mst — CS2 Stats

76561197999041589[U:1:38775861]Steam profile ↗

2,770Tracked matches61%Win rate2020Tracked since

11,741Hours in CS25Hrs last 2 wks

CSDB Rating7.7 StrongAggressive Rifler

Premier CS Rating25,877Top 25% of 819 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)

CSDB Leaderboard#2049 of 19603 tracked

FaceitLevel 10 · 1,992 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

25,877Peak Premier on CSDB

1,992Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 1,992
Next: Level 10 at 2,001 — 9 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-28
Level 8 first seen 2026-08-28

Premier CS Rating

At peak — 25,877
Next: Gold band at 30,000 — 4,123 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

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

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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	65.0%	52.8%
Shot accuracy	19.9%	13.7%
Kill/death ratio	0.99	1.08
Match win rate	51.8%	49.2%

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Performance scores

Aim90

Positioning59

Utility68

0–100 skill scores via Leetify.

Recent form

HOT52–44–4Last 10052%Win rateWWWWLLLWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.0

Aggression7.9

Utility6.8

Positioning5.9

Opening Duels3.3

Clutch2.0

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.

Your pro match

Plays most like b1t 95% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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.

Areas to improve

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

T-side openings. Opening success drops from 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms 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

Positioning5.9

Utility6.8

Mechanics8.4

Opening Duels3.3

Win Impact8.6

Composite 7.7/10 (Strong), 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+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time583ms−73ms

first ⅓ avg 657ms → last ⅓ avg 583ms

Headshot accuracy19.8%−2.0%

first ⅓ avg 21.7% → last ⅓ avg 19.8%

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.

Highlights

0.15Best rating — dust2 13–4

13–0Biggest win — nuke

4Longest win streak

W4Current streak

7–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 80% over 10ancientWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	18	10–8	56%	0.00
nuke	B	17	9–8	53%	0.01
dust2	B	16	8–8	50%	0.01
inferno	B	11	5–6	45%	-0.01
anubis	S	10	8–2	80%	0.01
ancient	D	10	3–7	30%	-0.01
cache	C	9	4–5	44%	-0.00
overpass	S	7	5–2	71%	0.04
vertigo	—	1	0–1	0%	-0.02
train	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

352,143Lifetime kills

0.99K/D

5,797Matches

51.8%Match win rate · Top 50% of Level 10 players

65.0%Headshot % · Top 25% of Level 10 players

19.9%Shot accuracy · Top 5% of Level 10 players

19,334MVPs

16,870Hours (in match)

11,312Bombs planted

4,045Bombs defused

Most-used weapons

AK-47178,060

M4A4 / M4A1-S44,813

Desert Eagle35,575

P2000 / USP-S35,271

AWP16,147

Glock-1813,795

Galil AR6,445

P2504,954

FAMAS4,512

MP94,162

Lifetime map wins

20,422inferno

14,531dust2

12,736nuke

9,280train

5,630vertigo

2,648cbble

569office

411dust

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

Faceit stats

Combat

919Matches

53%Win rate

1.19Avg K/D

81.0ADR

48%Headshot %

Clutches & streaks

30%1v1 clutch win

25%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	41	49%	1.05	15.5
Anubis	33	45%	1.03	13.5
Nuke	30	70%	1.29	16.4
Ancient	25	60%	1.03	13.8
Inferno	24	38%	1.17	17.2
Dust2	21	62%	1.20	17.3
Overpass	16	44%	1.11	14.4
Vertigo	16	62%	0.97	14.3

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.

19.3%Headshot accuracy

43.2%Accuracy (enemy spotted)

45.6%Spray accuracy

87.9%Counter-strafing

9.5°Preaim

587msReaction time

34.9%T opening success

51.8%CT opening success

0.60Enemies flashed / flash

7.6%Flash assists

11.99HE damage / grenade

13.00Flashes / 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 34.8625% — 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.

30% 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
cache	16–13	0.06	32%	26 Aug →
anubis	13–8	0.06	30%	26 Aug →
inferno	13–4	0.04	26%	26 Aug →
nuke	13–7	0.10	25%	26 Aug →
vertigo	11–13	-0.02	15%	25 Aug →
nuke	2–3	0.03	50%	25 Aug →
ancient	10–13	-0.06	13%	25 Aug →
mirage	13–7	0.08	22%	25 Aug →
dust2	13–4	0.01	24%	19 Aug →
dust2	13–9	-0.02	25%	18 Aug →
mirage	11–13	0.00	21%	18 Aug →
nuke	13–5	0.05	15%	18 Aug →
anubis	13–3	-0.02	13%	18 Aug →
cache	8–13	0.05	24%	18 Aug →
mirage	13–6	0.01	16%	18 Aug →
dust2	11–13	0.05	26%	18 Aug →
cache	10–13	-0.02	2%	17 Aug →
dust2	13–6	-0.05	13%	16 Aug →
anubis	13–8	0.02	21%	16 Aug →
ancient	13–1	0.03	14%	16 Aug →
dust2	16–14	0.11	16%	16 Aug →
dust2	5–13	0.04	26%	16 Aug →
mirage	3–13	-0.02	16%	16 Aug →
cache	13–11	-0.01	23%	16 Aug →
mirage	13–10	-0.01	15%	15 Aug →
ancient	6–13	0.01	4%	15 Aug →
inferno	13–11	0.00	15%	15 Aug →
ancient	15–15	0.02	21%	15 Aug →
nuke	8–13	-0.01	18%	12 Aug →
nuke	15–15	-0.06	15%	12 Aug →
inferno	4–13	-0.02	17%	12 Aug →
mirage	4–13	-0.03	17%	12 Aug →
mirage	13–10	0.02	21%	11 Aug →
inferno	13–8	0.00	6%	11 Aug →
ancient	12–16	-0.06	18%	11 Aug →
inferno	13–11	0.05	19%	5 Aug →
cache	10–13	-0.05	27%	5 Aug →
ancient	13–1	-0.01	25%	4 Aug →
nuke	13–8	-0.02	52%	4 Aug →
dust2	13–8	0.05	26%	4 Aug →
cache	5–13	-0.10	14%	4 Aug →
cache	5–13	0.01	35%	4 Aug →
cache	13–5	0.04	19%	3 Aug →
anubis	13–8	0.05	25%	3 Aug →
nuke	13–8	0.03	23%	3 Aug →
ancient	11–13	-0.01	25%	3 Aug →
dust2	13–4	0.15	26%	3 Aug →
mirage	13–5	0.09	30%	3 Aug →
mirage	13–4	-0.04	14%	2 Aug →
nuke	13–0	-0.04	15%	2 Aug →
ancient	15–15	0.06	20%	2 Aug →
mirage	13–5	-0.05	18%	2 Aug →
anubis	10–13	0.04	13%	2 Aug →
ancient	13–8	0.02	28%	2 Aug →
nuke	13–16	0.00	13%	1 Aug →
dust2	11–13	-0.05	13%	31 Jul →
inferno	9–13	0.02	19%	29 Jul →
anubis	13–9	-0.04	18%	29 Jul →
mirage	9–13	-0.01	12%	29 Jul →
nuke	13–4	0.06	22%	15 Jul →
dust2	13–5	0.07	17%	15 Jul →
dust2	6–13	0.02	24%	7 Jul →
train	10–13	0.01	33%	7 Jul →
cache	13–11	-0.00	23%	7 Jul →
mirage	13–10	0.05	27%	1 Jul →
overpass	13–5	0.08	31%	1 Jul →
inferno	8–13	-0.01	20%	1 Jul →
mirage	13–9	0.02	20%	23 Jun →
inferno	9–13	-0.03	22%	23 Jun →
dust2	8–13	-0.05	20%	23 Jun →
anubis	13–10	0.05	14%	21 Jun →
mirage	8–13	-0.03	13%	21 Jun →
overpass	13–6	0.07	20%	21 Jun →
nuke	15–15	0.06	20%	17 Jun →
mirage	13–11	0.03	38%	17 Jun →
anubis	13–5	-0.05	22%	8 Jun →
inferno	13–9	-0.01	16%	8 Jun →
nuke	13–6	-0.05	24%	8 Jun →
dust2	6–13	-0.07	18%	6 Jun →
mirage	9–13	-0.01	25%	6 Jun →
dust2	5–13	-0.08	13%	6 Jun →
anubis	13–7	0.06	22%	6 Jun →
nuke	13–2	0.03	21%	6 Jun →
nuke	9–13	0.09	26%	6 Jun →
overpass	13–11	0.05	29%	6 Jun →
mirage	2–7	-0.02	43%	3 Jun →
overpass	8–13	-0.03	32%	3 Jun →
nuke	16–13	0.04	32%	3 Jun →
inferno	3–13	-0.09	21%	27 May →
inferno	9–13	-0.03	24%	26 May →
dust2	13–6	0.02	14%	25 May →
overpass	13–4	0.01	9%	25 May →
dust2	9–13	-0.04	25%	25 May →
overpass	8–13	0.08	22%	20 May →
mirage	4–13	-0.03	24%	19 May →
anubis	12–16	-0.04	9%	19 May →
nuke	5–13	-0.06	18%	19 May →
overpass	13–3	0.02	11%	19 May →
nuke	11–13	-0.01	16%	13 May →
ancient	7–13	-0.07	33%	13 May →