m𝟙skel — CS2 Stats

DK76561198396893343[U:1:436627615]Steam profile ↗✓ No bans

2,055Tracked matches50%Win rate2020Tracked since

CSDB Rating5.4 DevelopingSupport

CSDB Leaderboard#187496 of 226938 tracked

FaceitLevel 10 · 2,701 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,701 → 2,701

+18Tracked matches · now 2,055

0.0ppWin rate · 50.0% → 50.0%

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 58 days played since 20 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 23,368 -221 20 Feb – 16 Mar · 16 days played

Faceit ELO: 2,701 +0 2 Sept – 18 Sept · 2 observations

24,180Peak Premier in tracked matches

2,701Highest Faceit ELO seen on CSDB

58Days played since 2026-02-20

Faceit ELO

At peak — 2,701
Next: 3,000 ELO at 3,000 — 299 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-09-02
Level 10 first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim78

Positioning39

Utility57

0–100 skill scores via Leetify.

Recent form

COLD54–43–3Last 10054%Win rateLLLLLLWWWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −3.2pp headshot accuracy · +72ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

0–5 · 0% win rate
Avg rating 0.00
Avg headshot accuracy 18%
Avg reaction 602ms

Last 10

3–7 · 30% win rate
Avg rating 0.01
Avg headshot accuracy 17%
Avg reaction 556ms

Last 20

9–11 · 45% win rate
Avg rating 0.02
Avg headshot accuracy 18%
Avg reaction 520ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim7.8

Utility5.7

Positioning3.9

Opening Duels0.3

Clutch3.6

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 Twistzz 92% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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 39 points — deaths here waste a strong aim profile.

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

Aim7.8

Positioning3.9

Utility5.7

Mechanics5.4

Opening Duels0.0

Win Impact5.0

Composite 5.4/10 (Developing), 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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time526ms−43ms

first ⅓ avg 568ms → last ⅓ avg 526ms

Headshot accuracy19.9%−1.0%

first ⅓ avg 20.9% → last ⅓ avg 19.9%

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

0.18Best match rating · 13–7 · cache, 10 May →

55%Best headshot accuracy · 6–13 · dust2, 7 Mar →

383msFastest reaction time · 22–20 · ancient, 27 Jul →

13–1Biggest win · ancient, 24 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L6Current streak

5–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 65% over 31ancientWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
cache	S	31	20–11	65%	0.02
ancient	C	16	6–10	38%	0.02
mirage	A	11	6–5	55%	0.01
anubis	A	10	6–4	60%	0.02
nuke	B	10	5–5	50%	0.01
dust2	B	10	5–5	50%	0.00
inferno	C	7	3–4	43%	0.02
overpass	—	3	2–1	67%	0.02
eldorado	—	1	1–0	100%	-0.04
poseidon	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,528Matches

54%Win rate

1.28Avg K/D

81.1ADR

45%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	232	51%	1.34	17.1
Anubis	140	64%	1.23	16.2
Nuke	104	53%	1.48	16.5
Mirage	84	49%	1.14	15.7
Vertigo	83	60%	1.31	16.4
Inferno	80	46%	1.30	16.4
Overpass	37	49%	1.30	15.8
Dust2	28	61%	1.36	16.6

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.

18.8%Headshot accuracy

34.8%Accuracy (enemy spotted)

42.7%Spray accuracy

74.4%Counter-strafing

9.1°Preaim

518msReaction time

25.2%T opening success

30.2%CT opening success

0.58Enemies flashed / flash

6.7%Flash assists

7.45HE damage / grenade

7.94Flashes / 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 25.1802% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	8–13	-0.02	14%	10 Sept →
ancient	8–13	0.09	17%	10 Aug →
ancient	10–13	-0.05	19%	6 Aug →
nuke	10–13	0.02	22%	5 Aug →
ancient	9–13	-0.04	17%	4 Aug →
anubis	6–13	0.00	9%	3 Aug →
anubis	13–2	0.04	20%	3 Aug →
dust2	16–13	0.02	21%	2 Aug →
mirage	13–3	0.04	18%	1 Aug →
dust2	10–13	-0.04	12%	27 Jul →
mirage	14–16	-0.01	13%	27 Jul →
dust2	13–3	0.05	22%	27 Jul →
ancient	22–20	0.02	13%	27 Jul →
ancient	8–13	-0.04	22%	27 Jul →
ancient	16–13	0.05	18%	26 Jul →
inferno	11–13	0.01	12%	26 Jul →
ancient	13–8	-0.04	15%	24 Jul →
nuke	10–13	-0.05	19%	24 Jul →
ancient	13–1	0.16	20%	24 Jul →
inferno	13–1	0.12	44%	23 Jul →
cache	13–5	0.00	13%	23 Jul →
anubis	13–10	0.00	13%	23 Jul →
nuke	5–13	-0.05	40%	20 Jul →
cache	13–7	-0.03	20%	19 Jul →
eldorado	9–6	-0.04	21%	16 Jul →
anubis	13–1	0.08	27%	14 Jul →
nuke	13–4	0.07	18%	14 Jul →
anubis	9–13	-0.10	14%	10 Jul →
mirage	9–13	-0.05	18%	5 Jul →
anubis	14–16	0.05	24%	1 Jul →
inferno	13–5	0.06	33%	1 Jul →
cache	7–13	-0.03	23%	25 Jun →
cache	13–10	-0.01	25%	25 Jun →
cache	13–11	0.10	35%	25 Jun →
cache	11–13	-0.03	23%	10 Jun →
overpass	13–1	0.14	20%	4 Jun →
nuke	13–9	0.03	15%	3 Jun →
ancient	10–13	-0.01	8%	2 Jun →
nuke	13–4	0.07	6%	30 May →
cache	13–7	0.02	12%	30 May →
mirage	13–10	0.08	20%	28 May →
cache	4–2	0.03	13%	28 May →
cache	5–13	-0.04	16%	27 May →
cache	13–11	0.03	12%	27 May →
cache	13–3	0.02	0%	26 May →
cache	9–13	-0.01	20%	25 May →
poseidon	6–9	-0.03	17%	24 May →
cache	13–9	0.08	27%	24 May →
cache	12–12	0.02	24%	23 May →
cache	13–1	0.13	19%	21 May →
cache	13–1	0.05	15%	21 May →
cache	13–9	0.08	9%	18 May →
cache	13–7	-0.03	19%	18 May →
cache	6–13	-0.02	39%	18 May →
cache	13–7	0.04	22%	17 May →
cache	13–5	-0.00	17%	17 May →
cache	13–5	0.02	18%	17 May →
ancient	11–13	0.06	25%	17 May →
ancient	11–13	0.02	13%	17 May →
cache	12–12	-0.02	17%	16 May →
cache	13–9	0.04	13%	16 May →
cache	13–7	0.03	20%	16 May →
cache	13–8	0.02	19%	13 May →
cache	9–13	-0.02	23%	10 May →
cache	12–12	0.06	18%	10 May →
cache	13–7	0.18	19%	10 May →
nuke	15–19	-0.00	13%	2 May →
ancient	13–7	0.11	14%	30 Apr →
ancient	13–7	0.01	11%	29 Apr →
cache	13–2	0.10	26%	29 Apr →
cache	6–13	-0.04	22%	29 Apr →
ancient	10–13	-0.01	20%	19 Apr →
mirage	13–3	0.12	26%	19 Apr →
anubis	13–2	0.06	17%	6 Apr →
mirage	3–13	-0.01	27%	16 Mar →
inferno	6–13	-0.00	15%	12 Mar →
dust2	16–12	-0.03	15%	11 Mar →
dust2	7–13	-0.01	13%	9 Mar →
inferno	8–13	-0.02	18%	8 Mar →
mirage	5–13	0.05	17%	8 Mar →
dust2	6–13	0.03	55%	7 Mar →
mirage	13–11	-0.05	31%	6 Mar →
dust2	0–3	-0.01	38%	6 Mar →
inferno	13–8	-0.03	19%	6 Mar →
dust2	13–11	0.04	20%	6 Mar →
mirage	5–13	-0.02	14%	5 Mar →
anubis	13–7	0.11	25%	2 Mar →
dust2	13–6	0.06	17%	2 Mar →
mirage	13–9	-0.03	15%	28 Feb →
dust2	3–13	-0.09	8%	27 Feb →
mirage	13–6	-0.05	16%	25 Feb →
inferno	11–13	0.02	28%	25 Feb →
overpass	13–7	-0.06	5%	25 Feb →
anubis	13–10	0.02	29%	24 Feb →
ancient	5–13	-0.01	17%	23 Feb →
overpass	8–13	-0.01	23%	21 Feb →
ancient	1–4	-0.06	0%	21 Feb →
nuke	2–13	-0.07	36%	21 Feb →
nuke	13–6	-0.01	27%	20 Feb →
nuke	13–7	0.05	26%	20 Feb →