tasm — CS2 Stats

US76561199047931619[U:1:1087665891]Steam profile ↗✓ No bans

2,341Tracked matches50%Win rate2020Tracked since

4,360Hours in CS

CSDB Rating6.0 SolidPassive Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim84

Positioning40

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateLWLLWLLWWW

Last 10 vs previous 10: -10pp win rate · +0.05 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim8.4

Aggression3.3

Utility6.1

Positioning4.0

Opening Duels0.6

Clutch3.0

Strong CT-side openerEffective flashes

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 88% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-fight frequency; lower positioning 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

Areas to improve

Positioning. Positioning trails aim by 44 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 46% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim8.4

Positioning4.0

Utility6.1

Mechanics7.2

Opening Duels2.0

Win Impact5.0

Composite 6.0/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time547ms−68ms

first ⅓ avg 615ms → last ⅓ avg 547ms

Headshot accuracy25.8%−4.6%

first ⅓ avg 30.3% → last ⅓ avg 25.8%

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

0.14Best rating — nuke 13–7

13–1Biggest win — ancient

8Longest win streak

5–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 67% over 6infernoWeakest map · 37% over 19

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	28	17–11	61%	0.01
dust2	B	19	10–9	53%	0.00
inferno	C	19	7–12	37%	0.01
anubis	A	11	6–5	55%	0.02
ancient	C	10	4–6	40%	0.00
nuke	S	6	4–2	67%	0.02
cache	—	3	1–2	33%	-0.03
overpass	—	3	2–1	67%	-0.02
train	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

160,566Lifetime kills

0.99K/D

4,843Matches

50.3%Match win rate · Top 25% of tracked players

52.6%Headshot % · Top 25% of tracked players

17.5%Shot accuracy · Top 25% of tracked players

13,554MVPs

4,360Hours (in match)

5,427Bombs planted

1,615Bombs defused

Most-used weapons

AK-4762,114

AWP26,402

M4A4 / M4A1-S24,082

Desert Eagle15,207

P2000 / USP-S11,789

Glock-185,004

FAMAS3,251

Knife2,879

Galil AR2,855

SSG 081,222

Lifetime map wins

11,252dust2

10,475inferno

4,199vertigo

3,336nuke

2,051train

81cbble

62office

28lake

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

Faceit stats

Combat

3,111Matches

51%Win rate

1.13Avg K/D

80.7ADR

45%Headshot %

Clutches & streaks

35%1v1 clutch win

21%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	183	54%	1.13	17.6
Dust2	160	47%	1.22	18.0
Ancient	99	56%	1.17	18.2
Anubis	85	48%	1.05	16.6
Inferno	84	45%	1.18	17.6
Nuke	37	46%	0.97	14.9
Overpass	9	44%	1.06	14.8
Cache	9	44%	0.87	12.6

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.

27.4%Headshot accuracy

34.5%Accuracy (enemy spotted)

32.7%Spray accuracy

82.6%Counter-strafing

8.3°Preaim

564msReaction time

19.3%T opening success

45.9%CT opening success

0.72Enemies flashed / flash

8.2%Flash assists

8.07HE damage / grenade

9.69Flashes / 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 19.2759% — 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.

37% win rate across 19 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	5–13	0.09	26%	11 Aug →
inferno	16–14	0.02	31%	24 Jul →
mirage	7–13	0.06	30%	24 Jul →
inferno	11–13	0.06	30%	24 Jul →
ancient	13–10	-0.03	28%	24 Jul →
cache	11–13	-0.05	19%	24 Jul →
anubis	1–13	0.10	20%	23 Jul →
anubis	13–7	0.09	15%	22 Jul →
mirage	13–9	0.09	33%	21 Jul →
dust2	13–8	0.01	27%	21 Jul →
mirage	9–0	0.00	0%	21 Jul →
mirage	13–5	0.13	33%	21 Jul →
ancient	7–3	-0.04	33%	20 Jul →
mirage	13–5	0.04	18%	20 Jul →
mirage	13–6	0.08	16%	18 Jul →
inferno	3–13	-0.02	50%	12 Jul →
nuke	7–13	-0.08	40%	9 Jul →
mirage	0–13	-0.13	11%	6 Jul →
cache	8–13	-0.03	32%	6 Jul →
mirage	13–7	-0.04	25%	6 Jul →
mirage	13–9	-0.00	43%	6 Jul →
inferno	0–13	-0.08	27%	6 Jul →
inferno	5–13	-0.02	20%	5 Jul →
dust2	8–13	0.00	33%	4 Jul →
overpass	8–13	0.00	11%	1 Jul →
cache	13–9	-0.01	26%	1 Jul →
anubis	10–13	-0.03	26%	1 Jul →
inferno	13–5	0.02	27%	1 Jul →
mirage	16–19	-0.01	24%	28 Jun →
anubis	13–9	-0.00	38%	28 Jun →
anubis	13–10	0.01	8%	28 Jun →
mirage	5–13	-0.09	22%	28 Jun →
ancient	11–13	0.04	29%	28 Jun →
ancient	11–13	-0.06	17%	28 Jun →
nuke	13–8	-0.09	17%	28 Jun →
anubis	11–13	-0.03	24%	27 Jun →
anubis	13–7	0.02	23%	27 Jun →
mirage	16–12	-0.02	23%	27 Jun →
inferno	19–16	0.06	29%	27 Jun →
inferno	8–13	-0.01	31%	27 Jun →
ancient	7–13	0.03	27%	15 Jun →
dust2	4–13	-0.04	13%	8 Jun →
ancient	22–20	-0.00	21%	8 Jun →
inferno	13–9	-0.02	16%	6 Jun →
ancient	13–1	0.06	29%	5 Jun →
anubis	13–3	0.00	20%	5 Jun →
mirage	19–16	0.02	15%	26 May →
inferno	13–5	0.12	31%	22 May →
anubis	11–13	-0.03	24%	17 May →
inferno	13–1	-0.05	6%	17 May →
mirage	13–7	0.03	18%	12 May →
mirage	11–13	0.02	14%	12 May →
dust2	4–13	-0.03	26%	7 May →
anubis	4–13	-0.03	25%	4 May →
dust2	13–8	0.06	20%	4 May →
dust2	10–13	-0.03	16%	2 May →
dust2	13–11	0.05	34%	2 May →
mirage	13–8	0.03	16%	26 Apr →
mirage	16–12	-0.04	19%	23 Apr →
mirage	13–3	0.04	13%	23 Apr →
nuke	16–13	-0.03	24%	17 Apr →
inferno	6–13	-0.03	36%	28 Mar →
dust2	13–7	0.01	27%	25 Mar →
mirage	2–7	-0.01	13%	21 Mar →
inferno	5–13	0.03	25%	11 Mar →
ancient	8–13	-0.01	31%	2 Mar →
mirage	13–3	0.12	28%	2 Mar →
inferno	11–13	-0.02	33%	17 Feb →
inferno	10–13	0.06	27%	16 Feb →
dust2	1–13	-0.06	15%	16 Feb →
mirage	13–2	-0.04	39%	16 Feb →
dust2	5–13	0.03	25%	14 Feb →
mirage	8–13	0.07	33%	14 Feb →
dust2	13–11	0.07	25%	14 Feb →
inferno	15–15	0.01	30%	14 Feb →
dust2	13–10	-0.01	27%	14 Feb →
dust2	13–3	0.07	14%	9 Feb →
dust2	11–2	-0.01	38%	6 Feb →
inferno	13–11	0.09	33%	6 Feb →
ancient	9–13	-0.01	34%	25 Jan →
dust2	13–2	-0.01	42%	25 Jan →
mirage	8–13	-0.01	16%	19 Jan →
overpass	13–6	-0.03	26%	19 Jan →
inferno	5–10	0.05	26%	19 Jan →
dust2	13–8	-0.03	38%	19 Jan →
dust2	14–16	-0.07	0%	19 Jan →
mirage	13–4	0.03	39%	19 Jan →
train	15–15	-0.02	27%	12 Jan →
anubis	13–7	0.09	34%	11 Jan →
mirage	3–6	-0.04	18%	11 Jan →
dust2	8–13	-0.02	25%	10 Jan →
nuke	13–7	0.14	31%	10 Jan →
mirage	13–16	0.02	35%	10 Jan →
inferno	10–13	0.02	21%	7 Jan →
overpass	13–5	-0.03	27%	22 Dec →
nuke	13–8	0.11	25%	22 Dec →
mirage	0–2	0.02	67%	22 Dec →
nuke	3–13	0.05	69%	21 Dec →
ancient	6–13	0.03	25%	17 Dec →
mirage	13–10	-0.00	36%	17 Dec →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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