☣TD☣ Malagar™ — CS2 Stats

76561198263380183[U:1:303114455]

1,961Tracked matches41%Win rate2020Tracked since

6,418Hours in CS14Hrs last 2 wks

CSDB Rating2.7 Learning

Premier CS Rating5,604Light Blue band · top ~75.9% of ranked players (population est.)

CSDB Leaderboard#13381 of 17558 tracked

WingmanGold Nova Master

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

Aim35

Positioning27

Utility34

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWLWLLLWWLL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Aim3.5

Aggression2.9

Utility3.4

Positioning2.7

Opening Duels0.0

Clutch0.0

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 68% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

Reaction time. 648ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.5

Positioning2.7

Utility3.4

Mechanics3.9

Opening Duels0.6

Win Impact2.1

Composite 2.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time664ms−62ms

first ⅓ avg 725ms → last ⅓ avg 664ms

Headshot accuracy11.5%−0.3%

first ⅓ avg 11.9% → last ⅓ avg 11.5%

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 — fachwerk 13–4

13–2Biggest win — nuke

4Longest win streak

5–10In matches decided by ≤2 rounds

Map breakdown

trainBest map · 100% over 5cacheWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	15	5–10	33%	-0.03
inferno	C	14	6–8	43%	-0.02
nuke	B	10	5–5	50%	-0.05
shelter	C	9	4–5	44%	-0.04
mirage	C	9	4–5	44%	-0.04
vertigo	B	8	4–4	50%	-0.03
office	C	7	3–4	43%	-0.01
fachwerk	A	7	4–3	57%	0.00
train	S	5	5–0	100%	-0.01
ancient	—	4	1–3	25%	-0.04
alpine	—	4	2–2	50%	0.02
anubis	—	3	1–2	33%	-0.00
boulder	—	2	2–0	100%	-0.03
italy	—	1	1–0	100%	-0.05
warden	—	1	0–1	0%	-0.01
overpass	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Lifetime stats

181,320Lifetime kills

1.14K/D · Top 50% of tracked players

11,765Matches

41.2%Match win rate

34.2%Headshot %

15.8%Shot accuracy · Top 25% of tracked players

20,598MVPs

3,351Hours (in match)

7,137Bombs planted

1,787Bombs defused

Most-used weapons

AK-4723,317

AUG22,671

SG 55320,347

M4A4 / M4A1-S15,094

P9013,507

UMP-458,805

AWP8,168

P2000 / USP-S6,680

Galil AR5,790

MP95,666

Lifetime map wins

21,522nuke

12,885office

6,990dust2

3,844vertigo

3,130inferno

1,905train

1,572italy

762lake

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

Faceit stats

Combat

14Matches

36%Win rate

0.95Avg K/D

80.6ADR

37%Headshot %

Clutches & streaks

0%1v1 clutch win

29%1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	3	33%	0.93	12.7
Inferno	3	33%	0.87	11.0
Mirage	2	50%	1.14	13.5
Vertigo	2	0%	0.96	17.5
Nuke	2	100%	1.16	18.5
Overpass	1	0%	0.57	8.0

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.

12.0%Headshot accuracy

32.9%Accuracy (enemy spotted)

27.4%Spray accuracy

67.8%Counter-strafing

10.3°Preaim

648msReaction time

21.7%T opening success

34.8%CT opening success

0.36Enemies flashed / flash

3.4%Flash assists

14.90HE damage / grenade

4.12Flashes / 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 12.0153% — 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 0.3622 — 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 21.7423% — 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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
office	13–8	0.03	10%	26 Aug →
shelter	11–13	-0.11	12%	23 Aug →
shelter	4–0	-0.02	0%	23 Aug →
ancient	8–13	-0.02	21%	22 Aug →
nuke	11–13	-0.08	10%	22 Aug →
ancient	7–13	-0.07	11%	22 Aug →
mirage	12–10	-0.10	13%	22 Aug →
nuke	13–7	-0.02	13%	21 Aug →
ancient	10–13	-0.07	10%	21 Aug →
fachwerk	11–13	-0.04	13%	16 Aug →
shelter	13–10	0.03	11%	16 Aug →
vertigo	4–13	-0.03	11%	15 Aug →
inferno	13–8	0.00	15%	15 Aug →
anubis	4–13	-0.06	10%	15 Aug →
inferno	6–13	-0.04	9%	14 Aug →
shelter	5–13	-0.10	18%	11 Aug →
fachwerk	4–13	-0.08	6%	10 Aug →
fachwerk	13–4	0.03	8%	9 Aug →
nuke	13–5	-0.00	22%	9 Aug →
train	13–7	0.09	10%	9 Aug →
cache	1–8	-0.06	0%	6 Aug →
nuke	2–13	-0.05	17%	6 Aug →
office	6–13	0.00	5%	5 Aug →
inferno	9–13	0.05	7%	5 Aug →
shelter	13–7	-0.03	11%	4 Aug →
boulder	6–4	-0.05	6%	4 Aug →
boulder	7–1	-0.02	21%	4 Aug →
nuke	6–13	-0.06	23%	3 Aug →
cache	12–12	-0.02	12%	3 Aug →
shelter	2–13	-0.03	13%	2 Aug →
fachwerk	5–13	0.00	15%	2 Aug →
shelter	10–13	-0.05	6%	31 Jul →
fachwerk	5–3	-0.03	13%	31 Jul →
cache	8–13	-0.04	16%	31 Jul →
nuke	13–2	-0.06	17%	31 Jul →
nuke	9–3	-0.01	15%	30 Jul →
vertigo	13–9	-0.06	11%	30 Jul →
vertigo	12–12	-0.03	18%	30 Jul →
train	13–8	-0.08	10%	29 Jul →
fachwerk	13–4	0.11	14%	29 Jul →
shelter	6–13	-0.03	8%	28 Jul →
cache	9–13	-0.04	15%	22 Jul →
mirage	13–8	-0.06	9%	22 Jul →
italy	13–7	-0.05	10%	21 Jul →
inferno	10–13	-0.07	18%	21 Jul →
cache	10–13	-0.09	10%	20 Jul →
inferno	7–13	-0.02	13%	20 Jul →
inferno	10–13	0.02	24%	19 Jul →
inferno	13–11	-0.02	12%	18 Jul →
cache	13–3	-0.01	15%	18 Jul →
vertigo	0–2	-0.09	0%	16 Jul →
train	13–5	0.04	12%	16 Jul →
office	8–13	-0.04	8%	15 Jul →
vertigo	13–11	-0.00	13%	15 Jul →
nuke	3–13	-0.09	17%	14 Jul →
inferno	13–2	0.10	16%	14 Jul →
mirage	2–13	-0.02	19%	14 Jul →
inferno	11–13	-0.06	11%	13 Jul →
mirage	3–13	0.03	18%	13 Jul →
mirage	8–13	-0.07	12%	11 Jul →
shelter	13–5	-0.02	11%	11 Jul →
vertigo	12–12	-0.07	8%	11 Jul →
cache	6–13	-0.07	12%	11 Jul →
vertigo	13–2	0.06	9%	10 Jul →
mirage	13–6	-0.00	12%	10 Jul →
nuke	13–10	-0.03	15%	10 Jul →
cache	8–13	0.03	12%	10 Jul →
fachwerk	13–7	-0.00	10%	9 Jul →
anubis	13–8	0.01	4%	8 Jul →
office	13–9	-0.08	5%	8 Jul →
office	8–13	-0.00	7%	8 Jul →
cache	13–10	-0.01	9%	6 Jul →
vertigo	13–8	-0.02	17%	6 Jul →
train	13–5	-0.04	6%	5 Jul →
inferno	13–5	0.05	9%	5 Jul →
cache	10–13	-0.06	11%	5 Jul →
nuke	8–13	-0.08	12%	4 Jul →
inferno	11–13	-0.08	14%	4 Jul →
alpine	11–13	-0.05	9%	4 Jul →
cache	11–13	0.01	13%	2 Jul →
ancient	13–8	0.01	21%	1 Jul →
cache	13–8	0.01	8%	1 Jul →
train	13–8	-0.03	15%	1 Jul →
office	6–13	-0.04	23%	30 Jun →
mirage	7–13	-0.03	8%	29 Jun →
cache	13–5	0.03	13%	29 Jun →
warden	12–12	-0.01	26%	28 Jun →
cache	3–13	-0.06	9%	27 Jun →
office	13–7	0.07	3%	27 Jun →
anubis	5–13	0.05	10%	27 Jun →
overpass	8–13	0.01	7%	27 Jun →
alpine	13–10	-0.02	8%	26 Jun →
inferno	11–13	-0.06	6%	25 Jun →
cache	13–4	-0.06	13%	25 Jun →
alpine	11–13	0.09	11%	24 Jun →
mirage	5–13	-0.10	27%	24 Jun →
inferno	13–8	-0.09	2%	22 Jun →
alpine	3–0	0.06	14%	22 Jun →
mirage	13–8	0.02	16%	21 Jun →
inferno	13–9	-0.01	27%	21 Jun →