Takasu — CS2 Stats

76561198151525135[U:1:191259407]Steam profile ↗✓ No bans

327Tracked matches59%Win rate2020Tracked since

417Hours in CS

CSDB Rating5.1 Developing

Ladder ranks via Leetify

Performance scores

Aim50

Positioning48

Utility51

0–100 skill scores via Leetify.

Recent form

HOT43–49–8Last 10043%Win rateWLWWWWWWLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Aim5.0

Aggression5.2

Utility5.1

Positioning4.8

Opening Duels0.8

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 83% playstyle similarity

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

Where you differ: 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

Areas to improve

Reaction time. 669ms 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

Aim5.0

Positioning4.8

Utility5.1

Mechanics6.7

Opening Duels0.8

Win Impact7.9

Composite 5.1/10 (Developing), 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 -0.00 → last ⅓ avg 0.01

Reaction time666ms+29ms

first ⅓ avg 638ms → last ⅓ avg 666ms

Headshot accuracy13.2%+1.1%

first ⅓ avg 12.0% → last ⅓ avg 13.2%

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.

Highlights

0.14Best rating — overpass 13–10

13–0Biggest win — dust2

6Longest win streak

10–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 70% over 10overpassWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	13–11	54%	0.01
ancient	D	18	6–12	33%	0.00
nuke	C	15	6–9	40%	-0.01
mirage	B	14	7–7	50%	0.01
anubis	S	10	7–3	70%	-0.01
inferno	D	9	2–7	22%	-0.03
overpass	D	6	1–5	17%	0.01
train	—	3	1–2	33%	-0.01
grail	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,601Lifetime kills

0.97K/D

1,038Matches

44.3%Match win rate

40.1%Headshot %

9.7%Shot accuracy

2,056MVPs

417Hours (in match)

1,237Bombs planted

288Bombs defused

Most-used weapons

AK-474,750

M4A4 / M4A1-S2,599

AWP1,437

P2000 / USP-S1,004

Desert Eagle916

P90825

Glock-18774

MP9520

P250459

Tec-9406

Lifetime map wins

3,528dust2

790inferno

745nuke

530vertigo

144train

68cbble

25office

23bank

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.4%Headshot accuracy

35.9%Accuracy (enemy spotted)

31.9%Spray accuracy

80.1%Counter-strafing

11.3°Preaim

669msReaction time

33.8%T opening success

32.7%CT opening success

0.42Enemies flashed / flash

1.7%Flash assists

8.18HE damage / grenade

9.35Flashes / 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 13.4438% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4232 — below the 0.5 mark we flag
Grenade Lineups →
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 33.7967% — below the 40% mark we flag

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–4	0.01	13%	13 Aug →
ancient	11–13	0.04	23%	9 Aug →
mirage	13–4	0.06	10%	23 Jun →
anubis	13–10	-0.01	15%	10 Jun →
ancient	13–10	0.00	7%	10 Jun →
dust2	13–8	0.02	18%	9 Jun →
ancient	13–4	0.02	8%	8 Jun →
anubis	13–6	-0.05	19%	4 Jun →
ancient	14–16	0.01	7%	3 Jun →
ancient	13–5	0.02	9%	3 Jun →
anubis	13–10	-0.04	12%	3 Jun →
anubis	13–4	-0.03	9%	2 Jun →
dust2	13–3	0.02	10%	2 Jun →
inferno	13–16	-0.07	17%	2 Jun →
inferno	10–13	-0.05	16%	30 May →
dust2	13–11	0.01	29%	29 May →
ancient	11–13	0.09	15%	28 May →
inferno	7–13	-0.03	18%	28 May →
anubis	8–13	0.04	13%	28 May →
dust2	13–2	0.07	23%	27 May →
anubis	7–13	-0.03	15%	26 May →
nuke	13–5	0.02	11%	26 May →
ancient	5–13	-0.05	8%	26 May →
mirage	13–11	-0.04	9%	23 May →
nuke	6–13	0.03	16%	22 May →
nuke	16–14	0.07	17%	21 May →
inferno	15–15	-0.03	9%	21 May →
dust2	13–11	-0.01	13%	19 May →
dust2	6–13	0.05	8%	19 May →
inferno	14–16	0.04	6%	15 May →
anubis	13–11	0.01	6%	15 May →
mirage	13–11	0.00	15%	15 May →
anubis	15–15	-0.01	10%	14 May →
dust2	1–13	-0.03	31%	12 May →
inferno	6–13	-0.07	13%	12 May →
dust2	13–5	-0.02	19%	12 May →
mirage	9–13	-0.01	17%	12 May →
nuke	2–13	-0.07	8%	12 May →
dust2	15–15	-0.01	12%	5 May →
dust2	11–13	0.03	25%	5 May →
dust2	13–11	-0.01	10%	15 Apr →
nuke	10–13	-0.03	11%	1 Apr →
dust2	13–16	-0.02	11%	29 Mar →
ancient	5–13	0.01	9%	24 Mar →
dust2	13–7	0.02	14%	7 Feb →
dust2	13–9	0.05	22%	4 Feb →
overpass	13–10	0.14	17%	13 Jan →
dust2	13–16	0.01	7%	29 Oct →
train	10–13	-0.02	9%	27 Oct →
mirage	15–15	-0.00	14%	27 Oct →
overpass	11–13	-0.03	9%	13 Oct →
nuke	8–13	-0.01	26%	6 Oct →
ancient	11–13	0.03	26%	30 Sept →
overpass	10–13	-0.03	14%	29 Sept →
mirage	13–11	0.04	7%	29 Sept →
mirage	13–4	0.06	19%	23 Sept →
ancient	7–13	0.04	13%	23 Sept →
inferno	2–13	-0.04	24%	18 Sept →
nuke	4–13	-0.08	7%	18 Sept →
nuke	6–13	-0.07	9%	17 Sept →
mirage	13–4	0.05	9%	21 Aug →
mirage	9–13	-0.07	9%	20 Aug →
ancient	13–8	-0.04	14%	4 Aug →
nuke	13–9	0.10	11%	4 Aug →
dust2	10–13	0.03	18%	1 Aug →
dust2	13–3	0.00	5%	31 Jul →
ancient	4–13	-0.10	25%	31 Jul →
dust2	6–13	-0.02	25%	30 Jul →
ancient	12–12	0.01	9%	30 Jul →
ancient	12–12	-0.04	14%	29 Jul →
dust2	12–12	0.04	14%	29 Jul →
nuke	12–12	-0.02	19%	29 Jul →
nuke	13–8	-0.01	15%	27 Jul →
dust2	16–12	-0.03	14%	26 Jul →
overpass	9–13	-0.03	8%	26 Jul →
dust2	13–10	0.02	7%	26 Jul →
overpass	10–13	-0.04	12%	25 Jul →
mirage	6–13	0.06	13%	24 Jul →
ancient	13–4	0.08	17%	24 Jul →
nuke	13–7	0.02	8%	24 Jul →
nuke	2–13	-0.06	12%	24 Jul →
overpass	7–13	0.05	11%	24 Jul →
mirage	13–10	0.06	15%	24 Jul →
ancient	9–13	0.03	10%	21 Jul →
dust2	13–0	0.09	11%	18 Jul →
nuke	9–13	-0.01	11%	18 Jul →
mirage	6–13	0.01	22%	18 Jul →
ancient	13–9	0.03	8%	18 Jul →
dust2	8–13	-0.05	4%	18 Jul →
inferno	16–13	0.05	14%	12 Jul →
mirage	4–9	-0.05	12%	11 Jul →
anubis	13–10	0.04	17%	8 Jul →
mirage	4–13	-0.07	16%	7 Jul →
train	13–11	-0.01	6%	4 Jul →
dust2	10–13	-0.04	12%	4 Jul →
grail	0–13	-0.08	17%	4 Jul →
nuke	13–11	0.03	13%	4 Jul →
inferno	13–8	-0.07	6%	3 Jul →
train	7–13	-0.00	5%	1 Jul →
ancient	5–13	-0.09	0%	1 Jul →