Stranger in Moscow👨‍🚀 — CS2 Stats

DK76561198086391097[U:1:126125369]Steam profile ↗✓ No bans

5,655Tracked matches37%Win rate2020Tracked since

CSDB Rating5.6 SolidSupport

CSDB Leaderboard#202366 of 250437 tracked

FaceitLevel 10 · 3,438 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,438 → 3,438

+33Tracked matches · now 5,655

0.0ppWin rate · 36.7% → 36.7%

Rating over time

Faceit ELO: 3,438 +0 29 Aug – 18 Sept · 4 observations

3,438Highest Faceit ELO seen on CSDB

63Days played since 2025-10-12

Faceit ELO

At peak — 3,438
Next: 3,500 ELO at 3,500 — 62 to go
Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
3,000 ELO first seen 2026-08-29
2,500 ELO first seen 2026-08-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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

Aim84

Positioning36

Utility65

0–100 skill scores via Leetify.

Recent form

COLD49–50–1Last 10049%Win rateLLLWWLLLLW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +2.4pp headshot accuracy · −24ms 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

2–3 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 23%
Avg reaction 486ms

Last 10

3–7 · 30% win rate
Avg rating -0.02
Avg headshot accuracy 25%
Avg reaction 509ms

Last 20

7–13 · 35% win rate
Avg rating -0.03
Avg headshot accuracy 24%
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 (+2.9 against its own average).

Aim8.4

Utility6.5

Positioning3.6

Opening Duels0.0

Clutch4.2

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 Twistzz 84% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; 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 48 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

Aim8.4

Positioning3.6

Utility6.5

Mechanics7.2

Opening Duels0.0

Win Impact0.6

Composite 5.6/10 (Solid), 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 rating-0.02−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time523ms−115ms

first ⅓ avg 638ms → last ⅓ avg 523ms

Headshot accuracy23.1%−4.5%

first ⅓ avg 27.5% → last ⅓ avg 23.1%

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

0.20Best match rating · 13–9 · overpass, 1 Apr →

47%Best headshot accuracy · 7–7 · ancient, 31 Mar →

367msFastest reaction time · 5–13 · ancient, 1 Aug →

13–0Biggest win · mirage, 30 Jan →

Across the last 100 tracked matches.

Highlights

9Longest win streak

L3Current streak

10–12In matches decided by ≤2 rounds

17Overtime games

Map breakdown

overpassBest map · 88% over 8nukeWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	35	16–19	46%	0.00
ancient	A	25	14–11	56%	0.01
nuke	D	11	3–8	27%	-0.02
inferno	D	10	3–7	30%	0.01
overpass	S	8	7–1	88%	0.06
anubis	A	5	3–2	60%	-0.04
dust2	—	3	2–1	67%	-0.02
cache	—	2	0–2	0%	0.00
vertigo	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

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

Faceit stats

Combat

9,719Matches

52%Win rate

1.18Avg K/D

81.9ADR

56%Headshot %

Clutches & streaks

41%1v1 clutch win

24%1v2 clutch win

15Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1025	49%	1.18	16.7
Ancient	844	57%	1.22	17.3
Nuke	322	52%	1.21	16.6
Dust2	287	47%	1.12	15.9
Anubis	244	53%	1.15	15.5
Vertigo	165	67%	1.33	17.5
Overpass	140	61%	1.32	17.2
Inferno	105	50%	1.21	15.6

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.

22.9%Headshot accuracy

35.6%Accuracy (enemy spotted)

37.8%Spray accuracy

82.5%Counter-strafing

9.3°Preaim

523msReaction time

20.5%T opening success

27.8%CT opening success

0.64Enemies flashed / flash

8.2%Flash assists

9.85HE damage / grenade

10.56Flashes / 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 20.4701% — 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.

27% win rate across 11 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
cache	9–13	0.07	22%	5 Oct →
mirage	2–13	-0.00	17%	1 Oct →
ancient	14–16	-0.00	21%	29 Sept →
anubis	16–13	-0.05	28%	27 Sept →
ancient	13–7	0.04	30%	15 Sept →
mirage	1–13	-0.07	23%	11 Sept →
nuke	5–13	-0.06	26%	5 Sept →
dust2	7–13	-0.04	33%	20 Aug →
nuke	2–13	-0.06	25%	20 Aug →
anubis	13–11	0.00	28%	17 Aug →
ancient	10–13	-0.07	23%	15 Aug →
cache	3–13	-0.06	13%	15 Aug →
inferno	14–16	-0.03	21%	15 Aug →
mirage	6–13	-0.07	21%	15 Aug →
ancient	4–13	-0.02	31%	14 Aug →
anubis	13–7	-0.03	21%	14 Aug →
nuke	13–7	-0.03	34%	14 Aug →
mirage	13–11	-0.03	19%	7 Aug →
ancient	13–4	-0.05	8%	1 Aug →
ancient	5–13	-0.04	38%	1 Aug →
mirage	13–6	-0.02	18%	25 Jul →
mirage	7–13	-0.05	15%	18 Jul →
mirage	8–13	-0.05	9%	18 Jul →
nuke	7–13	-0.05	25%	3 Jul →
ancient	12–16	0.02	18%	3 Jul →
inferno	13–8	-0.01	23%	3 Jul →
ancient	13–2	0.08	19%	29 Jun →
anubis	12–16	-0.02	32%	29 Jun →
nuke	10–13	-0.03	19%	29 Jun →
mirage	13–1	0.12	25%	26 Jun →
ancient	19–16	0.02	25%	26 Jun →
inferno	10–13	0.03	32%	26 Jun →
ancient	16–14	0.01	21%	29 May →
mirage	7–13	0.01	13%	23 May →
nuke	5–13	-0.04	23%	15 May →
inferno	11–13	0.00	18%	15 May →
anubis	6–13	-0.08	29%	15 May →
nuke	16–19	0.02	31%	15 May →
inferno	8–13	-0.01	23%	15 May →
mirage	13–8	-0.03	32%	3 May →
ancient	13–6	0.02	14%	26 Apr →
mirage	13–5	0.01	27%	26 Apr →
overpass	13–11	-0.00	25%	18 Apr →
mirage	4–13	-0.12	13%	18 Apr →
ancient	8–13	-0.06	23%	18 Apr →
ancient	15–19	-0.04	18%	18 Apr →
nuke	5–13	0.00	21%	18 Apr →
dust2	13–10	-0.04	31%	16 Apr →
nuke	13–10	0.00	20%	12 Apr →
ancient	13–5	0.01	20%	3 Apr →
inferno	13–9	0.01	24%	3 Apr →
mirage	7–0	0.02	27%	2 Apr →
inferno	13–11	0.12	31%	2 Apr →
ancient	13–9	0.01	24%	2 Apr →
overpass	13–9	0.20	33%	1 Apr →
vertigo	13–11	0.06	21%	1 Apr →
ancient	12–12	0.06	31%	31 Mar →
ancient	7–7	0.05	47%	31 Mar →
ancient	13–2	0.08	30%	31 Mar →
mirage	13–8	0.06	29%	30 Mar →
mirage	13–5	0.16	29%	30 Mar →
nuke	16–14	0.01	19%	28 Mar →
mirage	11–13	-0.04	24%	24 Mar →
mirage	11–13	-0.01	20%	23 Mar →
ancient	13–6	0.01	39%	18 Mar →
mirage	15–19	0.02	26%	23 Feb →
overpass	13–5	0.15	27%	23 Feb →
mirage	13–10	-0.04	25%	21 Feb →
mirage	13–10	-0.01	14%	16 Feb →
ancient	13–10	0.04	25%	15 Feb →
mirage	9–13	-0.02	22%	13 Feb →
mirage	13–3	0.04	27%	11 Feb →
mirage	7–13	0.01	28%	8 Feb →
mirage	11–13	0.04	38%	5 Feb →
mirage	7–4	-0.04	27%	4 Feb →
ancient	13–4	0.07	26%	4 Feb →
inferno	3–5	-0.01	33%	2 Feb →
overpass	13–5	0.02	42%	1 Feb →
overpass	13–5	0.12	28%	1 Feb →
inferno	6–13	-0.04	23%	31 Jan →
mirage	13–0	0.09	45%	30 Jan →
mirage	13–2	0.14	41%	30 Jan →
ancient	2–13	-0.02	28%	18 Jan →
mirage	17–19	0.02	26%	3 Jan →
dust2	19–16	0.02	25%	3 Jan →
ancient	16–14	0.05	24%	22 Dec →
nuke	6–13	0.02	31%	21 Dec →
overpass	20–22	-0.03	19%	15 Dec →
mirage	12–16	0.03	34%	5 Dec →
mirage	7–13	-0.07	32%	5 Dec →
ancient	11–13	-0.02	37%	15 Nov →
inferno	0–2	0.00	33%	13 Nov →
ancient	13–7	0.04	29%	2 Nov →
mirage	13–11	-0.05	42%	2 Nov →
overpass	13–11	-0.02	13%	30 Oct →
mirage	7–13	0.02	20%	21 Oct →
mirage	13–0	-0.06	6%	20 Oct →
mirage	13–16	0.01	25%	17 Oct →
mirage	6–13	0.07	23%	13 Oct →
overpass	13–10	0.01	15%	12 Oct →