𝘽𝙡𝙞𝙩𝙯ø — CS2 Stats

IR76561199653510222[U:1:1693244494]Steam profile ↗✓ No bans

560Tracked matches87%Win rate2024Tracked since

919Hours in CS

CSDB Rating4.2 DevelopingSupport

Premier CS Rating25,105Top 25% of 175,286 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)

CSDB Leaderboard#18208 of 220000 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). 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. 28 days played since 4 Jul 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: 25,105 +8,149 4 Jul – 16 Sept · 14 days played

25,105Peak Premier in tracked matches

28Days played since 2026-07-04

Premier CS Rating

At peak — 25,105
+6,581 over 30 days · improving
Next: Gold band at 30,000 — 4,895 to go
Reached: Red band · Pink band · Purple band · Blue band

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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=12,738), 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 8 median	Level 9 median	vs Level 9
Headshot rate	55.9%	46.8%	48.3%	above
Shot accuracy	0.0%	13.0%	13.2%	13.2% short
Kill/death ratio	0.98	1.06	1.07	0.09 short
Match win rate	49.6%	46.3%	46.9%	above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim43

Positioning18

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY72–26–2Last 10072%Win rateWWWWWWLLLW

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · +9.1pp headshot accuracy · +70ms reaction

Win rate down 30pp 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

5–0 · 100% win rate
Avg rating -0.04
Avg headshot accuracy 30%
Avg reaction 656ms

Last 10

7–3 · 70% win rate
Avg rating -0.06
Avg headshot accuracy 32%
Avg reaction 625ms

Last 20

17–3 · 85% win rate
Avg rating -0.04
Avg headshot accuracy 27%
Avg reaction 590ms

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 (+1.6 against its own average).

Aim4.3

Utility3.7

Positioning1.8

Opening Duels0.0

Clutch3.0

Limited 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 Twistzz 85% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

Reaction time. 659ms 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

Aim4.3

Positioning1.8

Utility3.7

Mechanics5.2

Opening Duels0.0

Win Impact10.0

Composite 4.2/10 (Developing), 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-0.03−0.04

first ⅓ avg 0.01 → last ⅓ avg -0.03

Reaction time655ms−16ms

first ⅓ avg 672ms → last ⅓ avg 655ms

Headshot accuracy27.7%+1.7%

first ⅓ avg 26.0% → last ⅓ avg 27.7%

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 · 13–7 · office, 9 Jul →

100%Best headshot accuracy · 0–13 · mirage, 15 Sept →

328msFastest reaction time · 13–8 · inferno, 17 Jul →

13–0Biggest win · mirage, 16 Sept →

Across the last 100 tracked matches.

Highlights

14Longest win streak

W6Current streak

5–3In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 86% over 7anubisWeakest map · 60% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	32	22–10	69%	-0.01
mirage	S	32	21–11	66%	-0.01
inferno	S	11	9–2	82%	0.02
nuke	S	7	6–1	86%	-0.01
anubis	A	5	3–2	60%	-0.02
cache	A	5	3–2	60%	0.03
ancient	—	4	4–0	100%	-0.02
office	—	3	3–0	100%	0.08
overpass	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (60% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,551Lifetime kills

0.98K/D

2,657Matches

49.6%Match win rate · Top 25% of Level 8 players

55.9%Headshot % · Top 25% of Level 8 players

0.0%Shot accuracy

7,789MVPs

919Hours (in match)

2,235Bombs planted

538Bombs defused

Most-used weapons

AK-4717,951

M4A4 / M4A1-S8,543

Desert Eagle5,272

AWP3,103

P2000 / USP-S1,930

Glock-181,147

SSG 08860

Galil AR756

MP9622

Knife500

Lifetime map wins

10,492dust2

2,512inferno

2,409nuke

399vertigo

295train

123office

21italy

2ar_shoots

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

Faceit stats

Combat

231Matches

56%Win rate

0.97Avg K/D

77.7ADR

56%Headshot %

Clutches & streaks

35%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	75	59%	1.02	15.4
Dust2	55	58%	0.93	15.3
Ancient	36	50%	1.03	16.9
Inferno	23	57%	0.84	12.4
Nuke	19	53%	1.09	15.6
Anubis	18	56%	0.87	14.1
Cache	4	50%	0.89	21.5
Train	1	0%	0.88	14.0

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.

27.4%Headshot accuracy

23.9%Accuracy (enemy spotted)

29.3%Spray accuracy

73.2%Counter-strafing

11.2°Preaim

659msReaction time

20.0%T opening success

26.9%CT opening success

0.63Enemies flashed / flash

12.3%Flash assists

7.69HE damage / grenade

2.00Flashes / 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 2.0024 — below the 4 mark we flag
Grenade Lineups →
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% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–2	-0.06	38%	16 Sept →
mirage	10–5	-0.06	30%	16 Sept →
dust2	13–3	-0.04	20%	16 Sept →
mirage	13–0	-0.03	10%	16 Sept →
dust2	13–0	0.00	50%	15 Sept →
nuke	13–0	0.02	42%	15 Sept →
mirage	0–13	-0.09	100%	15 Sept →
mirage	1–13	-0.15	0%	15 Sept →
dust2	12–13	-0.09	0%	15 Sept →
dust2	13–7	-0.12	29%	15 Sept →
dust2	13–2	-0.02	0%	15 Sept →
anubis	13–1	-0.01	0%	15 Sept →
inferno	13–1	-0.01	56%	14 Sept →
nuke	13–0	-0.03	0%	14 Sept →
inferno	13–2	-0.06	17%	14 Sept →
dust2	4–0	-0.06	0%	14 Sept →
dust2	13–0	0.01	38%	14 Sept →
dust2	13–1	-0.01	27%	14 Sept →
mirage	13–0	-0.01	50%	14 Sept →
mirage	4–0	0.03	40%	14 Sept →
dust2	13–3	-0.05	22%	14 Sept →
mirage	13–2	0.01	40%	14 Sept →
inferno	13–0	-0.03	33%	14 Sept →
inferno	10–13	-0.01	22%	14 Sept →
mirage	13–3	-0.01	33%	14 Sept →
dust2	13–0	0.00	36%	14 Sept →
mirage	13–2	0.00	33%	14 Sept →
mirage	13–6	-0.04	26%	14 Sept →
inferno	5–1	-0.03	20%	14 Sept →
dust2	13–3	-0.02	40%	14 Sept →
mirage	13–1	0.08	20%	14 Sept →
dust2	16–13	-0.07	25%	14 Sept →
mirage	13–5	-0.01	18%	14 Sept →
dust2	10–13	-0.09	23%	14 Sept →
ancient	4–2	-0.08	18%	14 Sept →
mirage	13–11	-0.00	23%	13 Sept →
mirage	13–11	-0.02	15%	12 Sept →
dust2	16–13	0.05	28%	12 Sept →
mirage	13–3	0.09	33%	12 Sept →
ancient	13–1	-0.03	17%	11 Sept →
inferno	9–5	0.14	13%	10 Sept →
dust2	4–13	0.04	27%	10 Sept →
office	13–5	-0.01	28%	3 Sept →
anubis	0–9	-0.03	0%	30 Aug →
cache	13–2	0.15	31%	26 Aug →
nuke	13–7	-0.02	17%	23 Aug →
anubis	2–13	-0.01	41%	23 Aug →
dust2	10–13	-0.02	35%	22 Aug →
ancient	13–2	0.02	21%	18 Aug →
inferno	11–13	-0.04	20%	11 Aug →
mirage	4–13	-0.04	25%	11 Aug →
cache	13–7	-0.04	30%	24 Jul →
nuke	13–8	-0.04	9%	24 Jul →
mirage	1–13	0.02	39%	23 Jul →
anubis	13–11	0.02	24%	22 Jul →
mirage	3–13	-0.08	0%	20 Jul →
nuke	13–1	-0.02	42%	20 Jul →
inferno	9–6	0.02	27%	20 Jul →
mirage	13–8	0.04	23%	20 Jul →
mirage	13–7	-0.02	33%	20 Jul →
cache	7–13	0.01	9%	19 Jul →
dust2	13–3	0.04	24%	19 Jul →
mirage	13–9	-0.02	24%	19 Jul →
dust2	7–13	0.06	20%	17 Jul →
inferno	13–8	0.15	44%	17 Jul →
dust2	13–5	0.12	25%	17 Jul →
cache	13–5	0.08	25%	16 Jul →
cache	9–13	-0.02	18%	16 Jul →
mirage	13–16	0.03	24%	16 Jul →
anubis	13–11	-0.07	13%	14 Jul →
mirage	15–15	0.01	16%	14 Jul →
nuke	1–13	-0.05	0%	14 Jul →
dust2	13–5	-0.05	18%	11 Jul →
dust2	13–5	-0.03	31%	11 Jul →
mirage	11–13	0.01	26%	11 Jul →
office	13–4	0.07	31%	9 Jul →
office	13–7	0.18	33%	9 Jul →
mirage	7–13	-0.05	25%	7 Jul →
mirage	13–4	-0.01	28%	7 Jul →
inferno	13–8	0.04	23%	7 Jul →
mirage	7–13	-0.03	23%	6 Jul →
nuke	13–4	0.09	28%	5 Jul →
mirage	2–9	-0.05	25%	5 Jul →
inferno	13–2	0.05	35%	5 Jul →
mirage	13–6	-0.00	28%	5 Jul →
dust2	5–13	-0.16	33%	5 Jul →
mirage	13–8	0.07	25%	5 Jul →
mirage	16–12	0.10	27%	5 Jul →
ancient	13–8	-0.00	32%	5 Jul →
dust2	3–13	-0.05	50%	5 Jul →
dust2	13–1	-0.04	20%	5 Jul →
overpass	13–7	0.09	20%	5 Jul →
dust2	7–13	0.06	28%	4 Jul →
dust2	13–6	0.00	18%	4 Jul →
dust2	15–15	-0.03	24%	4 Jul →
dust2	13–3	0.03	26%	4 Jul →
dust2	13–2	0.08	29%	4 Jul →
mirage	13–2	0.06	28%	4 Jul →
dust2	3–13	-0.07	50%	4 Jul →
dust2	13–6	0.15	25%	4 Jul →