Dmise — CS2 Stats

76561198107295999[U:1:147030271]✓ No bans

3,899Tracked matches59%Win rate2020Tracked since

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating25,173Top 25% of 819 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)

FaceitLevel 10 · 2,500 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning66

Utility75

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateWWLLWLWLWL

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

Player DNA

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

Aim8.2

Aggression8.5

Utility7.5

Positioning6.6

Opening Duels4.5

Clutch4.2

Strong CT-side openerHigh utility contribution

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 ZywOo 93% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

Utility. Utility score of 75 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 59% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

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

Positioning6.6

Utility7.5

Mechanics6.2

Opening Duels4.5

Win Impact7.9

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time508ms−62ms

first ⅓ avg 570ms → last ⅓ avg 508ms

Headshot accuracy22.0%+4.0%

first ⅓ avg 18.1% → last ⅓ avg 22.0%

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

0.20Best rating — nuke 13–2

13–1Biggest win — nuke

4Longest win streak

W2Current streak

9–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 63% over 19infernoWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	31	17–14	55%	0.03
nuke	A	28	17–11	61%	0.04
anubis	A	19	12–7	63%	0.04
inferno	D	9	2–7	22%	0.02
cache	D	8	2–6	25%	0.00
dust2	—	3	2–1	67%	0.03
mirage	—	1	0–1	0%	0.00
eldorado	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,229Matches

53%Win rate

1.31Avg K/D

90.4ADR

46%Headshot %

Clutches & streaks

41%1v1 clutch win

25%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	313	54%	1.34	18.5
Ancient	257	50%	1.23	17.6
Nuke	238	67%	1.58	19.9
Vertigo	124	47%	1.24	18.0
Mirage	82	48%	1.20	18.1
Inferno	68	38%	1.15	16.5
Dust2	61	48%	1.12	15.9
Overpass	22	45%	1.22	19.5

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.

21.5%Headshot accuracy

34.9%Accuracy (enemy spotted)

39.8%Spray accuracy

78.0%Counter-strafing

9.0°Preaim

510msReaction time

37.0%T opening success

59.1%CT opening success

0.70Enemies flashed / flash

11.0%Flash assists

11.96HE damage / grenade

10.98Flashes / 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 36.9577% — 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.

22% win rate across 9 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	13–2	0.20	46%	26 Aug →
anubis	16–13	0.08	30%	26 Aug →
inferno	11–13	0.02	12%	18 Aug →
ancient	1–13	-0.07	33%	17 Aug →
ancient	13–10	0.04	32%	17 Aug →
nuke	6–13	-0.05	25%	15 Aug →
nuke	13–8	0.14	18%	11 Aug →
nuke	4–13	-0.04	25%	11 Aug →
ancient	16–13	0.09	23%	11 Aug →
ancient	13–16	0.01	9%	10 Aug →
dust2	16–14	0.02	24%	9 Aug →
nuke	13–10	0.02	17%	8 Aug →
anubis	2–13	-0.03	26%	5 Aug →
anubis	13–3	0.08	21%	4 Aug →
ancient	8–13	0.08	24%	3 Aug →
nuke	13–9	0.05	20%	3 Aug →
nuke	13–7	0.07	21%	2 Aug →
ancient	13–6	0.02	12%	2 Aug →
anubis	11–13	0.04	22%	2 Aug →
anubis	11–13	0.01	13%	2 Aug →
inferno	13–10	0.05	23%	30 Jul →
nuke	13–7	0.05	30%	30 Jul →
nuke	9–13	-0.00	26%	29 Jul →
ancient	13–2	0.09	32%	29 Jul →
ancient	8–13	-0.06	20%	29 Jul →
anubis	13–5	-0.01	16%	29 Jul →
ancient	13–6	0.05	19%	29 Jul →
inferno	15–15	0.04	11%	29 Jul →
inferno	5–13	-0.04	11%	29 Jul →
anubis	13–8	0.02	21%	28 Jul →
nuke	13–9	-0.03	20%	24 Jul →
mirage	10–13	0.00	18%	24 Jul →
anubis	13–9	0.07	26%	24 Jul →
nuke	7–13	0.06	25%	24 Jul →
nuke	6–1	-0.02	42%	24 Jul →
nuke	19–17	0.03	13%	23 Jul →
anubis	5–13	0.00	15%	23 Jul →
inferno	8–13	0.02	23%	22 Jul →
cache	9–13	0.01	11%	22 Jul →
ancient	13–5	0.12	15%	22 Jul →
ancient	13–11	0.11	20%	22 Jul →
nuke	13–8	0.02	26%	22 Jul →
anubis	13–8	0.01	22%	22 Jul →
cache	8–13	-0.03	17%	22 Jul →
anubis	9–13	-0.01	15%	22 Jul →
anubis	13–7	-0.02	10%	22 Jul →
nuke	14–16	0.06	18%	21 Jul →
nuke	13–11	0.09	24%	21 Jul →
dust2	15–15	0.06	14%	21 Jul →
nuke	10–13	-0.01	20%	21 Jul →
ancient	2–6	-0.01	19%	20 Jul →
anubis	13–8	0.05	22%	20 Jul →
inferno	15–15	-0.01	10%	19 Jul →
inferno	13–4	0.12	22%	19 Jul →
nuke	16–13	0.01	21%	18 Jul →
nuke	13–10	-0.03	21%	18 Jul →
ancient	10–13	-0.03	13%	18 Jul →
cache	13–11	0.07	29%	18 Jul →
ancient	8–13	-0.03	18%	18 Jul →
ancient	13–9	0.05	17%	18 Jul →
ancient	9–13	-0.01	14%	17 Jul →
cache	11–13	0.01	19%	17 Jul →
cache	3–13	-0.04	19%	16 Jul →
ancient	13–7	0.11	22%	16 Jul →
nuke	13–3	0.03	13%	16 Jul →
anubis	13–10	-0.04	10%	15 Jul →
ancient	10–13	0.07	21%	15 Jul →
ancient	13–10	0.08	23%	15 Jul →
nuke	13–8	0.06	13%	15 Jul →
cache	3–13	-0.01	26%	15 Jul →
anubis	7–13	0.08	10%	14 Jul →
ancient	8–13	0.09	13%	14 Jul →
anubis	13–6	0.16	21%	14 Jul →
ancient	13–4	0.03	17%	13 Jul →
nuke	15–15	0.12	16%	13 Jul →
nuke	4–13	-0.00	22%	12 Jul →
anubis	13–5	0.12	21%	12 Jul →
cache	10–13	-0.05	9%	12 Jul →
eldorado	3–9	-0.08	20%	12 Jul →
ancient	13–9	0.00	18%	10 Jul →
nuke	8–13	0.00	17%	10 Jul →
anubis	9–13	0.15	18%	10 Jul →
nuke	13–1	0.06	19%	10 Jul →
nuke	3–7	0.09	21%	10 Jul →
ancient	13–11	-0.07	11%	10 Jul →
ancient	11–13	0.03	17%	9 Jul →
ancient	13–8	0.01	13%	9 Jul →
cache	13–4	0.06	13%	9 Jul →
nuke	13–5	0.06	20%	9 Jul →
inferno	6–13	0.02	33%	9 Jul →
dust2	16–14	0.02	21%	9 Jul →
nuke	8–13	-0.00	18%	8 Jul →
ancient	5–13	-0.08	13%	5 Jul →
ancient	4–13	0.03	31%	4 Jul →
ancient	11–13	0.01	16%	1 Jul →
ancient	13–6	0.07	27%	1 Jul →
ancient	13–11	0.03	17%	1 Jul →
anubis	13–11	0.02	16%	1 Jul →
inferno	7–13	-0.05	14%	30 Jun →
ancient	13–5	0.10	13%	30 Jun →