𝘾𝙝𝙚𝙢𝙞𝙘𝙖𝙡 ☢ 𝘽𝙪𝙧𝙣 — CS2 Stats

76561197966397264[U:1:6131536]Steam profile ↗✓ No bans

5,968Tracked matches57%Win rate2020Tracked since

CSDB Rating4.7 DevelopingPositional Player

Premier CS Rating12,322Blue band · top ~42.6% of ranked players (population est.)

CSDB Leaderboard#152979 of 231271 tracked

FaceitLevel 3 · 974 ELOTop 90.6% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (8 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. 21 days played since 28 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 12,322 +102 30 Aug – 12 Sept · 7 days played

Faceit ELO: 974 +0 30 Aug – 2 Sept · 2 observations

12,548Peak Premier in tracked matches

974Highest Faceit ELO seen on CSDB

21Days played since 2026-08-28

Faceit ELO

At peak — 974
Next: Level 5 at 1,051 — 77 to go
Reached: Level 4 · Level 3 · Level 2
Level 4 first seen 2026-08-30
Level 3 first seen 2026-08-30

Premier CS Rating

At peak — 12,322
Next: Purple band at 15,000 — 2,678 to go
Reached: Blue band · Light Blue band
Blue band first seen 2026-08-30
Light Blue band first seen 2026-08-30

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

Aim33

Positioning63

Utility57

0–100 skill scores via Leetify.

Recent form

HOT53–44–3Last 10053%Win rateWWLWLWWLWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −1.7pp headshot accuracy · −103ms 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 -0.01
Avg headshot accuracy 18%
Avg reaction 606ms

Last 10

7–3 · 70% win rate
Avg rating -0.02
Avg headshot accuracy 17%
Avg reaction 602ms

Last 20

13–7 · 65% win rate
Avg rating -0.02
Avg headshot accuracy 18%
Avg reaction 654ms

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 (+1.5 against its own average).

Aim3.3

Utility5.7

Positioning6.3

Opening Duels3.9

Clutch3.4

Strong T-side opener

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 53% 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 →

Strengths & areas to improve

Areas to improve

CT openings. Opening success drops from 59% on T to 37% on CT — first contacts on the defending side are being lost.

Reaction time. 650ms 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

Aim3.3

Positioning6.3

Utility5.7

Mechanics4.7

Opening Duels4.5

Win Impact7.2

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time649ms−8ms

first ⅓ avg 657ms → last ⅓ avg 649ms

Headshot accuracy17.1%+1.3%

first ⅓ avg 15.7% → last ⅓ avg 17.1%

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

0.13Best match rating · 13–4 · dust2, 10 Sept →

31%Best headshot accuracy · 13–10 · mirage, 7 Sept →

461msFastest reaction time · 9–13 · vertigo, 14 Sept →

13–2Biggest win · dust2, 16 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak

W2Current streak

9–10In matches decided by ≤2 rounds

15Overtime games

Map breakdown

mirageBest map · 67% over 15nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	33	16–17	48%	-0.02
ancient	A	20	12–8	60%	-0.02
mirage	S	15	10–5	67%	-0.01
anubis	A	10	6–4	60%	-0.04
cache	C	9	4–5	44%	-0.02
nuke	D	5	1–4	20%	-0.03
inferno	—	4	2–2	50%	-0.04
vertigo	—	3	1–2	33%	0.01
office	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,630Matches

48%Win rate

0.88Avg K/D

74.2ADR

42%Headshot %

Clutches & streaks

37%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	489	52%	0.93	13.9
Mirage	323	47%	0.87	13.9
Ancient	268	50%	0.85	13.4
Anubis	175	43%	0.84	13.6
Inferno	124	44%	0.92	14.5
Nuke	98	48%	0.88	14.6
Vertigo	41	39%	0.72	12.0
Train	23	35%	0.86	13.4

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.

17.0%Headshot accuracy

29.8%Accuracy (enemy spotted)

29.7%Spray accuracy

70.9%Counter-strafing

12.7°Preaim

650msReaction time

58.7%T opening success

37.4%CT opening success

0.59Enemies flashed / flash

4.0%Flash assists

8.39HE damage / grenade

12.74Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.6647° — above the 12° mark we flag
Aim Training →

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.

20% win rate across 5 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
ancient	13–11	-0.03	16%	18 Sept →
ancient	13–6	0.03	25%	18 Sept →
ancient	4–13	-0.05	15%	17 Sept →
nuke	13–11	0.01	24%	17 Sept →
mirage	9–13	-0.01	12%	17 Sept →
mirage	13–7	-0.04	14%	17 Sept →
anubis	13–8	-0.03	15%	17 Sept →
dust2	7–13	-0.02	19%	17 Sept →
ancient	13–10	-0.05	11%	16 Sept →
dust2	13–3	-0.00	21%	16 Sept →
dust2	13–2	0.06	24%	16 Sept →
dust2	13–7	-0.03	19%	16 Sept →
mirage	13–9	-0.05	12%	16 Sept →
cache	9–13	-0.09	19%	16 Sept →
inferno	13–9	-0.03	19%	14 Sept →
anubis	13–10	-0.07	20%	14 Sept →
dust2	8–13	0.07	12%	14 Sept →
cache	11–13	-0.04	13%	14 Sept →
cache	13–2	-0.03	23%	14 Sept →
mirage	6–13	0.02	26%	14 Sept →
dust2	8–13	0.07	19%	14 Sept →
vertigo	9–13	0.02	14%	14 Sept →
cache	13–7	0.01	17%	13 Sept →
ancient	13–16	-0.03	13%	13 Sept →
mirage	13–8	0.01	20%	13 Sept →
anubis	4–13	-0.02	9%	13 Sept →
ancient	13–7	0.07	12%	13 Sept →
dust2	7–13	0.01	16%	13 Sept →
mirage	19–17	0.00	16%	13 Sept →
dust2	19–22	-0.09	19%	12 Sept →
inferno	11–13	-0.04	10%	12 Sept →
inferno	13–9	-0.07	26%	12 Sept →
cache	15–15	-0.02	13%	12 Sept →
office	13–8	-0.01	14%	11 Sept →
ancient	7–13	-0.00	17%	11 Sept →
dust2	5–13	-0.01	25%	11 Sept →
ancient	13–9	-0.04	10%	11 Sept →
dust2	13–6	-0.01	9%	11 Sept →
anubis	6–13	-0.13	9%	10 Sept →
dust2	13–6	-0.06	18%	10 Sept →
dust2	13–9	-0.01	13%	10 Sept →
dust2	13–4	0.13	22%	10 Sept →
dust2	13–6	-0.04	15%	10 Sept →
ancient	12–1	0.03	18%	10 Sept →
dust2	13–7	-0.02	13%	9 Sept →
dust2	13–7	-0.03	23%	9 Sept →
ancient	13–10	-0.05	13%	9 Sept →
ancient	6–13	-0.07	25%	9 Sept →
dust2	16–14	-0.03	15%	8 Sept →
dust2	12–16	-0.08	10%	8 Sept →
cache	15–15	0.06	15%	8 Sept →
dust2	15–15	-0.04	29%	7 Sept →
dust2	11–13	-0.03	13%	7 Sept →
mirage	13–10	-0.04	31%	7 Sept →
anubis	10–13	-0.06	10%	7 Sept →
dust2	11–13	0.01	13%	7 Sept →
vertigo	13–6	0.02	15%	7 Sept →
ancient	9–13	0.01	5%	6 Sept →
ancient	13–3	0.07	11%	6 Sept →
vertigo	8–13	-0.02	17%	6 Sept →
dust2	9–13	-0.06	11%	6 Sept →
ancient	22–20	-0.06	18%	6 Sept →
cache	9–13	-0.05	7%	5 Sept →
dust2	13–10	-0.04	18%	5 Sept →
dust2	11–13	-0.07	14%	5 Sept →
anubis	13–7	-0.05	13%	5 Sept →
dust2	13–9	-0.07	26%	4 Sept →
anubis	13–10	-0.00	12%	4 Sept →
ancient	16–14	0.00	10%	4 Sept →
mirage	13–6	-0.02	15%	3 Sept →
nuke	13–16	-0.06	15%	3 Sept →
dust2	11–13	-0.01	12%	2 Sept →
ancient	10–13	-0.04	10%	2 Sept →
nuke	11–13	-0.01	17%	2 Sept →
mirage	13–2	0.07	25%	2 Sept →
mirage	9–13	-0.03	13%	2 Sept →
mirage	7–13	-0.05	13%	1 Sept →
dust2	13–7	-0.01	20%	1 Sept →
ancient	8–13	-0.04	18%	1 Sept →
mirage	13–5	-0.00	18%	1 Sept →
dust2	13–11	0.01	14%	1 Sept →
dust2	10–13	0.06	17%	1 Sept →
mirage	16–13	0.03	20%	31 Aug →
anubis	3–13	-0.03	5%	31 Aug →
ancient	13–5	-0.04	23%	31 Aug →
nuke	9–13	-0.07	20%	31 Aug →
dust2	13–11	-0.06	15%	31 Aug →
mirage	13–16	-0.02	23%	31 Aug →
dust2	4–13	-0.08	23%	31 Aug →
mirage	13–3	-0.08	13%	30 Aug →
cache	16–13	-0.02	20%	30 Aug →
cache	13–11	0.01	12%	30 Aug →
dust2	11–13	-0.10	10%	29 Aug →
nuke	11–13	-0.03	14%	29 Aug →
ancient	16–13	-0.03	6%	29 Aug →
dust2	10–13	-0.01	22%	29 Aug →
anubis	13–9	0.03	14%	29 Aug →
inferno	11–13	-0.02	13%	28 Aug →
anubis	13–10	-0.05	28%	28 Aug →
ancient	2–13	-0.10	10%	28 Aug →