𝔀𝓲𝓼𝓱𝔂𝔀𝓪𝓼𝓱𝔂 — CS2 Stats

76561198839359862[U:1:879094134]Steam profile ↗✓ No bans

5,029Tracked matches31%Win rate2020Tracked since

8,598Hours in CS43Hrs last 2 wks

CSDB Rating6.4 SolidPositional Player

Premier CS Rating26,643Top 5% of 180,525 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)

CSDB Leaderboard#7546 of 226098 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (5 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.

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. 23 days played since 23 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 26,643 +327 23 Aug – 13 Sept · 10 days played

Faceit ELO: 2,302 +0 28 Aug – 3 Sept · 2 observations

26,967Peak Premier in tracked matches

2,302Highest Faceit ELO seen on CSDB

23Days played since 2026-08-23

Faceit ELO

At peak — 2,302
Next: 2,500 ELO at 2,500 — 198 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-28
Level 9 first seen 2026-08-28

Premier CS Rating

324 below peak (26,967)
Next: Gold band at 30,000 — 3,357 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-28
Pink band first seen 2026-08-28

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 7 days vs previous 7

Metric	Last 7	Previous 7	Change
Matches	31	35	−4
Win rate	26%	29%	−3pp
K/D	1.08	1.14	−0.05
Headshot %	57%	56%	+1pp

Measured 9 Sep 2026 → 18 Sep 2026; previous 3 Sep 2026 → 9 Sep 2026.

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 Red band among CSDB-tracked players (n=12,691), 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	Red band median	Gold band median	vs Gold band
Headshot rate	60.8%	49.2%	50.3%	above
Shot accuracy	14.2%	13.3%	11.7%	above
Kill/death ratio	0.99	1.13	1.18	0.18 short
Match win rate	45.4%	48.5%	51.8%	6.5% short

This profile matches the typical Gold band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Gold band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim85

Positioning66

Utility39

0–100 skill scores via Leetify.

Recent form

COLD27–58–15Last 10027%Win rateLLWWTLLWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −1.3pp headshot accuracy · −49ms reaction

Win rate up 20pp 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

2–2–1 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 32%
Avg reaction 517ms

Last 10

3–6–1 · 30% win rate
Avg rating 0.03
Avg headshot accuracy 31%
Avg reaction 543ms

Last 20

4–12–4 · 20% win rate
Avg rating 0.03
Avg headshot accuracy 31%
Avg reaction 568ms

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 (+1.8 against its own average).

Aim8.5

Utility3.9

Positioning6.6

Opening Duels4.8

Clutch3.8

Sharp aimerLimited utility dependence

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 s1mple 88% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: 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

Preaim. Mechanical aim is strong but the crosshair sits 11.3° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Reaction time. 576ms 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

Aim8.5

Positioning6.6

Utility3.9

Mechanics6.9

Opening Duels6.3

Win Impact0.0

Composite 6.4/10 (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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time577ms−36ms

first ⅓ avg 613ms → last ⅓ avg 577ms

Headshot accuracy31.7%+2.2%

first ⅓ avg 29.5% → last ⅓ avg 31.7%

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

0.18Best match rating · 11–13 · dust2, 24 Aug →

100%Best headshot accuracy · 0–4 · cache, 6 Sept →

391msFastest reaction time · 0–4 · cache, 6 Sept →

13–4Biggest win · office, 13 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L2Current streak

8–8In matches decided by ≤2 rounds

3Overtime games

Map breakdown

dust2Best map · 35% over 37officeWeakest map · 17% over 23

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	37	13–24	35%	0.04
office	D	23	4–19	17%	0.04
cache	D	20	4–16	20%	0.03
mirage	D	5	1–4	20%	-0.01
inferno	—	4	2–2	50%	-0.06
vertigo	—	3	1–2	33%	0.05
anubis	—	3	1–2	33%	0.06
ancient	—	2	0–2	0%	0.09
train	—	2	1–1	50%	0.08
nuke	—	1	0–1	0%	0.10

Across the last 100 tracked matches.

Lifetime stats

265,489Lifetime kills

0.99K/D

9,485Matches

45.4%Match win rate

60.8%Headshot % · Top 25% of Red band

14.2%Shot accuracy · Top 50% of Red band

31,676MVPs

18,624Hours (in match)

4,171Bombs planted

2,178Bombs defused

Most-used weapons

AK-47125,460

M4A4 / M4A1-S42,887

Desert Eagle29,768

P2000 / USP-S21,919

AWP11,905

Glock-188,410

MP93,383

Knife3,056

SSG 083,047

Tec-92,979

Lifetime map wins

28,911dust2

10,215inferno

7,945nuke

4,818office

3,502vertigo

3,137train

159cbble

66italy

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

Faceit stats

Combat

925Matches

52%Win rate

1.09Avg K/D

77.8ADR

52%Headshot %

Clutches & streaks

39%1v1 clutch win

18%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	127	51%	0.99	14.9
Mirage	112	53%	0.98	15.3
Anubis	111	56%	1.07	16.6
Nuke	71	51%	0.96	15.1
Dust2	53	45%	0.96	15.8
Overpass	46	54%	1.10	15.5
Inferno	43	49%	0.98	15.9
Train	9	44%	1.21	20.1

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.

30.8%Headshot accuracy

38.0%Accuracy (enemy spotted)

37.0%Spray accuracy

81.2%Counter-strafing

11.3°Preaim

576msReaction time

55.7%T opening success

54.6%CT opening success

0.61Enemies flashed / flash

6.8%Flash assists

6.28HE damage / grenade

3.77Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.769 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Cache

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

20% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	3–13	0.01	31%	18 Sept →
dust2	6–13	-0.01	29%	18 Sept →
cache	13–8	-0.03	21%	17 Sept →
dust2	13–8	0.01	24%	17 Sept →
office	12–12	0.08	56%	17 Sept →
dust2	5–13	0.13	29%	17 Sept →
cache	8–13	-0.02	21%	17 Sept →
dust2	13–10	0.16	33%	17 Sept →
dust2	5–13	-0.01	29%	16 Sept →
cache	11–13	0.03	33%	16 Sept →
dust2	4–13	-0.02	27%	16 Sept →
office	13–8	-0.02	42%	15 Sept →
dust2	2–11	0.14	32%	15 Sept →
cache	7–13	0.06	24%	15 Sept →
dust2	12–12	0.02	32%	15 Sept →
office	7–13	0.05	72%	14 Sept →
cache	5–13	-0.03	28%	14 Sept →
mirage	12–12	0.00	22%	14 Sept →
ancient	15–15	0.02	17%	13 Sept →
dust2	9–13	0.04	23%	13 Sept →
cache	13–11	0.05	16%	13 Sept →
office	13–4	0.03	26%	13 Sept →
dust2	7–13	-0.03	23%	13 Sept →
office	2–13	-0.04	75%	12 Sept →
office	10–13	-0.02	35%	12 Sept →
dust2	7–13	0.08	24%	12 Sept →
cache	1–13	0.02	35%	12 Sept →
dust2	2–13	0.01	46%	12 Sept →
dust2	13–9	0.11	27%	12 Sept →
dust2	13–9	0.04	17%	10 Sept →
cache	4–13	0.06	33%	10 Sept →
dust2	8–13	-0.09	29%	10 Sept →
office	2–13	-0.03	37%	9 Sept →
office	1–8	-0.02	47%	9 Sept →
dust2	13–6	0.14	29%	9 Sept →
vertigo	12–12	0.03	33%	9 Sept →
dust2	13–5	0.06	28%	9 Sept →
cache	13–7	0.17	14%	9 Sept →
office	3–13	0.16	41%	8 Sept →
cache	11–13	0.00	21%	8 Sept →
cache	13–11	0.02	19%	7 Sept →
dust2	12–12	0.03	45%	7 Sept →
office	1–5	-0.04	50%	7 Sept →
office	6–13	0.00	39%	7 Sept →
nuke	4–13	0.10	20%	6 Sept →
office	11–13	0.10	28%	6 Sept →
dust2	11–13	0.04	19%	6 Sept →
dust2	3–13	-0.03	18%	6 Sept →
dust2	13–6	0.12	29%	6 Sept →
cache	12–12	0.02	24%	6 Sept →
cache	0–4	-0.05	100%	6 Sept →
dust2	11–13	-0.01	15%	6 Sept →
ancient	11–13	0.15	20%	5 Sept →
train	12–12	0.11	37%	5 Sept →
dust2	5–3	0.11	42%	4 Sept →
cache	12–12	0.09	27%	4 Sept →
dust2	8–13	0.08	28%	3 Sept →
dust2	13–11	0.11	25%	3 Sept →
cache	12–12	0.06	37%	1 Sept →
anubis	13–5	0.04	23%	31 Aug →
dust2	13–9	0.03	27%	31 Aug →
dust2	13–11	0.06	28%	31 Aug →
mirage	13–9	-0.01	19%	31 Aug →
inferno	3–13	-0.07	42%	30 Aug →
mirage	9–13	-0.03	17%	30 Aug →
anubis	12–12	0.10	34%	27 Aug →
vertigo	13–8	0.13	31%	27 Aug →
cache	12–12	0.00	33%	27 Aug →
dust2	12–12	0.00	47%	27 Aug →
cache	11–13	0.07	37%	26 Aug →
dust2	13–10	-0.02	24%	26 Aug →
office	6–13	0.12	33%	26 Aug →
office	1–13	0.02	48%	26 Aug →
mirage	5–13	0.01	17%	25 Aug →
cache	4–13	0.02	39%	25 Aug →
dust2	6–13	0.01	21%	25 Aug →
office	5–13	0.10	47%	25 Aug →
mirage	15–15	-0.01	28%	25 Aug →
inferno	13–10	-0.05	20%	24 Aug →
train	7–5	0.05	31%	24 Aug →
vertigo	4–13	-0.01	30%	24 Aug →
dust2	11–13	0.18	29%	24 Aug →
anubis	7–13	0.05	22%	24 Aug →
office	13–11	0.09	41%	24 Aug →
office	3–13	0.03	31%	24 Aug →
dust2	1–13	0.03	26%	24 Aug →
office	13–8	0.11	34%	24 Aug →
cache	4–13	0.01	14%	24 Aug →
dust2	13–11	0.13	20%	23 Aug →
inferno	13–6	-0.13	27%	23 Aug →
dust2	15–15	-0.04	21%	23 Aug →
inferno	6–13	0.02	26%	23 Aug →
office	3–13	0.01	23%	23 Aug →
dust2	4–13	-0.00	21%	23 Aug →
office	4–13	0.00	41%	23 Aug →
office	4–13	0.06	24%	23 Aug →
office	1–13	-0.02	53%	23 Aug →
cache	4–13	-0.02	22%	23 Aug →
dust2	6–13	-0.07	16%	23 Aug →
office	2–13	0.06	29%	23 Aug →