ttam — CS2 Stats

US76561198141823124[U:1:181557396]Steam profile ↗✓ No bans

282Tracked matches38%Win rate2022Tracked since

1,158Hours in CS

CSDB Rating3.8 Learning

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim42

Positioning35

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY40–55–5Last 10040%Win rateLWLLWWLLWT

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

Player DNA

Aim4.2

Aggression2.2

Utility4.7

Positioning3.5

Opening Duels0.0

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 72% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Flashes. 0.98 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 692ms 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

Aim4.2

Positioning3.5

Utility4.7

Mechanics6.3

Opening Duels0.6

Win Impact1.0

Composite 3.8/10 (Learning), 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 rating-0.02−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time702ms+19ms

first ⅓ avg 682ms → last ⅓ avg 702ms

Headshot accuracy18.6%+3.3%

first ⅓ avg 15.3% → last ⅓ avg 18.6%

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

0.09Best rating — mirage 13–5

13–4Biggest win — inferno

5Longest win streak

6–8In matches decided by ≤2 rounds

20Overtime games

Map breakdown

infernoBest map · 65% over 20trainWeakest map · 0% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	26	12–14	46%	-0.02
inferno	S	20	13–7	65%	-0.01
nuke	B	16	8–8	50%	-0.02
anubis	C	11	4–7	36%	-0.04
ancient	D	9	2–7	22%	-0.03
train	D	8	0–8	0%	-0.01
dust2	D	7	1–6	14%	-0.04
overpass	—	2	0–2	0%	-0.07
cache	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Lifetime stats

48,164Lifetime kills

0.85K/D

2,258Matches

47.1%Match win rate · Top 50% of tracked players

46.3%Headshot % · Top 50% of tracked players

16.0%Shot accuracy · Top 25% of tracked players

4,578MVPs

1,158Hours (in match)

3,897Bombs planted

540Bombs defused

Most-used weapons

AK-4721,128

M4A4 / M4A1-S11,699

P2000 / USP-S2,320

UMP-452,086

Desert Eagle1,519

Glock-181,348

FAMAS1,049

P250998

Five-SeveN958

AWP848

Lifetime map wins

4,371inferno

3,308dust2

1,685train

1,099nuke

515cbble

43bank

37lake

31vertigo

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

Faceit stats

Combat

25Matches

52%Win rate

0.85Avg K/D

—ADR

44%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWLL

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.

17.7%Headshot accuracy

28.8%Accuracy (enemy spotted)

31.9%Spray accuracy

78.4%Counter-strafing

10.7°Preaim

692msReaction time

24.2%T opening success

34.9%CT opening success

0.98Enemies flashed / flash

3.4%Flash assists

11.31HE damage / grenade

5.94Flashes / 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 24.173% — below the 40% mark we flag

Spend your practice time on Train

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

0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	14–16	-0.01	20%	2 Aug →
inferno	13–5	0.04	10%	2 Aug →
cache	6–13	-0.07	25%	2 Aug →
mirage	9–13	-0.02	23%	2 Aug →
mirage	16–14	-0.00	14%	14 Jun →
inferno	13–8	-0.04	17%	14 Jun →
dust2	6–13	-0.04	17%	24 May →
mirage	7–13	-0.05	19%	24 May →
nuke	13–7	0.03	19%	8 Feb →
mirage	15–15	-0.06	8%	8 Feb →
anubis	8–13	-0.06	17%	6 Feb →
mirage	4–13	-0.04	19%	6 Feb →
anubis	7–13	-0.09	15%	2 Feb →
anubis	16–13	-0.02	13%	2 Feb →
overpass	11–13	-0.06	5%	21 Sept →
nuke	13–16	-0.04	22%	21 Sept →
inferno	10–13	-0.03	24%	6 Sept →
dust2	4–13	-0.12	43%	6 Sept →
inferno	13–8	0.01	22%	2 Sept →
nuke	13–8	0.02	21%	1 Sept →
mirage	16–13	-0.02	16%	1 Sept →
nuke	13–5	0.05	6%	1 Sept →
mirage	13–7	0.02	18%	30 Aug →
dust2	7–13	-0.04	13%	23 Aug →
train	7–13	-0.04	16%	23 Aug →
nuke	3–13	-0.05	16%	23 Aug →
train	14–16	-0.02	15%	18 Aug →
ancient	13–8	0.03	20%	17 Aug →
train	8–13	-0.03	26%	17 Aug →
train	7–13	-0.02	23%	16 Aug →
nuke	16–13	0.01	25%	16 Aug →
mirage	16–13	-0.06	24%	12 Aug →
mirage	13–6	0.01	26%	11 Aug →
train	8–13	-0.08	18%	11 Aug →
ancient	2–13	-0.04	22%	11 Aug →
train	10–13	-0.01	19%	10 Aug →
mirage	8–13	-0.06	24%	10 Aug →
nuke	5–13	-0.06	16%	10 Aug →
nuke	13–5	0.04	19%	9 Aug →
inferno	13–5	0.00	24%	9 Aug →
inferno	13–7	0.01	26%	8 Aug →
mirage	7–2	-0.03	11%	7 Aug →
nuke	2–13	-0.07	26%	7 Aug →
inferno	13–7	0.02	26%	7 Aug →
overpass	4–13	-0.08	16%	4 Aug →
inferno	3–13	-0.09	29%	4 Aug →
mirage	13–5	0.09	20%	4 Aug →
ancient	9–13	0.03	30%	4 Aug →
nuke	3–13	-0.07	14%	3 Aug →
inferno	13–7	0.01	25%	3 Aug →
inferno	0–3	-0.04	33%	3 Aug →
mirage	15–15	-0.01	13%	2 Aug →
inferno	13–6	0.04	24%	2 Aug →
mirage	3–13	0.02	17%	12 Jul →
anubis	12–16	-0.02	18%	12 Jul →
train	14–16	0.02	17%	6 Jul →
inferno	13–7	0.04	21%	6 Jul →
mirage	13–6	0.02	34%	6 Jul →
nuke	16–14	-0.03	20%	6 Jul →
dust2	5–13	-0.06	22%	6 Jul →
inferno	6–13	-0.01	11%	6 Jul →
anubis	5–13	-0.09	15%	6 Jul →
nuke	8–13	-0.05	6%	4 Jul →
anubis	13–11	-0.02	19%	4 Jul →
dust2	7–13	0.02	25%	4 Jul →
inferno	15–15	-0.03	20%	22 Jun →
mirage	2–13	-0.07	8%	22 Jun →
train	5–13	0.07	25%	22 Jun →
ancient	3–13	-0.05	15%	22 Jun →
mirage	13–8	0.04	23%	22 Jun →
nuke	5–13	-0.02	28%	22 Jun →
mirage	13–5	0.02	13%	10 Jun →
anubis	15–15	-0.07	9%	31 May →
dust2	13–5	0.00	16%	31 May →
inferno	16–13	-0.03	14%	31 May →
mirage	13–11	-0.01	12%	31 May →
ancient	4–13	-0.03	11%	2 Dec →
anubis	13–8	-0.01	13%	1 Dec →
inferno	16–13	-0.06	10%	4 Nov →
inferno	13–4	-0.01	13%	27 Oct →
mirage	10–13	-0.01	20%	22 Sept →
nuke	14–16	0.02	19%	9 Aug →
mirage	6–13	-0.02	17%	9 Aug →
ancient	13–8	0.04	10%	15 Jul →
anubis	8–13	-0.08	20%	15 Jul →
inferno	13–4	0.00	24%	14 Jul →
inferno	15–15	-0.04	17%	17 Jun →
mirage	11–13	0.00	22%	17 Jun →
anubis	13–11	0.00	15%	9 Jun →
anubis	6–13	-0.03	19%	9 Jun →
nuke	13–8	-0.03	13%	9 Jun →
mirage	13–11	-0.07	3%	2 Jun →
ancient	4–13	-0.08	16%	2 Jun →
dust2	9–13	-0.04	7%	1 Jun →
mirage	5–13	-0.04	8%	1 Jun →
ancient	11–13	-0.12	14%	1 Jun →
mirage	11–13	-0.07	24%	31 May →
ancient	13–16	-0.04	12%	26 May →
inferno	9–13	0.01	19%	26 May →
nuke	13–7	0.01	7%	26 May →