Tsm𝔸ck — CS2 Stats

76561197967049464[U:1:6783736]Steam profile ↗✓ No bans

2,019Tracked matches33%Win rate2020Tracked since

CSDB Rating4.5 DevelopingSupport

Premier CS Rating10,530Blue band · top ~52.1% of ranked players (population est.)

CSDB Leaderboard#5835 of 7996 tracked

FaceitLevel 6 · 1,320 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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

Aim64

Positioning37

Utility78

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLLLWWLLWLW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim6.4

Aggression3.0

Utility7.8

Positioning3.7

Opening Duels0.0

Clutch0.2

Effective flashesHigh utility contribution

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 NiKo 79% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; lower 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

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

Reaction time. 617ms 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

Aim6.4

Positioning3.7

Utility7.8

Mechanics6.1

Opening Duels0.3

Win Impact0.0

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time632ms−16ms

first ⅓ avg 649ms → last ⅓ avg 632ms

Headshot accuracy15.1%+0.7%

first ⅓ avg 14.5% → last ⅓ avg 15.1%

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

0.11Best rating — inferno 13–5

13–2Biggest win — inferno

8Longest win streak

L3Current streak

8–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 67% over 9cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	24	9–15	38%	-0.01
inferno	A	18	11–7	61%	0.01
nuke	C	18	8–10	44%	-0.01
mirage	C	12	5–7	42%	-0.00
anubis	S	9	6–3	67%	-0.01
ancient	D	9	3–6	33%	-0.02
cache	D	6	1–5	17%	0.00
overpass	—	4	1–3	25%	-0.05

Across the last 100 tracked matches.

Faceit stats

Combat

1,591Matches

49%Win rate

1.09Avg K/D

66.3ADR

37%Headshot %

Clutches & streaks

21%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	12	58%	1.22	13.0
Mirage	11	64%	0.83	11.6
Ancient	10	70%	0.76	12.6
Anubis	9	78%	0.74	16.0
Dust2	8	12%	0.59	8.5
Overpass	4	75%	1.53	16.3
Vertigo	3	33%	1.15	16.3
Train	1	0%	0.50	9.0

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.

14.9%Headshot accuracy

37.6%Accuracy (enemy spotted)

39.8%Spray accuracy

77.3%Counter-strafing

11.2°Preaim

617msReaction time

23.0%T opening success

32.4%CT opening success

0.70Enemies flashed / flash

3.5%Flash assists

11.83HE damage / grenade

16.00Flashes / 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.

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 14.9408% — below the 15% mark we flag
Aim Training →
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 22.964% — below the 40% mark we flag

Spend your practice time on Cache

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	11–13	0.02	9%	27 Aug →
anubis	3–13	-0.12	13%	27 Aug →
inferno	6–13	0.01	19%	27 Aug →
nuke	13–7	0.03	15%	27 Aug →
dust2	13–7	-0.02	21%	27 Aug →
cache	6–13	0.00	11%	25 Aug →
dust2	8–13	0.00	7%	25 Aug →
nuke	16–14	0.05	20%	24 Aug →
nuke	1–13	-0.05	42%	24 Aug →
nuke	13–4	-0.01	24%	24 Aug →
anubis	13–8	0.03	20%	24 Aug →
mirage	8–13	-0.05	16%	24 Aug →
inferno	13–6	-0.01	12%	23 Aug →
anubis	13–8	0.03	16%	23 Aug →
dust2	4–13	-0.04	6%	21 Aug →
nuke	7–13	-0.01	12%	21 Aug →
dust2	7–13	-0.07	19%	21 Aug →
mirage	10–13	0.04	17%	21 Aug →
anubis	13–16	0.02	14%	21 Aug →
cache	9–13	-0.00	13%	21 Aug →
cache	8–13	-0.02	12%	20 Aug →
anubis	13–8	-0.04	11%	19 Aug →
dust2	12–16	-0.00	11%	11 Aug →
ancient	7–13	0.04	19%	8 Aug →
nuke	10–13	0.01	13%	7 Aug →
dust2	0–4	-0.04	0%	7 Aug →
nuke	13–6	-0.00	21%	7 Aug →
ancient	10–13	0.02	17%	6 Aug →
dust2	13–6	-0.01	7%	6 Aug →
dust2	10–13	-0.06	7%	6 Aug →
nuke	1–6	-0.02	20%	5 Aug →
anubis	6–13	0.01	19%	5 Aug →
cache	13–5	0.08	15%	5 Aug →
dust2	16–14	-0.00	18%	4 Aug →
inferno	13–7	0.04	15%	4 Aug →
nuke	3–13	-0.07	7%	1 Aug →
inferno	13–11	-0.02	12%	1 Aug →
mirage	13–5	0.02	21%	31 Jul →
inferno	13–5	0.11	26%	30 Jul →
dust2	13–4	0.05	22%	30 Jul →
dust2	11–13	0.02	22%	23 Jul →
dust2	14–16	0.01	21%	23 Jul →
dust2	11–13	-0.01	18%	21 Jul →
ancient	6–13	-0.08	22%	14 Jul →
dust2	9–13	0.04	27%	13 Jul →
inferno	13–11	-0.01	13%	24 Jun →
mirage	16–14	0.01	19%	18 Jun →
dust2	9–13	-0.04	10%	16 May →
nuke	7–13	-0.04	13%	16 May →
mirage	9–13	0.00	19%	11 May →
nuke	13–10	-0.01	16%	10 May →
inferno	13–6	-0.03	40%	10 May →
ancient	15–15	-0.01	17%	9 May →
ancient	5–13	-0.07	6%	5 May →
nuke	13–4	0.05	6%	5 May →
ancient	15–15	-0.03	22%	2 May →
inferno	9–13	-0.01	16%	1 May →
nuke	9–13	-0.08	6%	1 May →
mirage	13–11	-0.03	5%	30 Apr →
dust2	13–8	0.04	20%	30 Apr →
nuke	8–13	-0.03	23%	30 Apr →
ancient	13–9	-0.02	16%	30 Apr →
inferno	8–13	-0.01	13%	30 Apr →
mirage	4–13	-0.09	4%	30 Apr →
dust2	13–10	-0.02	12%	29 Apr →
inferno	13–8	0.02	9%	29 Apr →
inferno	11–13	-0.02	17%	29 Apr →
cache	5–13	-0.06	26%	29 Apr →
ancient	13–11	0.02	15%	28 Apr →
mirage	7–13	0.05	22%	28 Apr →
inferno	15–15	-0.05	7%	27 Apr →
overpass	13–10	-0.04	18%	25 Apr →
dust2	9–13	-0.00	9%	25 Apr →
inferno	7–13	-0.02	19%	25 Apr →
dust2	15–15	0.03	23%	25 Apr →
nuke	13–8	-0.01	16%	25 Apr →
nuke	13–16	-0.04	6%	24 Apr →
overpass	8–13	-0.06	14%	23 Apr →
inferno	9–13	-0.03	17%	23 Apr →
nuke	13–10	0.01	17%	22 Apr →
anubis	13–9	0.04	20%	21 Apr →
mirage	8–13	0.01	23%	21 Apr →
dust2	13–5	0.00	27%	21 Apr →
mirage	14–16	0.02	12%	21 Apr →
overpass	11–13	-0.04	11%	21 Apr →
ancient	13–9	-0.05	23%	21 Apr →
nuke	3–13	-0.03	15%	21 Apr →
dust2	6–13	-0.02	6%	19 Apr →
mirage	13–3	-0.01	9%	19 Apr →
overpass	8–13	-0.04	5%	19 Apr →
dust2	13–7	-0.03	12%	19 Apr →
dust2	2–13	-0.04	18%	18 Apr →
inferno	13–2	0.03	20%	18 Apr →
inferno	13–11	0.07	19%	18 Apr →
mirage	13–7	-0.02	8%	17 Apr →
inferno	13–10	0.09	17%	17 Apr →
inferno	13–2	0.03	12%	17 Apr →
anubis	13–9	-0.02	5%	16 Apr →
anubis	13–6	-0.05	0%	16 Apr →
dust2	16–12	0.04	8%	16 Apr →