sha1a1a1a🦐 — CS2 Stats

TW76561198157331318[U:1:197065590]Steam profile ↗✓ No bans

1,233Tracked matches50%Win rate2020Tracked since

2,822Hours in CS

CSDB Rating6.9 SolidSupport

Premier CS Rating26,239Top 10% of 215,386 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)

CSDB Leaderboard#12215 of 261527 tracked

FaceitLevel 10 · 2,023 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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: 26,239 +35 15 Mar – 12 Nov · 27 days played

27,450Peak Premier in tracked matches

2,023Highest Faceit ELO seen on CSDB

55Days played since 2026-03-15

Faceit ELO

At peak — 2,023
Next: 2,500 ELO at 2,500 — 477 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-09-08
Level 9 first seen 2026-09-08

Premier CS Rating

1,211 below peak (27,450)
-1,211 over 90 days
Next: Gold band at 30,000 — 3,761 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-09-08
Pink band first seen 2026-09-08

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 10 among CSDB-tracked players (n=30,986), 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	44.5%	50.9%
Shot accuracy	10.9%	13.7%
Kill/death ratio	1.30	1.09
Match win rate	53.9%	48.4%

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Performance scores

Aim83

Positioning64

Utility75

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateLWLWLWWLLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +0.4pp headshot accuracy · −16ms 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

2–3 · 40% win rate
Avg rating 0.04
Avg headshot accuracy 18%
Avg reaction 475ms

Last 10

4–6 · 40% win rate
Avg rating 0.02
Avg headshot accuracy 17%
Avg reaction 470ms

Last 20

9–10–1 · 45% win rate
Avg rating 0.02
Avg headshot accuracy 17%
Avg reaction 477ms

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 (+2.2 against its own average).

Aim8.3

Utility7.5

Positioning6.4

Opening Duels3.0

Clutch4.2

Strong CT-side openerEffective flashesHigh utility contribution

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 b1t 83% playstyle similarity

Most alike: positioning profile, 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

T-side openings. Opening success drops from 53% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3

Positioning6.4

Utility7.5

Mechanics5.8

Opening Duels3.2

Win Impact5.0

Composite 6.9/10 (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 time488ms−90ms

first ⅓ avg 578ms → last ⅓ avg 488ms

Headshot accuracy17.8%−0.6%

first ⅓ avg 18.4% → last ⅓ avg 17.8%

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

0.16Best match rating · 13–3 · dust2, 29 Mar →

41%Best headshot accuracy · 13–10 · dust2, 17 Jun →

375msFastest reaction time · 13–10 · anubis, 22 Oct →

13–0Biggest win · mirage, 23 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak

5–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 67% over 6cacheWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	22	11–11	50%	0.03
dust2	A	19	12–7	63%	0.04
mirage	C	19	8–11	42%	0.03
anubis	A	16	10–6	63%	0.03
cache	C	10	4–6	40%	0.00
nuke	S	6	4–2	67%	-0.03
inferno	—	4	2–2	50%	0.06
vertigo	—	2	0–2	0%	-0.02
overpass	—	2	1–1	50%	0.05

Across the last 100 tracked matches.

Lifetime stats

148,696Lifetime kills

1.30K/D · Top 25% of Level 10 players

6,637Matches

53.9%Match win rate · Top 25% of Level 10 players

44.5%Headshot %

10.9%Shot accuracy

18,212MVPs

2,822Hours (in match)

7,690Bombs planted

1,638Bombs defused

Most-used weapons

AK-4747,401

AWP21,380

M4A4 / M4A1-S19,426

Desert Eagle10,154

P2000 / USP-S7,851

Glock-186,751

MP93,404

MAC-103,355

Galil AR2,840

P2502,555

Lifetime map wins

19,158dust2

9,868inferno

3,295vertigo

2,790nuke

775train

604office

201cbble

200italy

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

Faceit stats

Combat

803Matches

53%Win rate

1.24Avg K/D

84.8ADR

42%Headshot %

Clutches & streaks

41%1v1 clutch win

26%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	143	53%	1.29	18.6
Ancient	103	55%	1.22	17.7
Anubis	87	56%	1.26	17.7
Inferno	71	46%	1.21	17.8
Vertigo	63	67%	1.40	19.1
Nuke	39	44%	1.31	17.3
Dust2	35	43%	1.22	17.5
Overpass	30	67%	1.19	16.8

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.

17.8%Headshot accuracy

36.0%Accuracy (enemy spotted)

40.1%Spray accuracy

76.3%Counter-strafing

7.8°Preaim

486msReaction time

31.9%T opening success

53.4%CT opening success

0.71Enemies flashed / flash

11.9%Flash assists

6.31HE damage / grenade

23.71Flashes / 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
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 31.9332% — below the 40% mark we flag

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	14–16	0.05	13%	12 Nov →
dust2	13–10	0.04	16%	12 Nov →
inferno	10–13	0.10	13%	12 Nov →
mirage	13–10	0.04	27%	5 Nov →
mirage	3–13	-0.03	22%	30 Oct →
anubis	16–13	0.01	19%	30 Oct →
anubis	13–10	0.06	20%	22 Oct →
ancient	2–13	-0.00	16%	7 Oct →
mirage	4–13	-0.05	6%	7 Oct →
ancient	9–13	0.01	17%	5 Oct →
mirage	13–10	0.01	14%	12 Sept →
anubis	12–12	-0.02	11%	2 Sept →
ancient	13–7	0.09	15%	2 Sept →
mirage	13–8	0.09	18%	2 Sept →
dust2	13–5	0.04	19%	2 Sept →
dust2	4–13	-0.05	16%	27 Aug →
mirage	9–13	-0.02	16%	27 Aug →
ancient	7–13	-0.08	11%	17 Aug →
ancient	13–11	0.03	13%	15 Aug →
dust2	3–13	0.07	32%	12 Aug →
ancient	15–15	-0.04	9%	6 Aug →
dust2	13–8	0.10	31%	5 Aug →
ancient	5–13	0.02	24%	27 Jul →
mirage	13–9	0.08	22%	27 Jul →
ancient	0–13	-0.02	0%	26 Jul →
dust2	13–7	-0.02	24%	26 Jul →
mirage	13–7	0.07	30%	24 Jul →
mirage	13–0	0.08	24%	23 Jul →
cache	12–16	-0.03	16%	23 Jul →
dust2	1–13	-0.01	28%	23 Jul →
vertigo	9–13	0.03	16%	23 Jul →
anubis	6–13	0.10	11%	23 Jul →
mirage	15–15	0.04	19%	22 Jul →
dust2	13–10	0.05	27%	18 Jul →
ancient	13–7	0.13	19%	18 Jul →
dust2	13–10	0.15	25%	16 Jul →
dust2	13–5	0.11	24%	14 Jul →
anubis	4–13	-0.02	21%	14 Jul →
cache	13–3	0.07	25%	12 Jul →
nuke	16–13	-0.00	13%	12 Jul →
anubis	13–2	0.03	15%	12 Jul →
ancient	13–2	0.09	11%	12 Jul →
ancient	10–13	0.03	17%	12 Jul →
vertigo	5–13	-0.07	13%	8 Jul →
mirage	5–13	0.00	13%	8 Jul →
cache	13–5	0.04	13%	8 Jul →
cache	12–12	0.01	15%	4 Jul →
anubis	13–3	0.11	17%	2 Jul →
ancient	13–5	0.10	12%	2 Jul →
dust2	3–13	-0.07	20%	2 Jul →
dust2	13–1	0.03	17%	26 Jun →
mirage	13–11	-0.01	17%	26 Jun →
dust2	13–10	0.04	41%	17 Jun →
anubis	13–8	0.01	16%	13 Jun →
overpass	11–13	0.00	12%	3 Jun →
mirage	7–13	0.10	15%	3 Jun →
ancient	13–9	0.04	20%	29 May →
ancient	13–10	0.02	24%	28 May →
anubis	13–6	0.03	14%	15 May →
ancient	9–13	0.04	22%	15 May →
cache	9–13	-0.03	20%	15 May →
nuke	13–8	-0.04	11%	14 May →
anubis	13–11	0.01	16%	10 May →
anubis	13–9	0.05	17%	8 May →
cache	13–5	-0.02	16%	2 May →
cache	10–13	-0.02	10%	1 May →
cache	6–13	-0.02	15%	29 Apr →
cache	5–13	-0.02	19%	29 Apr →
cache	13–9	0.04	20%	29 Apr →
ancient	13–8	0.09	13%	22 Apr →
inferno	12–12	0.03	9%	22 Apr →
ancient	13–5	0.03	21%	15 Apr →
nuke	13–6	-0.05	18%	15 Apr →
nuke	1–13	-0.07	25%	15 Apr →
ancient	9–13	0.01	20%	12 Apr →
anubis	13–8	0.11	24%	12 Apr →
dust2	13–10	0.08	19%	8 Apr →
nuke	13–8	0.03	14%	7 Apr →
ancient	14–16	-0.02	17%	7 Apr →
dust2	5–13	-0.04	35%	6 Apr →
anubis	11–13	0.03	16%	5 Apr →
mirage	10–13	0.06	30%	3 Apr →
anubis	11–13	0.01	14%	3 Apr →
inferno	13–9	-0.00	11%	1 Apr →
anubis	13–9	-0.03	18%	1 Apr →
ancient	11–13	0.07	19%	29 Mar →
mirage	7–13	0.06	15%	29 Mar →
dust2	13–3	0.16	19%	29 Mar →
mirage	16–14	-0.02	13%	27 Mar →
ancient	13–5	-0.05	7%	27 Mar →
inferno	13–5	0.11	23%	26 Mar →
mirage	3–13	-0.03	13%	26 Mar →
dust2	12–12	0.06	26%	26 Mar →
ancient	13–10	0.02	17%	25 Mar →
dust2	4–13	0.04	38%	24 Mar →
mirage	11–13	0.07	19%	24 Mar →
nuke	7–13	-0.07	18%	24 Mar →
overpass	16–14	0.11	17%	18 Mar →
dust2	13–4	-0.02	11%	15 Mar →
mirage	5–13	-0.05	10%	15 Mar →