🌎 　　　🛸 — CS2 Stats

MX76561198210996841[U:1:250731113]Steam profile ↗✓ No bans

3,434Tracked matches31%Win rate2020Tracked since

6,901Hours in CS44Hrs last 2 wks

CSDB Rating5.9 SolidPositional Player

Premier CS Rating26,941Top 5% of 180,525 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)

CSDB Leaderboard#5899 of 226308 tracked

FaceitLevel 9 · 2,048 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (4 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.

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. 23 days played since 19 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: 26,941 +563 19 Aug – 18 Sept · 13 days played

Faceit ELO: 2,048 +0 3 Sept – 18 Sept · 3 observations

27,722Peak Premier in tracked matches

2,048Highest Faceit ELO seen on CSDB

23Days played since 2026-08-19

Faceit ELO

At peak — 2,048
Next: 2,500 ELO at 2,500 — 452 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-09-03
Level 9 first seen 2026-09-03

Premier CS Rating

542 below peak (27,483)
+563 over 30 days · improving
Next: Gold band at 30,000 — 3,059 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-09-03
Pink band first seen 2026-09-03

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 9 among CSDB-tracked players (n=12,915), 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 9 median	Level 10 median	vs Level 10
Headshot rate	49.6%	48.3%	51.0%	1.4% short
Shot accuracy	10.6%	13.2%	13.7%	3.1% short
Kill/death ratio	1.79	1.07	1.09	above
Match win rate	50.0%	46.9%	48.4%	above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim85

Positioning54

Utility49

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateLLWLTLLWLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +6.1pp headshot accuracy · +31ms 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

1–3–1 · 20% win rate
Avg rating 0.00
Avg headshot accuracy 29%
Avg reaction 489ms

Last 10

2–7–1 · 20% win rate
Avg rating -0.00
Avg headshot accuracy 30%
Avg reaction 521ms

Last 20

5–14–1 · 25% win rate
Avg rating -0.01
Avg headshot accuracy 27%
Avg reaction 506ms

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 (+1.3 against its own average).

Aim8.5

Utility4.9

Positioning5.4

Opening Duels2.8

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 sh1ro 93% playstyle similarity

Most alike: opening-duel success, 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

Areas to improve

Positioning. Positioning trails aim by 31 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.

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

Aim8.5

Positioning5.4

Utility4.9

Mechanics6.7

Opening Duels2.4

Win Impact0.0

Composite 5.9/10 (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 rating-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time489ms+22ms

first ⅓ avg 467ms → last ⅓ avg 489ms

Headshot accuracy24.7%−1.7%

first ⅓ avg 26.3% → last ⅓ avg 24.7%

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

0.10Best match rating · 13–5 · mirage, 31 Aug →

49%Best headshot accuracy · 13–10 · cache, 1 Sept →

297msFastest reaction time · 9–13 · inferno, 25 Aug →

13–2Biggest win · dust2, 4 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L2Current streak

7–14In matches decided by ≤2 rounds

14Overtime games

Map breakdown

cacheBest map · 54% over 13infernoWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	18	9–9	50%	-0.01
dust2	C	16	7–9	44%	-0.01
ancient	B	16	8–8	50%	0.01
anubis	B	15	7–8	47%	-0.00
cache	B	13	7–6	54%	0.00
inferno	C	13	5–8	38%	-0.03
nuke	C	8	3–5	38%	-0.01
train	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

282,947Lifetime kills

1.79K/D · Top 5% of Level 9 players

6,052Matches

50.0%Match win rate · Top 25% of Level 9 players

49.6%Headshot % · Top 50% of Level 9 players

10.6%Shot accuracy

18,647MVPs

3,874Hours (in match)

7,168Bombs planted

1,760Bombs defused

Most-used weapons

AK-47112,706

Knife65,099

M4A4 / M4A1-S26,945

AWP25,982

Desert Eagle11,143

P2000 / USP-S10,347

Glock-186,804

FAMAS4,634

Galil AR3,245

SSG 082,978

Lifetime map wins

10,244inferno

7,728dust2

4,249nuke

2,916vertigo

1,691train

756office

577cbble

215safehouse

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

Faceit stats

Combat

2,264Matches

50%Win rate

1.16Avg K/D

80.0ADR

48%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	293	46%	1.08	15.9
Anubis	202	47%	1.13	16.5
Ancient	183	48%	1.07	16.9
Dust2	163	46%	1.04	15.3
Inferno	158	48%	1.16	15.5
Nuke	109	51%	1.16	17.4
Vertigo	44	61%	1.22	17.9
Cache	31	58%	1.32	16.2

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.

24.6%Headshot accuracy

32.3%Accuracy (enemy spotted)

32.4%Spray accuracy

80.0%Counter-strafing

7.3°Preaim

484msReaction time

39.1%T opening success

39.9%CT opening success

0.53Enemies flashed / flash

4.7%Flash assists

8.49HE damage / grenade

8.54Flashes / 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.

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 39.072% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	10–13	-0.03	39%	16 Sept →
anubis	4–13	0.03	39%	16 Sept →
ancient	13–9	0.04	30%	14 Sept →
dust2	14–16	0.00	19%	11 Sept →
cache	15–15	-0.04	18%	10 Sept →
mirage	4–13	-0.03	29%	10 Sept →
cache	13–16	-0.03	30%	10 Sept →
ancient	13–11	0.06	34%	9 Sept →
ancient	3–13	-0.06	25%	8 Sept →
cache	9–13	0.04	40%	8 Sept →
anubis	14–16	0.00	24%	8 Sept →
dust2	13–9	-0.04	21%	7 Sept →
nuke	10–13	0.06	31%	7 Sept →
cache	10–13	-0.03	25%	7 Sept →
anubis	16–12	-0.01	13%	7 Sept →
ancient	12–16	-0.04	23%	7 Sept →
cache	11–13	-0.06	27%	7 Sept →
ancient	8–13	0.00	33%	6 Sept →
anubis	13–7	0.00	19%	6 Sept →
mirage	3–13	-0.03	25%	6 Sept →
dust2	6–13	-0.03	14%	6 Sept →
ancient	15–19	-0.02	18%	5 Sept →
nuke	14–16	-0.02	16%	5 Sept →
mirage	13–7	0.02	14%	5 Sept →
inferno	9–13	-0.03	21%	5 Sept →
ancient	16–14	-0.04	17%	5 Sept →
dust2	13–2	-0.04	33%	4 Sept →
anubis	9–13	0.00	25%	3 Sept →
mirage	13–4	-0.00	14%	3 Sept →
ancient	13–16	0.00	32%	3 Sept →
dust2	13–10	0.02	17%	3 Sept →
ancient	13–7	0.05	25%	3 Sept →
dust2	10–13	0.01	24%	3 Sept →
anubis	14–16	0.01	0%	3 Sept →
mirage	7–13	-0.02	30%	3 Sept →
cache	13–10	-0.04	28%	3 Sept →
nuke	9–13	0.02	35%	2 Sept →
nuke	8–13	-0.02	38%	2 Sept →
dust2	11–13	0.03	41%	2 Sept →
ancient	5–13	-0.04	19%	2 Sept →
nuke	13–9	-0.00	24%	2 Sept →
inferno	13–8	-0.06	25%	2 Sept →
dust2	3–13	-0.03	31%	2 Sept →
inferno	16–14	-0.01	27%	2 Sept →
inferno	12–12	-0.05	21%	2 Sept →
dust2	6–13	-0.05	32%	1 Sept →
nuke	4–13	-0.05	29%	1 Sept →
cache	13–10	0.02	49%	1 Sept →
mirage	0–13	-0.04	0%	1 Sept →
mirage	13–2	-0.07	21%	1 Sept →
nuke	13–6	-0.03	25%	1 Sept →
dust2	10–13	-0.08	13%	31 Aug →
mirage	13–5	0.10	29%	31 Aug →
cache	13–4	0.08	40%	31 Aug →
inferno	13–4	-0.05	33%	31 Aug →
ancient	8–13	0.09	30%	31 Aug →
inferno	9–13	0.01	26%	31 Aug →
mirage	13–9	0.02	33%	31 Aug →
inferno	11–13	-0.03	33%	31 Aug →
mirage	9–1	0.01	42%	30 Aug →
train	13–11	0.08	27%	30 Aug →
mirage	13–8	-0.03	14%	30 Aug →
cache	13–11	0.00	23%	30 Aug →
mirage	13–2	-0.00	28%	28 Aug →
anubis	10–13	-0.05	32%	28 Aug →
mirage	11–13	-0.03	24%	28 Aug →
inferno	11–13	0.04	24%	28 Aug →
ancient	13–5	0.03	30%	28 Aug →
anubis	10–2	-0.08	14%	27 Aug →
anubis	13–5	0.01	32%	27 Aug →
ancient	13–10	-0.01	21%	27 Aug →
inferno	8–13	-0.03	30%	27 Aug →
dust2	13–6	0.01	24%	27 Aug →
cache	13–5	0.09	27%	27 Aug →
mirage	6–13	-0.07	35%	27 Aug →
mirage	7–13	0.05	28%	27 Aug →
cache	13–6	0.04	38%	27 Aug →
ancient	13–4	0.05	21%	27 Aug →
dust2	6–13	0.01	26%	26 Aug →
anubis	13–4	-0.01	25%	26 Aug →
mirage	13–7	0.09	28%	26 Aug →
anubis	10–13	-0.01	23%	26 Aug →
nuke	13–5	-0.01	34%	26 Aug →
inferno	9–13	0.01	19%	25 Aug →
mirage	7–13	-0.02	23%	25 Aug →
ancient	11–13	0.00	21%	25 Aug →
inferno	13–11	-0.03	42%	25 Aug →
inferno	9–13	-0.03	29%	25 Aug →
dust2	13–2	0.05	22%	24 Aug →
cache	11–13	-0.04	14%	23 Aug →
cache	13–11	0.03	27%	23 Aug →
dust2	16–12	-0.02	18%	23 Aug →
anubis	13–4	0.03	22%	23 Aug →
mirage	11–13	-0.03	31%	23 Aug →
anubis	13–8	-0.06	24%	20 Aug →
dust2	13–4	-0.00	19%	20 Aug →
anubis	11–13	0.04	29%	20 Aug →
ancient	19–16	-0.01	43%	20 Aug →
anubis	11–13	0.02	28%	20 Aug →
inferno	13–7	-0.08	24%	19 Aug →