𝗡𝗢𝗕𝗜𝗧𝗔 — CS2 Stats

CX76561199259359997[U:1:1299094269]Steam profile ↗✓ No bans

1,908Tracked matches57%Win rate2023Tracked since

2,922Hours in CS

CSDB Rating6.1 SolidPositional Player

Premier CS Rating20,106Top 50% of 185,711 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)

CSDB Leaderboard#73823 of 231526 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−10Premier CS Rating · 20,116 → 20,106

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. 26 days played since 12 Aug 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: 20,106 +943 12 Aug – 20 Sept · 28 days played

21,174Peak Premier in tracked matches

26Days played since 2026-08-12

Premier CS Rating

568 below peak (20,674)
+1,470 over 30 days · improving
Next: Red band at 25,000 — 4,894 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-16
Purple band first seen 2026-09-07

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

Compare periods

Last 7 days vs previous 7

Metric	Last 7	Previous 7	Change
Matches	69	17	+52
Win rate	29%	24%	+5pp
K/D	1.13	0.99	+0.13
Headshot %	37%	36%	+1pp

Measured 11 Sep 2026 → 20 Sep 2026; previous 7 Sep 2026 → 11 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=9,169), 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 3 median	Level 4 median	vs Level 4
Headshot rate	30.7%	41.9%	42.7%	12.0% short
Shot accuracy	12.4%	12.2%	11.3%	above
Kill/death ratio	1.18	0.98	0.99	above
Match win rate	26.3%	43.3%	43.9%	17.6% short

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

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim78

Positioning48

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY56–39–5Last 10056%Win rateWLWLWTLLWL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +1.4pp headshot accuracy · −26ms reaction

Win rate down 20pp 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 13%
Avg reaction 541ms

Last 10

4–5–1 · 40% win rate
Avg rating 0.02
Avg headshot accuracy 13%
Avg reaction 527ms

Last 20

10–9–1 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 12%
Avg reaction 539ms

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 (+1.7 against its own average).

Aim7.8

Utility4.4

Positioning4.8

Opening Duels0.1

Strong CT-side openerLimited 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 sh1ro 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower 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

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

T-side openings. Opening success drops from 46% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Positioning4.8

Utility4.4

Mechanics7.4

Opening Duels2.0

Win Impact7.4

Composite 6.1/10 (Solid), 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 rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time558ms−19ms

first ⅓ avg 577ms → last ⅓ avg 558ms

Headshot accuracy13.3%+1.9%

first ⅓ avg 11.5% → last ⅓ avg 13.3%

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

0.21Best match rating · 13–6 · mirage, 14 Sept →

100%Best headshot accuracy · 1–13 · anubis, 8 Sept →

359msFastest reaction time · 2–11 · mirage, 14 Aug →

13–1Biggest win · dust2, 27 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak

9–11In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 71% over 17anubisWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	36	24–12	67%	0.01
inferno	S	17	12–5	71%	0.00
ancient	B	15	7–8	47%	0.02
dust2	C	13	5–8	38%	-0.01
anubis	D	11	3–8	27%	-0.01
nuke	S	6	4–2	67%	0.06
cache	—	2	1–1	50%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

310,734Lifetime kills

1.18K/D · Top 25% of Level 3 players

14,123Matches

26.3%Match win rate

30.7%Headshot %

12.4%Shot accuracy · Top 50% of Level 3 players

12,437MVPs

2,922Hours (in match)

3,316Bombs planted

575Bombs defused

Most-used weapons

AK-47104,996

M4A4 / M4A1-S50,943

AWP28,830

Galil AR12,421

Knife8,860

Zeus x278,099

P907,925

Desert Eagle6,435

MP75,982

P2000 / USP-S5,574

Lifetime map wins

7,363dust2

6,644vertigo

4,855inferno

3,433nuke

2,233cbble

568ar_shoots

321safehouse

300ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.4%Headshot accuracy

41.7%Accuracy (enemy spotted)

45.0%Spray accuracy

83.1%Counter-strafing

11.5°Preaim

556msReaction time

16.6%T opening success

46.2%CT opening success

0.49Enemies flashed / flash

6.3%Flash assists

7.61HE damage / grenade

4.54Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.3664% — below the 15% mark we flag
Aim Training →
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 0.4859 — below the 0.5 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 16.5877% — below the 40% mark we flag

Spend your practice time on Anubis

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	12–3	0.06	17%	20 Sept →
mirage	5–13	-0.02	16%	20 Sept →
mirage	13–3	0.05	11%	20 Sept →
ancient	11–13	0.00	13%	20 Sept →
nuke	13–2	0.12	9%	19 Sept →
mirage	15–15	0.00	11%	18 Sept →
ancient	8–13	-0.00	13%	18 Sept →
dust2	11–13	-0.00	19%	18 Sept →
anubis	13–7	0.05	10%	18 Sept →
dust2	6–13	-0.02	11%	18 Sept →
ancient	14–16	0.05	11%	18 Sept →
inferno	13–6	0.05	10%	17 Sept →
ancient	13–16	0.03	11%	17 Sept →
inferno	7–13	-0.08	10%	17 Sept →
mirage	13–7	-0.03	9%	17 Sept →
inferno	13–6	-0.00	16%	17 Sept →
nuke	13–10	0.09	11%	16 Sept →
mirage	13–3	0.07	16%	16 Sept →
inferno	5–7	0.04	15%	16 Sept →
ancient	13–9	0.01	7%	16 Sept →
mirage	13–11	-0.01	9%	15 Sept →
dust2	11–13	-0.03	16%	15 Sept →
inferno	13–10	0.02	26%	15 Sept →
mirage	13–6	0.21	20%	14 Sept →
inferno	13–4	0.11	7%	14 Sept →
inferno	8–13	-0.05	25%	14 Sept →
inferno	6–13	0.02	6%	13 Sept →
dust2	15–15	0.01	10%	13 Sept →
mirage	13–10	0.05	6%	11 Sept →
inferno	13–10	-0.00	4%	11 Sept →
ancient	13–5	0.11	39%	11 Sept →
mirage	13–11	0.06	14%	9 Sept →
mirage	13–6	-0.01	12%	9 Sept →
inferno	16–14	-0.07	8%	8 Sept →
inferno	16–13	0.02	12%	8 Sept →
anubis	2–13	-0.07	14%	8 Sept →
anubis	1–13	-0.02	100%	8 Sept →
inferno	3–13	-0.06	6%	8 Sept →
dust2	13–8	-0.03	20%	5 Sept →
mirage	13–6	0.03	12%	5 Sept →
ancient	11–13	0.03	13%	5 Sept →
nuke	13–9	0.07	10%	4 Sept →
ancient	16–14	-0.02	8%	4 Sept →
mirage	13–4	0.09	12%	3 Sept →
nuke	15–15	0.00	10%	3 Sept →
mirage	10–13	0.03	15%	3 Sept →
anubis	1–13	-0.07	10%	3 Sept →
cache	13–8	-0.01	13%	3 Sept →
dust2	13–4	0.04	11%	3 Sept →
mirage	1–13	0.01	24%	1 Sept →
dust2	1–13	-0.04	18%	1 Sept →
anubis	13–16	0.01	16%	1 Sept →
anubis	4–13	0.02	13%	1 Sept →
mirage	6–13	-0.10	14%	1 Sept →
anubis	13–2	0.11	8%	1 Sept →
ancient	2–13	-0.03	5%	1 Sept →
mirage	13–11	-0.02	12%	1 Sept →
mirage	16–14	0.05	15%	31 Aug →
anubis	7–13	-0.00	11%	31 Aug →
cache	0–13	-0.01	11%	31 Aug →
ancient	2–10	-0.05	19%	31 Aug →
mirage	13–10	0.00	14%	29 Aug →
mirage	13–6	-0.02	7%	29 Aug →
anubis	7–13	-0.04	10%	29 Aug →
anubis	11–13	-0.05	9%	29 Aug →
inferno	13–7	0.05	15%	29 Aug →
mirage	13–3	-0.01	17%	29 Aug →
mirage	13–3	0.07	10%	28 Aug →
ancient	13–9	-0.00	17%	28 Aug →
dust2	13–1	0.08	7%	27 Aug →
mirage	13–10	0.04	12%	27 Aug →
dust2	5–13	0.03	5%	27 Aug →
mirage	11–13	-0.03	9%	23 Aug →
mirage	13–5	0.01	3%	22 Aug →
inferno	13–10	-0.01	6%	22 Aug →
mirage	9–13	-0.00	14%	21 Aug →
anubis	13–9	-0.01	18%	21 Aug →
inferno	13–10	0.01	15%	21 Aug →
ancient	13–11	0.11	11%	21 Aug →
mirage	15–15	-0.01	12%	21 Aug →
mirage	4–13	0.01	9%	19 Aug →
dust2	13–6	-0.06	10%	19 Aug →
mirage	13–8	0.02	15%	17 Aug →
inferno	13–5	0.05	19%	17 Aug →
dust2	13–11	-0.02	14%	17 Aug →
mirage	13–10	-0.05	16%	17 Aug →
nuke	13–5	0.10	11%	17 Aug →
mirage	2–11	-0.05	5%	14 Aug →
dust2	6–13	0.03	16%	14 Aug →
inferno	13–5	-0.00	11%	14 Aug →
ancient	14–16	-0.04	9%	14 Aug →
nuke	11–13	-0.03	8%	14 Aug →
dust2	15–15	-0.05	13%	14 Aug →
mirage	11–13	-0.01	8%	14 Aug →
mirage	13–1	-0.03	17%	14 Aug →
ancient	13–5	-0.01	19%	12 Aug →
mirage	13–2	0.03	13%	12 Aug →
mirage	13–8	0.02	12%	12 Aug →
mirage	13–11	0.03	8%	12 Aug →
mirage	9–13	-0.01	7%	12 Aug →