𝙎𝙃𝙍𝙐𝙉𝙆 — CS2 Stats

76561199367668053[U:1:1407402325]Steam profile ↗✓ No bans

2,936Tracked matches50%Win rate2024Tracked since

CSDB Rating6.6 SolidSupport

Premier CS Rating25,000Top 25% of 175,286 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

CSDB Leaderboard#19530 of 222943 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−378Premier CS Rating · 25,378 → 25,000

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. 18 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: 25,000 -1,885 28 Aug – 17 Sept · 19 days played

26,885Peak Premier in tracked matches

18Days played since 2026-08-28

Premier CS Rating

1,885 below peak (26,885)
Next: Gold band at 30,000 — 5,000 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-28
Pink band first seen 2026-08-28

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

Aim78

Positioning53

Utility59

0–100 skill scores via Leetify.

Recent form

COLD54–42–4Last 10054%Win rateLWLWTLWLTL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +6.8pp headshot accuracy · +27ms reaction

Win rate down 20pp 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 30%
Avg reaction 641ms

Last 10

3–5–2 · 30% win rate
Avg rating 0.00
Avg headshot accuracy 29%
Avg reaction 622ms

Last 20

8–10–2 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 25%
Avg reaction 609ms

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).

Aim7.8

Utility5.9

Positioning5.3

Opening Duels2.1

Clutch3.8

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 sh1ro 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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 57% on T to 33% on CT — first contacts on the defending side are being lost.

Reaction time. 613ms 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

Aim7.8

Positioning5.3

Utility5.9

Mechanics7.5

Opening Duels3.7

Win Impact5.0

Composite 6.6/10 (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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time602ms+2ms

first ⅓ avg 600ms → last ⅓ avg 602ms

Headshot accuracy23.6%−0.5%

first ⅓ avg 24.1% → last ⅓ avg 23.6%

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 · 13–8 · mirage, 7 Sept →

44%Best headshot accuracy · 8–13 · dust2, 6 Sept →

391msFastest reaction time · 5–1 · anubis, 17 Sept →

13–2Biggest win · anubis, 13 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak

6–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 77% over 13nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	27	17–10	63%	0.02
dust2	B	23	11–12	48%	-0.00
inferno	C	19	8–11	42%	0.00
anubis	S	13	10–3	77%	0.01
cache	S	7	5–2	71%	0.01
ancient	D	6	2–4	33%	0.00
nuke	D	5	1–4	20%	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

176Matches

51%Win rate

1.04Avg K/D

76.7ADR

54%Headshot %

Clutches & streaks

39%1v1 clutch win

26%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	44	43%	0.85	12.6
Inferno	29	59%	1.27	17.1
Anubis	24	33%	0.93	14.3
Dust2	23	52%	0.99	15.2
Vertigo	22	59%	1.12	15.9
Ancient	22	59%	1.12	15.4
Nuke	12	58%	1.26	14.9

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.

23.5%Headshot accuracy

33.7%Accuracy (enemy spotted)

36.5%Spray accuracy

83.7%Counter-strafing

8.7°Preaim

613msReaction time

56.7%T opening success

32.8%CT opening success

0.60Enemies flashed / flash

7.8%Flash assists

7.42HE damage / grenade

12.80Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 32.8348% — below the 40% mark we flag

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
anubis	6–13	-0.03	30%	17 Sept →
anubis	5–1	0.02	33%	17 Sept →
inferno	11–13	-0.04	23%	17 Sept →
mirage	13–8	-0.00	39%	15 Sept →
dust2	15–15	0.04	26%	15 Sept →
cache	13–16	-0.03	29%	14 Sept →
anubis	13–11	-0.04	32%	14 Sept →
ancient	11–13	0.02	20%	13 Sept →
inferno	15–15	0.06	27%	13 Sept →
mirage	14–16	0.02	27%	13 Sept →
dust2	7–1	0.06	40%	13 Sept →
ancient	10–13	0.03	15%	13 Sept →
anubis	13–2	0.07	23%	13 Sept →
inferno	7–13	-0.01	24%	13 Sept →
mirage	7–13	-0.02	14%	13 Sept →
mirage	10–13	0.02	22%	12 Sept →
anubis	16–12	-0.05	24%	12 Sept →
anubis	13–6	0.01	16%	12 Sept →
mirage	13–4	0.02	13%	12 Sept →
inferno	11–13	0.00	26%	12 Sept →
dust2	13–11	0.00	30%	12 Sept →
cache	13–2	0.05	38%	12 Sept →
anubis	13–3	0.05	19%	12 Sept →
dust2	9–13	0.05	27%	11 Sept →
mirage	13–10	0.03	21%	11 Sept →
inferno	13–8	0.04	15%	11 Sept →
mirage	13–7	0.05	14%	11 Sept →
inferno	9–13	0.01	14%	11 Sept →
anubis	7–13	-0.07	23%	11 Sept →
dust2	5–13	-0.08	10%	11 Sept →
dust2	13–7	-0.02	16%	11 Sept →
nuke	15–15	0.02	26%	10 Sept →
dust2	13–10	0.02	22%	10 Sept →
cache	13–11	-0.02	19%	10 Sept →
dust2	1–13	-0.06	19%	10 Sept →
dust2	7–13	0.07	33%	9 Sept →
mirage	13–8	0.01	33%	9 Sept →
dust2	4–13	-0.04	31%	9 Sept →
inferno	13–4	0.06	23%	9 Sept →
ancient	9–13	0.00	18%	9 Sept →
mirage	13–11	0.02	25%	8 Sept →
dust2	10–13	-0.01	27%	8 Sept →
ancient	13–6	-0.07	21%	8 Sept →
mirage	4–13	0.05	24%	8 Sept →
mirage	11–13	-0.07	18%	7 Sept →
inferno	13–10	-0.05	32%	7 Sept →
mirage	13–8	0.13	20%	7 Sept →
mirage	13–7	0.04	26%	6 Sept →
ancient	13–3	0.08	14%	6 Sept →
anubis	13–4	0.08	14%	6 Sept →
mirage	12–16	0.00	23%	6 Sept →
nuke	4–13	0.01	21%	6 Sept →
mirage	13–4	-0.02	15%	6 Sept →
anubis	16–13	0.02	24%	6 Sept →
mirage	13–5	0.03	21%	6 Sept →
dust2	8–13	0.03	44%	6 Sept →
mirage	13–6	-0.01	28%	5 Sept →
inferno	13–7	0.07	16%	5 Sept →
mirage	8–1	-0.00	25%	5 Sept →
mirage	13–7	0.02	34%	5 Sept →
anubis	13–8	0.04	17%	5 Sept →
mirage	13–5	0.01	19%	5 Sept →
dust2	13–6	0.07	19%	5 Sept →
inferno	9–13	0.03	37%	5 Sept →
dust2	13–5	-0.08	11%	5 Sept →
mirage	6–13	0.06	18%	5 Sept →
mirage	13–6	0.08	31%	5 Sept →
dust2	11–13	-0.00	25%	5 Sept →
inferno	13–8	0.07	33%	5 Sept →
dust2	13–11	-0.02	36%	5 Sept →
cache	13–2	-0.01	16%	5 Sept →
inferno	13–11	0.01	33%	5 Sept →
mirage	11–13	0.05	28%	5 Sept →
dust2	13–6	0.12	32%	5 Sept →
anubis	13–6	0.12	31%	5 Sept →
mirage	6–13	-0.04	31%	5 Sept →
inferno	4–13	-0.11	15%	5 Sept →
inferno	3–13	-0.04	23%	4 Sept →
nuke	7–13	0.05	30%	4 Sept →
dust2	16–13	-0.04	24%	4 Sept →
dust2	15–15	-0.01	22%	4 Sept →
inferno	10–13	0.10	21%	4 Sept →
anubis	5–13	-0.07	23%	4 Sept →
dust2	8–13	-0.04	21%	4 Sept →
cache	13–3	0.04	19%	4 Sept →
nuke	13–6	-0.03	20%	4 Sept →
cache	4–13	-0.04	20%	3 Sept →
dust2	4–13	0.01	30%	3 Sept →
mirage	13–3	0.01	25%	3 Sept →
mirage	13–7	0.01	13%	3 Sept →
dust2	16–12	-0.07	17%	2 Sept →
inferno	13–16	-0.02	25%	2 Sept →
nuke	6–13	0.00	21%	1 Sept →
inferno	13–10	-0.03	12%	1 Sept →
ancient	8–13	-0.05	17%	31 Aug →
dust2	13–8	0.00	20%	31 Aug →
inferno	13–8	-0.06	30%	30 Aug →
mirage	6–13	-0.01	21%	30 Aug →
inferno	12–16	-0.04	29%	30 Aug →
cache	13–2	0.07	31%	30 Aug →