan →
mirage	7–13	-0.05	12%	3 Jan →