mustan kissan tango — CS2 Stats

FI76561198316779766[U:1:356514038]Steam profile ↗✓ No bans

2,664Tracked matches47%Win rate2022Tracked since

4,452Hours in CS44Hrs last 2 wks

CSDB Rating6.6 SolidSupport

Premier CS Rating22,812Top 25% of 204,316 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)

CSDB Leaderboard#43871 of 251396 tracked

FaceitLevel 10 · 2,620 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,812 -1,244 1 Sept – 6 Oct · 8 days played

Faceit ELO: 2,620 +0 1 Sept – 22 Sept · 5 observations

24,056Peak Premier in tracked matches

2,620Highest Faceit ELO seen on CSDB

31Days played since 2026-08-23

Faceit ELO

At peak — 2,620
Next: 3,000 ELO at 3,000 — 380 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-09-01
Level 10 first seen 2026-09-01

Premier CS Rating

1,244 below peak (24,056)
-1,244 over 30 days · declining
Next: Red band at 25,000 — 2,188 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-01
Purple band first seen 2026-09-01

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.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	105	—	—
Win rate	53%	—	—
K/D	0.74	—	—
Headshot %	58%	—	—

Measured 11 Sep 2026 → 13 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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	59.8%	50.9%
Shot accuracy	6.4%	13.7%
Kill/death ratio	0.91	1.09
Match win rate	44.9%	48.4%

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Performance scores

Aim80

Positioning61

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateWWWLLLWLWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +1.2pp headshot accuracy · −37ms reaction

Win rate +10pp 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

3–2 · 60% win rate
Avg rating -0.00
Avg headshot accuracy 18%
Avg reaction 539ms

Last 10

5–5 · 50% win rate
Avg rating 0.00
Avg headshot accuracy 20%
Avg reaction 531ms

Last 20

9–11 · 45% win rate
Avg rating -0.01
Avg headshot accuracy 19%
Avg reaction 550ms

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 (+1.4 against its own average).

Aim8.0

Utility6.3

Positioning6.1

Opening Duels3.1

Clutch4.0

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 ZywOo 96% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

CSDB Rating breakdown

Aim8.0

Positioning6.1

Utility6.3

Mechanics7.5

Opening Duels3.6

Win Impact3.9

Composite 6.6/10 (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 rating-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time543ms−0ms

first ⅓ avg 544ms → last ⅓ avg 543ms

Headshot accuracy20.2%−0.1%

first ⅓ avg 20.3% → last ⅓ avg 20.2%

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.

Personal bests

0.10Best match rating · 13–2 · ancient, 12 Sept →

32%Best headshot accuracy · 11–13 · ancient, 27 Sept →

391msFastest reaction time · 8–13 · ancient, 28 Sept →

13–2Biggest win · mirage, 14 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

W3Current streak

13–11In matches decided by ≤2 rounds

19Overtime games

Map breakdown

infernoBest map · 62% over 29ancientWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	29	18–11	62%	-0.00
mirage	B	15	7–8	47%	-0.01
ancient	D	15	4–11	27%	-0.00
nuke	C	14	6–8	43%	-0.01
dust2	A	11	6–5	55%	-0.00
cache	A	10	6–4	60%	-0.01
anubis	A	5	3–2	60%	-0.02
rush_001	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

147,297Lifetime kills

0.91K/D

5,659Matches

44.9%Match win rate

59.8%Headshot % · Top 25% of Level 10 players

6.4%Shot accuracy

13,838MVPs

3,887Hours (in match)

6,912Bombs planted

1,735Bombs defused

Most-used weapons

AK-4766,387

M4A4 / M4A1-S26,196

Desert Eagle11,109

P2000 / USP-S10,681

Glock-185,417

MAC-105,080

MP94,581

AWP4,269

Galil AR3,631

FAMAS2,343

Lifetime map wins

16,338inferno

7,022dust2

4,900nuke

1,798vertigo

887train

37lake

30cbble

24office

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

Faceit stats

Combat

820Matches

54%Win rate

1.06Avg K/D

77.0ADR

51%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	194	57%	0.98	14.7
Inferno	139	56%	1.13	15.7
Ancient	128	52%	1.09	14.8
Dust2	116	45%	1.02	15.9
Nuke	105	59%	1.14	15.7
Anubis	63	48%	1.01	15.2
Cache	31	48%	0.97	15.1
Train	13	69%	1.08	17.1

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.

20.3%Headshot accuracy

36.2%Accuracy (enemy spotted)

37.7%Spray accuracy

83.8%Counter-strafing

9.9°Preaim

546msReaction time

48.5%T opening success

39.9%CT opening success

0.56Enemies flashed / flash

7.3%Flash assists

10.38HE damage / grenade

8.02Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.9483% — 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.

27% win rate across 15 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
mirage	19–17	-0.03	12%	11 Oct →
cache	13–9	-0.03	22%	11 Oct →
mirage	13–7	0.05	11%	11 Oct →
ancient	9–13	0.04	27%	11 Oct →
nuke	8–13	-0.03	17%	7 Oct →
inferno	8–13	-0.00	20%	7 Oct →
inferno	16–14	0.05	29%	6 Oct →
mirage	5–13	-0.03	16%	6 Oct →
inferno	13–10	0.04	27%	6 Oct →
inferno	14–16	-0.03	18%	6 Oct →
ancient	13–3	0.01	6%	5 Oct →
ancient	4–13	-0.02	21%	5 Oct →
nuke	13–11	0.02	31%	5 Oct →
dust2	8–13	-0.06	8%	5 Oct →
anubis	13–10	-0.05	14%	4 Oct →
ancient	10–13	-0.06	20%	4 Oct →
inferno	13–10	-0.05	27%	3 Oct →
mirage	5–13	-0.08	18%	3 Oct →
mirage	10–13	0.01	21%	2 Oct →
ancient	13–16	-0.00	21%	2 Oct →
cache	8–13	-0.06	24%	1 Oct →
ancient	18–22	-0.02	14%	1 Oct →
cache	13–10	0.05	17%	1 Oct →
anubis	3–13	-0.02	29%	1 Oct →
dust2	19–17	-0.03	25%	1 Oct →
inferno	13–9	0.03	26%	30 Sept →
mirage	3–13	-0.08	19%	30 Sept →
anubis	16–12	-0.01	21%	30 Sept →
nuke	14–16	0.02	27%	30 Sept →
inferno	13–7	0.04	19%	30 Sept →
mirage	16–14	0.02	22%	28 Sept →
ancient	11–13	-0.02	20%	28 Sept →
ancient	8–13	0.00	20%	28 Sept →
dust2	10–13	0.03	20%	28 Sept →
rush_001	7–8	0.01	26%	28 Sept →
nuke	4–13	-0.11	19%	27 Sept →
anubis	4–13	-0.03	14%	27 Sept →
ancient	11–13	0.06	32%	27 Sept →
dust2	11–13	-0.01	29%	27 Sept →
nuke	2–7	-0.06	6%	27 Sept →
dust2	7–13	-0.04	17%	19 Sept →
inferno	16–13	-0.04	18%	19 Sept →
mirage	9–13	-0.03	24%	18 Sept →
inferno	13–8	0.01	16%	18 Sept →
ancient	13–16	-0.05	17%	18 Sept →
nuke	4–13	0.01	14%	17 Sept →
inferno	13–9	0.01	13%	16 Sept →
cache	6–13	-0.04	22%	16 Sept →
cache	13–8	0.04	29%	16 Sept →
cache	13–11	0.05	20%	16 Sept →
inferno	13–8	0.04	19%	15 Sept →
nuke	13–11	0.01	23%	15 Sept →
inferno	5–13	-0.07	10%	14 Sept →
mirage	13–2	-0.04	11%	14 Sept →
nuke	7–13	-0.04	17%	13 Sept →
cache	19–16	-0.04	16%	13 Sept →
inferno	13–9	-0.01	5%	13 Sept →
cache	8–13	-0.04	29%	12 Sept →
inferno	13–5	0.01	20%	12 Sept →
inferno	3–13	-0.10	25%	12 Sept →
ancient	13–2	0.10	12%	12 Sept →
mirage	10–13	0.00	21%	12 Sept →
nuke	13–3	-0.01	24%	12 Sept →
inferno	13–10	0.02	20%	12 Sept →
mirage	13–10	0.01	20%	11 Sept →
mirage	6–13	-0.02	18%	11 Sept →
ancient	7–13	-0.05	20%	11 Sept →
ancient	6–13	-0.07	20%	10 Sept →
nuke	13–10	0.07	17%	10 Sept →
cache	13–4	0.03	29%	10 Sept →
dust2	22–19	0.02	19%	10 Sept →
mirage	13–6	0.03	21%	10 Sept →
inferno	22–25	-0.01	20%	7 Sept →
inferno	19–16	0.01	16%	6 Sept →
ancient	13–3	0.05	28%	6 Sept →
nuke	7–13	-0.00	13%	6 Sept →
dust2	13–8	0.02	24%	6 Sept →
ancient	13–11	0.02	20%	5 Sept →
dust2	2–13	-0.02	18%	5 Sept →
dust2	13–6	-0.01	14%	4 Sept →
inferno	13–16	-0.03	27%	4 Sept →
nuke	11–13	-0.03	14%	3 Sept →
inferno	13–5	0.01	18%	3 Sept →
inferno	11–13	0.02	27%	3 Sept →
mirage	13–3	0.03	15%	3 Sept →
nuke	13–11	-0.03	22%	3 Sept →
inferno	13–4	0.03	17%	3 Sept →
dust2	13–10	-0.01	20%	2 Sept →
inferno	13–16	0.03	21%	2 Sept →
inferno	13–11	0.01	22%	2 Sept →
inferno	13–9	-0.01	27%	27 Aug →
nuke	13–11	-0.03	18%	27 Aug →
inferno	14–16	-0.01	19%	26 Aug →
inferno	11–13	-0.06	11%	24 Aug →
cache	14–16	-0.01	27%	24 Aug →
inferno	13–11	0.00	25%	24 Aug →
inferno	3–13	-0.02	16%	24 Aug →
dust2	13–11	0.06	30%	24 Aug →
mirage	12–12	-0.01	25%	24 Aug →
anubis	13–6	-0.01	13%	23 Aug →