𝘽𝙍𝙆 — CS2 Stats

76561199637356233[U:1:1677090505]Steam profile ↗✓ No bans

1,043Tracked matches63%Win rate2024Tracked since

1,196Hours in CS14Hrs last 2 wks

CSDB Rating7.5 StrongPositional Player

Premier CS Rating22,752Top 25% of 213,399 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#46540 of 260017 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 22,752 → 22,752

+7Tracked matches · now 1,043

+7.8ppWin rate · 55.2% → 63.0%

Rating over time

Premier CS Rating: 22,752 +112 26 Aug – 1 Nov · 13 days played

Faceit ELO: 1,449 +0 29 Aug – 21 Sept · 3 observations

22,752Peak Premier in tracked matches

1,449Highest Faceit ELO seen on CSDB

46Days played since 2026-08-10

Premier CS Rating

At peak — 22,752
0 over 30 days · steady
Next: Red band at 25,000 — 2,248 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. 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 7 among CSDB-tracked players (n=14,595), 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 7 median	Level 8 median	vs Level 8
Headshot rate	51.9%	45.7%	46.8%	above
Shot accuracy	0.2%	12.7%	13.0%	12.8% short
Kill/death ratio	1.09	1.05	1.06	above
Match win rate	45.0%	45.7%	46.3%	1.3% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim90

Positioning68

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY50–42–8Last 10050%Win rateTTLWLWLLWW

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · −1.9pp headshot accuracy · +14ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

1–2–2 · 20% win rate
Avg rating -0.01
Avg headshot accuracy 22%
Avg reaction 670ms

Last 10

4–4–2 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 23%
Avg reaction 652ms

Last 20

12–6–2 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 24%
Avg reaction 645ms

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 (+2.3 against its own average).

Aim9.0

Utility4.4

Positioning6.8

Opening Duels3.5

Clutch3.2

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 sh1ro 89% playstyle similarity

Most alike: positioning profile, 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

Strengths

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

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

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 69% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 630ms 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

Positioning6.8

Utility4.4

Mechanics7.4

Opening Duels6.2

Win Impact9.3

Composite 7.5/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time628ms−1ms

first ⅓ avg 629ms → last ⅓ avg 628ms

Headshot accuracy25.4%+2.4%

first ⅓ avg 23.0% → last ⅓ avg 25.4%

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

0.11Best match rating · 13–4 · ancient, 2 Oct →

64%Best headshot accuracy · 13–5 · train, 19 Aug →

438msFastest reaction time · 13–10 · anubis, 24 Aug →

13–1Biggest win · mirage, 1 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak

6–9In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 71% over 7mirageWeakest map · 37% over 19

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	25	13–12	52%	-0.00
mirage	C	19	7–12	37%	0.01
ancient	B	13	6–7	46%	0.01
inferno	C	12	5–7	42%	-0.01
nuke	C	8	3–5	38%	0.00
cache	A	8	5–3	63%	0.01
anubis	S	7	5–2	71%	0.01
vertigo	—	3	2–1	67%	-0.02
train	—	3	3–0	100%	-0.02
overpass	—	2	1–1	50%	0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 19). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,535Lifetime kills

1.09K/D · Top 50% of Level 7 players

1,751Matches

45.0%Match win rate

51.9%Headshot % · Top 25% of Level 7 players

0.2%Shot accuracy

4,260MVPs

878Hours (in match)

943Bombs planted

527Bombs defused

Most-used weapons

AK-4718,660

M4A4 / M4A1-S6,516

AWP3,285

Desert Eagle2,347

P2000 / USP-S1,965

Glock-181,203

UMP-45463

Knife281

SSG 08280

Galil AR252

Lifetime map wins

5,099dust2

1,887inferno

1,264nuke

559vertigo

376train

30cbble

6office

5ar_shoots

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

Faceit stats

Combat

280Matches

49%Win rate

1.26Avg K/D

85.1ADR

46%Headshot %

Clutches & streaks

36%1v1 clutch win

27%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	98	50%	1.30	17.7
Dust2	86	47%	1.24	16.7
Inferno	34	47%	1.29	19.1
Ancient	19	42%	1.15	16.3
Anubis	17	35%	1.04	17.1
Nuke	10	70%	1.50	19.5
Vertigo	6	17%	1.23	17.5
Cache	4	100%	1.39	20.8

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.

25.6%Headshot accuracy

39.7%Accuracy (enemy spotted)

42.1%Spray accuracy

83.2%Counter-strafing

7.2°Preaim

630msReaction time

68.7%T opening success

40.6%CT opening success

0.61Enemies flashed / flash

8.6%Flash assists

5.58HE damage / grenade

5.61Flashes / match

Recommended for you

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	12–12	0.04	18%	5 Nov →
inferno	12–12	0.03	32%	5 Nov →
inferno	7–13	-0.05	18%	5 Nov →
dust2	13–6	-0.03	22%	5 Nov →
mirage	10–13	-0.03	22%	4 Nov →
mirage	13–11	0.09	26%	4 Nov →
mirage	11–13	-0.04	16%	4 Nov →
nuke	8–13	0.04	29%	1 Nov →
mirage	13–1	0.02	23%	1 Nov →
mirage	13–7	0.04	24%	1 Nov →
inferno	13–6	-0.01	28%	1 Nov →
inferno	13–6	-0.02	15%	31 Oct →
vertigo	13–3	0.01	27%	31 Oct →
inferno	13–2	0.00	23%	31 Oct →
mirage	13–6	0.02	24%	31 Oct →
mirage	8–13	0.01	31%	30 Oct →
mirage	4–13	0.03	25%	30 Oct →
nuke	13–11	-0.07	21%	27 Oct →
cache	13–3	0.03	31%	27 Oct →
dust2	13–7	0.03	22%	26 Oct →
anubis	13–8	0.06	31%	25 Oct →
cache	3–13	-0.08	23%	4 Oct →
ancient	13–4	0.11	28%	2 Oct →
ancient	13–5	0.07	26%	24 Sept →
dust2	12–12	-0.01	36%	22 Sept →
overpass	13–10	0.05	28%	21 Sept →
dust2	7–13	-0.02	24%	21 Sept →
dust2	7–13	0.01	23%	21 Sept →
dust2	13–6	0.02	24%	20 Sept →
cache	8–13	0.05	48%	19 Sept →
ancient	9–13	0.02	24%	16 Sept →
dust2	9–13	0.02	22%	16 Sept →
inferno	10–13	-0.03	25%	16 Sept →
mirage	13–4	0.07	31%	13 Sept →
mirage	11–13	0.05	26%	13 Sept →
dust2	5–13	-0.07	17%	13 Sept →
mirage	11–13	-0.00	24%	12 Sept →
dust2	6–13	0.01	11%	9 Sept →
ancient	9–13	0.06	30%	8 Sept →
dust2	13–9	0.02	10%	7 Sept →
dust2	10–13	-0.00	20%	7 Sept →
dust2	13–5	0.02	30%	7 Sept →
dust2	13–4	-0.01	39%	7 Sept →
nuke	12–12	-0.03	21%	6 Sept →
dust2	13–16	-0.01	17%	6 Sept →
cache	13–10	0.04	29%	6 Sept →
nuke	15–15	-0.01	17%	5 Sept →
dust2	3–13	-0.08	26%	5 Sept →
mirage	11–13	0.05	19%	5 Sept →
ancient	16–14	0.04	13%	5 Sept →
inferno	7–13	-0.04	15%	4 Sept →
cache	13–11	-0.03	17%	4 Sept →
anubis	11–13	-0.02	14%	2 Sept →
inferno	10–13	-0.00	18%	1 Sept →
dust2	2–13	0.02	16%	1 Sept →
overpass	12–12	0.03	16%	31 Aug →
mirage	10–13	-0.04	22%	30 Aug →
ancient	9–13	0.00	16%	30 Aug →
ancient	16–14	-0.05	5%	30 Aug →
ancient	3–13	-0.03	13%	30 Aug →
mirage	13–9	-0.05	7%	29 Aug →
ancient	7–13	-0.04	16%	28 Aug →
mirage	13–4	-0.03	15%	28 Aug →
dust2	13–3	-0.04	15%	28 Aug →
anubis	5–13	0.00	19%	27 Aug →
dust2	8–13	-0.03	31%	27 Aug →
mirage	8–13	-0.04	20%	27 Aug →
dust2	13–5	0.07	32%	26 Aug →
anubis	13–3	0.04	21%	26 Aug →
cache	13–6	0.06	26%	26 Aug →
anubis	13–10	0.04	19%	25 Aug →
ancient	3–13	-0.13	21%	25 Aug →
nuke	13–6	0.10	18%	25 Aug →
anubis	13–10	-0.01	26%	24 Aug →
dust2	19–17	-0.01	22%	23 Aug →
anubis	13–10	-0.03	15%	22 Aug →
nuke	11–13	0.00	16%	21 Aug →
ancient	13–10	0.03	13%	21 Aug →
vertigo	10–13	-0.01	29%	21 Aug →
train	13–5	-0.03	64%	19 Aug →
vertigo	13–5	-0.05	21%	19 Aug →
dust2	13–1	0.03	15%	18 Aug →
cache	12–12	-0.03	14%	16 Aug →
inferno	13–7	-0.04	18%	16 Aug →
dust2	13–2	-0.00	40%	16 Aug →
train	13–7	-0.01	17%	16 Aug →
ancient	11–13	-0.02	17%	15 Aug →
nuke	12–12	-0.04	8%	15 Aug →
dust2	13–9	-0.03	27%	15 Aug →
ancient	13–7	0.04	20%	15 Aug →
train	13–3	-0.00	27%	14 Aug →
inferno	13–16	0.02	17%	13 Aug →
mirage	11–13	0.02	16%	12 Aug →
cache	13–6	0.01	33%	12 Aug →
nuke	13–10	0.01	41%	12 Aug →
dust2	11–13	0.03	19%	12 Aug →
inferno	2–13	-0.02	23%	11 Aug →
dust2	13–9	0.02	20%	11 Aug →
mirage	8–13	-0.03	24%	11 Aug →
inferno	13–6	0.05	21%	10 Aug →