𝓙𝓺𝓱 — CS2 Stats

JP76561198370454787[U:1:410189059]Steam profile ↗✓ No bans

3,084Tracked matches57%Win rate2020Tracked since

5,506Hours in CS1Hrs last 2 wks

CSDB Rating7.2 StrongPositional Player

CSDB Leaderboard#196984 of 237839 tracked

FaceitLevel 10 · 2,664 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 3,084 tracked matches. 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. 42 days played since 25 Apr 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: 28,800 +2,861 27 Apr – 5 Jul · 21 days played

Faceit ELO: 2,664 +0 1 Sept – 19 Sept · 4 observations

29,459Peak Premier in tracked matches

2,664Highest Faceit ELO seen on CSDB

42Days played since 2026-04-25

Faceit ELO

At peak — 2,664
Next: 3,000 ELO at 3,000 — 336 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 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	1	0	—
Win rate	100%	—	—
K/D	0.80	—	—
Headshot %	25%	—	—

Measured 16 Sep 2026 → 22 Sep 2026; previous 9 Sep 2026 → 16 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 Level 10 among CSDB-tracked players (n=27,874), 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	48.8%	51.0%
Shot accuracy	15.4%	13.7%
Kill/death ratio	1.10	1.09
Match win rate	48.4%	48.4%

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Performance scores

Aim84

Positioning66

Utility63

0–100 skill scores via Leetify.

Recent form

COLD56–37–7Last 10056%Win rateWLTLWWLLLT

Last 10 vs previous 10: −50pp win rate · −0.09 avg rating · +3.8pp headshot accuracy · −68ms reaction

Win rate down 50pp 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 0.00
Avg headshot accuracy 24%
Avg reaction 475ms

Last 10

3–5–2 · 30% win rate
Avg rating 0.00
Avg headshot accuracy 25%
Avg reaction 452ms

Last 20

11–7–2 · 55% win rate
Avg rating 0.05
Avg headshot accuracy 23%
Avg reaction 486ms

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 (+1.4 against its own average).

Aim8.4

Utility6.3

Positioning6.6

Opening Duels5.2

Clutch2.8

Effective flashes

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 jL 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.4

Positioning6.6

Utility6.3

Mechanics7.2

Opening Duels4.8

Win Impact7.4

Composite 7.2/10 (Strong), 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 rating0.03−0.01

first ⅓ avg 0.05 → last ⅓ avg 0.03

Reaction time504ms−82ms

first ⅓ avg 586ms → last ⅓ avg 504ms

Headshot accuracy22.3%−2.4%

first ⅓ avg 24.6% → last ⅓ avg 22.3%

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

0.38Best match rating · 9–1 · inferno, 31 Jul →

50%Best headshot accuracy · 2–0 · cache, 20 Aug →

359msFastest reaction time · 13–10 · inferno, 16 Sept →

13–1Biggest win · nuke, 8 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak

6–4In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 69% over 16ancientWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	25	16–9	64%	0.04
cache	S	19	13–6	68%	0.05
inferno	S	16	11–5	69%	0.04
anubis	C	9	4–5	44%	0.01
overpass	B	8	4–4	50%	0.05
ancient	D	7	2–5	29%	-0.00
mirage	D	7	2–5	29%	0.03
dust2	B	6	3–3	50%	0.01
vertigo	—	2	1–1	50%	0.02
office	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

184,711Lifetime kills

1.10K/D · Top 50% of Level 10 players

7,336Matches

48.4%Match win rate

48.8%Headshot %

15.4%Shot accuracy · Top 50% of Level 10 players

22,108MVPs

4,537Hours (in match)

6,803Bombs planted

1,777Bombs defused

Most-used weapons

AK-4761,077

AWP28,488

M4A4 / M4A1-S24,757

Desert Eagle20,523

P2000 / USP-S10,319

Glock-185,811

Knife3,334

P2503,299

SSG 082,534

MP92,362

Lifetime map wins

16,802nuke

11,192inferno

4,140train

3,928dust2

2,015vertigo

762cbble

423office

244lake

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

Faceit stats

Combat

1,130Matches

55%Win rate

1.27Avg K/D

86.2ADR

47%Headshot %

Clutches & streaks

34%1v1 clutch win

27%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	96	64%	1.42	18.6
Inferno	82	66%	1.30	17.1
Anubis	69	45%	1.20	18.0
Mirage	49	43%	1.04	16.5
Overpass	39	56%	1.22	16.5
Dust2	30	43%	1.14	15.0
Ancient	19	37%	1.03	16.8
Vertigo	9	78%	1.32	18.9

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

34.5%Accuracy (enemy spotted)

38.8%Spray accuracy

82.4%Counter-strafing

9.0°Preaim

501msReaction time

49.0%T opening success

49.2%CT opening success

0.71Enemies flashed / flash

10.9%Flash assists

10.76HE damage / grenade

7.74Flashes / match

Recommended for you

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.

29% win rate across 7 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
inferno	13–10	-0.03	13%	16 Sept →
vertigo	10–13	-0.04	20%	6 Sept →
dust2	12–12	-0.00	15%	6 Sept →
dust2	10–13	-0.06	25%	20 Aug →
cache	2–0	0.15	50%	20 Aug →
nuke	13–8	0.07	18%	15 Aug →
nuke	5–13	0.03	33%	14 Aug →
office	3–13	-0.02	29%	14 Aug →
nuke	5–13	-0.03	26%	14 Aug →
ancient	15–15	-0.06	22%	8 Aug →
nuke	13–1	0.04	22%	8 Aug →
anubis	13–16	-0.03	18%	6 Aug →
ancient	13–5	0.02	16%	6 Aug →
inferno	13–6	-0.00	27%	6 Aug →
inferno	9–1	0.38	19%	31 Jul →
nuke	13–2	0.16	24%	29 Jul →
nuke	13–8	0.15	20%	27 Jul →
nuke	4–13	0.01	32%	24 Jul →
nuke	13–3	0.03	15%	20 Jul →
dust2	13–4	0.14	19%	20 Jul →
dust2	13–6	-0.03	15%	8 Jul →
cache	13–10	0.09	25%	8 Jul →
nuke	13–9	0.00	23%	8 Jul →
overpass	13–16	-0.01	15%	5 Jul →
dust2	13–10	0.04	21%	5 Jul →
ancient	13–16	-0.07	17%	5 Jul →
ancient	8–13	0.04	33%	5 Jul →
anubis	13–6	0.05	26%	5 Jul →
nuke	13–9	0.03	26%	5 Jul →
inferno	11–13	-0.06	9%	5 Jul →
dust2	4–13	-0.01	27%	4 Jul →
anubis	13–5	0.01	15%	4 Jul →
inferno	13–5	0.04	18%	4 Jul →
nuke	10–13	-0.01	22%	1 Jul →
mirage	2–13	-0.02	20%	25 Jun →
overpass	11–13	0.05	28%	20 Jun →
ancient	13–11	0.04	11%	20 Jun →
anubis	13–3	0.03	26%	20 Jun →
nuke	13–5	-0.00	23%	18 Jun →
nuke	11–13	-0.03	33%	18 Jun →
nuke	13–4	0.00	33%	18 Jun →
ancient	4–13	0.04	29%	17 Jun →
nuke	13–5	0.11	21%	17 Jun →
nuke	13–11	0.00	27%	17 Jun →
anubis	7–13	0.01	19%	17 Jun →
nuke	12–16	-0.03	27%	17 Jun →
nuke	15–15	-0.01	21%	16 Jun →
overpass	13–6	0.06	18%	16 Jun →
inferno	16–13	0.02	27%	15 Jun →
overpass	2–13	0.02	16%	14 Jun →
anubis	6–13	-0.05	26%	14 Jun →
mirage	9–13	0.09	22%	11 Jun →
nuke	12–12	0.08	27%	10 Jun →
inferno	12–16	0.01	16%	8 Jun →
mirage	0–13	-0.06	22%	26 May →
inferno	10–13	-0.02	18%	20 May →
inferno	16–13	0.01	19%	16 May →
anubis	16–12	-0.00	20%	16 May →
overpass	13–4	0.06	18%	16 May →
inferno	6–13	0.03	24%	16 May →
nuke	13–5	0.07	19%	15 May →
nuke	4–13	0.03	22%	15 May →
anubis	15–15	0.04	26%	15 May →
nuke	13–2	0.08	35%	14 May →
inferno	13–4	-0.01	29%	14 May →
mirage	13–11	0.06	45%	13 May →
inferno	4–13	-0.04	5%	12 May →
nuke	13–10	0.11	22%	10 May →
cache	13–6	0.10	25%	5 May →
cache	13–5	0.04	23%	5 May →
cache	13–11	0.11	24%	3 May →
mirage	16–13	0.14	17%	3 May →
vertigo	13–6	0.09	21%	2 May →
cache	13–7	0.07	30%	2 May →
cache	13–9	0.00	29%	2 May →
cache	12–12	0.04	17%	2 May →
cache	13–8	0.06	28%	2 May →
cache	12–12	0.02	22%	2 May →
cache	9–13	-0.04	20%	1 May →
cache	5–13	0.02	30%	1 May →
cache	13–2	0.11	33%	1 May →
cache	13–5	0.08	27%	1 May →
cache	8–13	-0.07	19%	30 Apr →
cache	13–2	0.04	26%	30 Apr →
cache	13–5	0.09	28%	30 Apr →
inferno	13–10	0.05	25%	30 Apr →
inferno	13–7	0.05	27%	30 Apr →
overpass	13–8	0.06	29%	30 Apr →
anubis	0–6	0.05	38%	29 Apr →
overpass	13–6	0.03	7%	29 Apr →
cache	6–13	0.00	18%	29 Apr →
cache	13–11	0.00	27%	29 Apr →
overpass	8–13	0.11	22%	27 Apr →
inferno	13–1	0.06	17%	27 Apr →
nuke	13–8	0.01	30%	27 Apr →
mirage	11–13	0.04	25%	27 Apr →
mirage	9–13	-0.03	18%	25 Apr →
ancient	7–13	-0.04	19%	25 Apr →
inferno	13–9	0.09	43%	25 Apr →
nuke	13–7	0.01	28%	25 Apr →