𝚃𝚊𝚛𝚛𝚘𝚡👽 — CS2 Stats

AE76561198383993917[U:1:423728189]Steam profile ↗✓ No bans

2,161Tracked matches70%Win rate2020Tracked since

CSDB Rating7.4 StrongPositional Player

Premier CS Rating20,774Top 50% of 215,558 CSDB-tracked playersPink band · top ~7.6% of ranked players (population est.)

CSDB Leaderboard#73574 of 261653 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (36 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.

Rating over time

Premier CS Rating: 20,774 -615 26 Apr – 10 Oct · 40 days played

22,221Peak Premier in tracked matches

55Days played since 2026-04-26

Premier CS Rating

1,390 below peak (22,164)
-660 over 30 days · declining
+1,213 over 90 days
Next: Red band at 25,000 — 4,226 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-29
Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim90

Positioning56

Utility52

0–100 skill scores via Leetify.

Recent form

HOT63–37Last 10063%Win rateWLLWWWWWWW

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · −3.6pp headshot accuracy · +57ms 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 -0.02
Avg headshot accuracy 26%
Avg reaction 606ms

Last 10

8–2 · 80% win rate
Avg rating -0.01
Avg headshot accuracy 22%
Avg reaction 619ms

Last 20

15–5 · 75% win rate
Avg rating 0.01
Avg headshot accuracy 24%
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: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim9.0

Utility5.2

Positioning5.6

Opening Duels4.3

Clutch3.4

Sharp aimer

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 NiKo 87% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

CT openings. Opening success drops from 60% on T to 44% on CT — first contacts on the defending side are being lost.

Reaction time. 572ms 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

Aim9.0

Positioning5.6

Utility5.2

Mechanics7.5

Opening Duels5.4

Win Impact10.0

Composite 7.4/10 (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 rating0.02+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time576ms−67ms

first ⅓ avg 642ms → last ⅓ avg 576ms

Headshot accuracy25.5%+4.9%

first ⅓ avg 20.6% → last ⅓ avg 25.5%

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

0.28Best match rating · 13–2 · dust2, 10 Aug →

75%Best headshot accuracy · 0–2 · dust2, 25 Jul →

422msFastest reaction time · 13–6 · dust2, 17 Aug →

13–0Biggest win · nuke, 2 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak

8–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

cacheBest map · 100% over 7ancientWeakest map · 50% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	35	23–12	66%	0.04
mirage	B	26	14–12	54%	0.00
inferno	A	10	6–4	60%	0.02
nuke	A	9	5–4	56%	0.02
cache	S	7	7–0	100%	0.00
anubis	S	6	4–2	67%	0.00
ancient	B	6	3–3	50%	0.01
debris	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,360Matches

52%Win rate

1.03Avg K/D

76.3ADR

42%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	160	52%	1.07	15.7
Dust2	156	62%	1.19	16.8
Ancient	110	49%	0.98	15.1
Inferno	92	36%	0.85	13.7
Anubis	92	42%	0.98	15.7
Nuke	84	58%	1.01	16.0
Vertigo	29	55%	1.05	16.9
Cache	14	57%	1.01	17.5

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.

23.6%Headshot accuracy

41.5%Accuracy (enemy spotted)

46.0%Spray accuracy

84.0%Counter-strafing

9.6°Preaim

572msReaction time

60.0%T opening success

43.6%CT opening success

0.46Enemies flashed / flash

8.2%Flash assists

9.73HE damage / grenade

6.89Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4556 — below the 0.5 mark we flag
Grenade Lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	16–14	-0.05	26%	6 Nov →
mirage	14–16	-0.05	9%	30 Oct →
dust2	9–13	-0.02	26%	10 Oct →
mirage	13–2	0.05	50%	3 Oct →
mirage	13–8	-0.02	18%	26 Sept →
cache	13–6	-0.01	15%	26 Sept →
nuke	16–14	-0.02	11%	26 Sept →
cache	13–9	-0.00	29%	26 Sept →
dust2	13–5	0.00	19%	26 Sept →
anubis	13–3	0.02	15%	26 Sept →
mirage	4–13	-0.00	41%	12 Sept →
inferno	13–11	0.02	16%	10 Sept →
nuke	13–10	0.08	17%	8 Sept →
dust2	13–8	-0.01	28%	5 Sept →
mirage	13–3	0.06	7%	5 Sept →
anubis	9–13	-0.02	25%	5 Sept →
dust2	13–4	0.03	32%	5 Sept →
dust2	2–6	0.05	33%	5 Sept →
cache	13–10	0.02	27%	4 Sept →
debris	9–6	0.09	28%	28 Aug →
nuke	5–13	0.02	29%	26 Aug →
dust2	13–6	0.01	24%	24 Aug →
mirage	13–5	0.04	27%	18 Aug →
inferno	4–7	0.14	22%	17 Aug →
dust2	13–6	0.14	11%	17 Aug →
mirage	13–4	0.09	50%	13 Aug →
dust2	19–17	0.01	21%	13 Aug →
mirage	13–11	0.04	26%	11 Aug →
mirage	0–13	-0.02	39%	11 Aug →
dust2	3–9	0.01	21%	11 Aug →
dust2	13–7	0.03	26%	11 Aug →
dust2	4–13	0.04	32%	10 Aug →
dust2	13–6	0.04	38%	10 Aug →
dust2	13–2	0.28	61%	10 Aug →
anubis	16–14	0.05	20%	10 Aug →
anubis	13–9	-0.03	17%	8 Aug →
inferno	10–13	-0.03	23%	7 Aug →
mirage	10–13	0.01	19%	4 Aug →
ancient	9–13	-0.00	26%	3 Aug →
dust2	13–4	-0.03	19%	3 Aug →
mirage	13–4	0.06	40%	31 Jul →
inferno	13–8	0.03	23%	31 Jul →
mirage	7–13	0.04	38%	31 Jul →
dust2	16–12	0.02	21%	27 Jul →
mirage	13–2	0.11	26%	27 Jul →
dust2	13–5	0.11	28%	27 Jul →
mirage	8–13	-0.03	29%	26 Jul →
dust2	0–2	0.05	75%	25 Jul →
nuke	13–6	0.04	22%	24 Jul →
mirage	3–13	-0.06	38%	24 Jul →
cache	13–7	0.02	14%	24 Jul →
inferno	13–6	-0.00	20%	24 Jul →
mirage	13–10	-0.03	33%	23 Jul →
inferno	13–9	-0.01	14%	23 Jul →
dust2	11–13	0.00	28%	23 Jul →
mirage	0–13	-0.04	0%	23 Jul →
dust2	13–7	0.12	34%	23 Jul →
mirage	5–13	-0.08	13%	12 Jul →
mirage	13–6	-0.04	19%	11 Jul →
dust2	13–10	0.03	20%	11 Jul →
dust2	10–13	-0.00	18%	10 Jul →
ancient	13–4	0.00	11%	10 Jul →
inferno	2–13	-0.05	17%	10 Jul →
dust2	13–9	-0.04	14%	9 Jul →
inferno	13–3	0.08	38%	6 Jul →
dust2	8–13	-0.07	18%	3 Jul →
inferno	6–13	0.05	28%	3 Jul →
nuke	13–0	0.06	14%	2 Jul →
mirage	3–1	-0.04	20%	2 Jul →
ancient	13–1	0.09	11%	2 Jul →
nuke	14–16	0.00	18%	25 Jun →
dust2	2–13	-0.05	33%	23 Jun →
dust2	11–13	-0.01	22%	22 Jun →
mirage	10–13	-0.00	37%	19 Jun →
mirage	13–4	0.03	29%	19 Jun →
dust2	13–8	0.09	15%	19 Jun →
anubis	10–13	0.01	15%	19 Jun →
mirage	13–10	-0.00	15%	9 Jun →
anubis	13–6	-0.02	31%	3 Jun →
dust2	5–13	0.01	28%	1 Jun →
ancient	8–13	-0.02	19%	31 May →
nuke	9–13	-0.03	22%	21 May →
mirage	8–13	-0.01	19%	18 May →
dust2	13–0	0.18	27%	11 May →
dust2	13–9	-0.03	19%	8 May →
ancient	13–2	0.01	13%	7 May →
nuke	8–0	0.00	0%	6 May →
nuke	14–16	0.00	24%	5 May →
mirage	8–13	-0.08	18%	3 May →
ancient	7–13	-0.03	18%	3 May →
mirage	13–11	0.06	17%	3 May →
inferno	13–9	0.00	29%	2 May →
dust2	13–3	0.08	29%	29 Apr →
dust2	3–13	0.03	27%	29 Apr →
dust2	13–8	-0.02	26%	29 Apr →
cache	13–1	0.02	19%	29 Apr →
cache	13–9	0.01	11%	29 Apr →
dust2	13–6	0.17	14%	28 Apr →
dust2	13–4	0.05	17%	26 Apr →
dust2	13–8	-0.01	25%	26 Apr →