2𝓱𝔃 — CS2 Stats

MO76561198285595657[U:1:325329929]Steam profile ↗✓ No bans

2,183Tracked matches69%Win rate2021Tracked since

3,406Hours in CS12Hrs last 2 wks

CSDB Rating7.3 StrongAll-Rounder

CSDB Leaderboard#190033 of 220543 tracked

FaceitLevel 10 · 2,255 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,255 → 2,255

+6Tracked matches · now 2,183

+2.3ppWin rate · 66.7% → 69.0%

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. 43 days played since 6 May 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

Faceit ELO: 2,255 +0 5 Sept – 17 Sept · 4 observations

2,255Highest Faceit ELO seen on CSDB

43Days played since 2026-05-06

Faceit ELO

At peak — 2,255
Next: 2,500 ELO at 2,500 — 245 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-09-05
Level 9 first seen 2026-09-05

CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 7 days vs previous 7

Metric	Last 7	Previous 7	Change
Matches	6	3	+3
Win rate	67%	100%	−33pp
K/D	1.84	0.94	+0.90
Headshot %	50%	54%	−4pp

Measured 10 Sep 2026 → 17 Sep 2026; previous 5 Sep 2026 → 10 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 10 among CSDB-tracked players (n=25,925), 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	51.6%	51.0%
Shot accuracy	16.7%	13.7%
Kill/death ratio	0.98	1.09
Match win rate	58.1%	48.4%

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim92

Positioning61

Utility63

0–100 skill scores via Leetify.

Recent form

HOT62–27–11Last 10062%Win rateWWWWLLWWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +4.3pp headshot accuracy · −2ms reaction

Win rate up 30pp 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

4–1 · 80% win rate
Avg rating 0.10
Avg headshot accuracy 23%
Avg reaction 487ms

Last 10

8–2 · 80% win rate
Avg rating 0.05
Avg headshot accuracy 21%
Avg reaction 473ms

Last 20

13–6–1 · 65% win rate
Avg rating 0.04
Avg headshot accuracy 19%
Avg reaction 475ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim9.2

Utility6.3

Positioning6.1

Opening Duels5.9

Clutch6.8

Sharp aimerStrong CT-side opener

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 iM 92% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 64% on CT to 29% 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

Aim9.2

Positioning6.1

Utility6.3

Mechanics6.6

Opening Duels4.3

Win Impact10.0

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.05

Reaction time484ms−44ms

first ⅓ avg 528ms → last ⅓ avg 484ms

Headshot accuracy21.2%+2.9%

first ⅓ avg 18.3% → last ⅓ avg 21.2%

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

0.25Best match rating · 13–3 · dust2, 16 Sept →

58%Best headshot accuracy · 2–13 · dust2, 14 Aug →

359msFastest reaction time · 13–3 · dust2, 16 Sept →

13–0Biggest win · dust2, 30 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak

W4Current streak

7–3In matches decided by ≤2 rounds

1Overtime games

Map breakdown

anubisBest map · 67% over 6ancientWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	75	47–28	63%	0.05
ancient	C	10	4–6	40%	0.04
anubis	S	6	4–2	67%	0.03
mirage	—	3	2–1	67%	0.03
cache	—	3	3–0	100%	0.04
inferno	—	2	2–0	100%	0.04
vertigo	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

142,897Lifetime kills

0.98K/D

3,933Matches

58.1%Match win rate · Top 5% of Level 10 players

51.6%Headshot % · Top 50% of Level 10 players

16.7%Shot accuracy · Top 25% of Level 10 players

18,439MVPs

6,043Hours (in match)

6,321Bombs planted

3,254Bombs defused

Most-used weapons

AK-4769,567

M4A4 / M4A1-S22,444

AWP19,047

Desert Eagle8,279

P2000 / USP-S6,123

Glock-183,912

Galil AR1,941

MP91,717

FAMAS1,544

MAC-101,130

Lifetime map wins

25,797dust2

5,311inferno

2,696vertigo

1,952nuke

695train

16office

6shorttrain

3cbble

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

Faceit stats

Combat

420Matches

60%Win rate

1.20Avg K/D

73.3ADR

43%Headshot %

Clutches & streaks

54%1v1 clutch win

33%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	15	53%	0.95	15.3
Dust2	13	69%	1.05	14.9
Anubis	8	38%	1.04	14.4
Mirage	5	40%	1.02	18.6
Vertigo	2	50%	1.52	22.0
Overpass	1	0%	1.06	17.0
Train	1	0%	0.54	7.0

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.

20.3%Headshot accuracy

41.4%Accuracy (enemy spotted)

43.5%Spray accuracy

79.9%Counter-strafing

8.2°Preaim

478msReaction time

29.4%T opening success

64.2%CT opening success

0.52Enemies flashed / flash

11.1%Flash assists

9.68HE damage / grenade

12.16Flashes / 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 29.4067% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–6	0.06	27%	17 Sept →
dust2	13–6	0.08	12%	17 Sept →
dust2	13–3	0.25	27%	16 Sept →
dust2	13–8	0.08	27%	15 Sept →
dust2	8–13	0.04	23%	15 Sept →
dust2	10–13	-0.02	13%	15 Sept →
dust2	13–11	-0.02	21%	10 Sept →
dust2	13–5	0.03	24%	10 Sept →
dust2	13–11	-0.06	18%	10 Sept →
dust2	13–0	0.08	23%	30 Aug →
dust2	5–13	0.05	17%	27 Aug →
dust2	13–10	0.01	19%	27 Aug →
dust2	12–12	-0.08	11%	25 Aug →
dust2	7–13	-0.01	23%	25 Aug →
dust2	7–13	0.00	25%	25 Aug →
dust2	13–2	0.24	18%	22 Aug →
dust2	2–13	-0.09	11%	22 Aug →
dust2	13–5	0.09	13%	22 Aug →
dust2	13–5	0.07	15%	21 Aug →
dust2	13–8	0.03	18%	21 Aug →
dust2	13–11	-0.01	14%	21 Aug →
dust2	13–4	0.04	18%	21 Aug →
dust2	10–13	-0.02	17%	17 Aug →
dust2	13–7	0.11	26%	17 Aug →
mirage	13–6	0.07	16%	14 Aug →
dust2	13–8	0.16	28%	14 Aug →
dust2	9–13	0.00	18%	14 Aug →
dust2	2–13	0.00	58%	14 Aug →
cache	13–8	-0.01	20%	14 Aug →
dust2	13–5	0.11	21%	11 Aug →
ancient	7–13	0.14	17%	11 Aug →
dust2	13–9	0.08	37%	11 Aug →
dust2	6–13	0.05	25%	3 Aug →
ancient	12–12	0.03	20%	3 Aug →
ancient	13–6	0.08	12%	1 Aug →
dust2	12–12	-0.01	14%	1 Aug →
dust2	13–6	0.10	16%	31 Jul →
cache	13–10	0.08	22%	30 Jul →
dust2	13–5	0.06	24%	30 Jul →
dust2	7–13	0.17	25%	29 Jul →
dust2	12–12	0.05	21%	29 Jul →
dust2	13–8	0.14	27%	28 Jul →
dust2	13–9	0.09	24%	27 Jul →
dust2	12–12	0.09	30%	27 Jul →
dust2	12–12	0.02	31%	27 Jul →
ancient	10–13	0.09	16%	27 Jul →
dust2	13–0	0.17	13%	24 Jul →
ancient	13–11	-0.03	7%	24 Jul →
dust2	5–13	-0.03	10%	24 Jul →
dust2	9–13	-0.02	38%	20 Jul →
dust2	13–11	0.02	18%	20 Jul →
anubis	13–7	0.09	28%	20 Jul →
dust2	13–10	0.04	28%	19 Jul →
dust2	12–12	0.04	25%	19 Jul →
dust2	13–3	0.10	22%	19 Jul →
dust2	11–13	0.04	20%	19 Jul →
dust2	13–7	0.07	36%	16 Jul →
dust2	13–3	0.10	28%	16 Jul →
dust2	13–5	0.08	28%	15 Jul →
dust2	9–13	0.04	15%	12 Jul →
dust2	13–8	0.08	31%	12 Jul →
dust2	13–2	0.16	21%	12 Jul →
dust2	15–15	0.02	17%	11 Jul →
dust2	13–3	0.06	5%	10 Jul →
dust2	13–1	0.12	27%	10 Jul →
dust2	9–13	0.04	21%	28 Jun →
mirage	4–13	0.00	10%	28 Jun →
dust2	13–7	0.07	32%	23 Jun →
anubis	11–13	0.00	15%	23 Jun →
anubis	10–13	-0.04	15%	22 Jun →
inferno	13–4	0.05	14%	18 Jun →
dust2	13–8	0.11	28%	8 Jun →
dust2	13–8	0.08	18%	8 Jun →
dust2	11–13	-0.02	17%	7 Jun →
dust2	12–12	0.01	22%	7 Jun →
dust2	13–9	0.02	8%	6 Jun →
dust2	13–9	0.03	27%	6 Jun →
ancient	10–13	0.03	22%	6 Jun →
dust2	12–12	-0.01	30%	5 Jun →
mirage	13–5	0.02	17%	5 Jun →
dust2	13–1	0.05	39%	5 Jun →
anubis	13–8	0.01	21%	4 Jun →
dust2	13–8	0.08	20%	4 Jun →
ancient	13–10	0.01	5%	4 Jun →
dust2	12–12	-0.01	18%	4 Jun →
vertigo	7–13	-0.05	9%	2 Jun →
anubis	13–2	0.11	24%	2 Jun →
dust2	6–13	-0.03	22%	2 Jun →
ancient	8–13	0.08	16%	2 Jun →
ancient	13–5	0.04	13%	30 May →
inferno	13–5	0.02	20%	30 May →
ancient	6–13	-0.05	19%	28 May →
dust2	13–5	-0.04	7%	28 May →
dust2	13–11	-0.01	13%	28 May →
dust2	13–9	-0.02	16%	26 May →
dust2	13–11	0.06	16%	25 May →
dust2	13–0	0.06	6%	25 May →
dust2	13–10	0.03	20%	20 May →
cache	13–6	0.04	10%	20 May →
anubis	13–7	-0.01	27%	6 May →