Mangthang — CS2 Stats

UM76561198094421852[U:1:134156124]Steam profile ↗✓ No bans

329Tracked matches50%Win rate2022Tracked since

332Hours in CS

CSDB Rating5.5 SolidClutch Specialist

Ladder ranks via Leetify

Performance scores

Aim77

Positioning36

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY57–33–10Last 10057%Win rateLLWWWWLLLL

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

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim7.7

Aggression1.4

Utility4.7

Positioning3.6

Opening Duels0.0

Clutch10.0

Reliable in 1v1s

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 78% playstyle similarity

Most alike: utility contribution, aim profile.

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

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 41 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 601ms 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

Aim7.7

Positioning3.6

Utility4.7

Mechanics8.1

Opening Duels0.0

Win Impact5.0

Composite 5.5/10 (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 rating-0.01−0.07

first ⅓ avg 0.05 → last ⅓ avg -0.01

Reaction time601ms+5ms

first ⅓ avg 597ms → last ⅓ avg 601ms

Headshot accuracy14.8%−0.3%

first ⅓ avg 15.2% → last ⅓ avg 14.8%

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

0.22Best rating — train 13–5

13–0Biggest win — vertigo

5Longest win streak

L2Current streak

9–1In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 86% over 7infernoWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	15	11–4	73%	0.03
ancient	S	15	10–5	67%	0.03
mirage	C	11	4–7	36%	-0.03
overpass	B	11	5–6	45%	0.02
agency	D	9	3–6	33%	0.08
vertigo	A	8	5–3	63%	0.06
nuke	B	8	4–4	50%	0.01
anubis	S	7	6–1	86%	0.03
inferno	D	7	2–5	29%	0.07
train	S	6	5–1	83%	0.08
office	—	3	2–1	67%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,858Lifetime kills

1.30K/D · Top 25% of tracked players

1,079Matches

42.8%Match win rate

39.1%Headshot %

13.9%Shot accuracy · Top 50% of tracked players

1,982MVPs

332Hours (in match)

576Bombs planted

230Bombs defused

Most-used weapons

AK-477,451

M4A4 / M4A1-S4,899

AWP2,128

P2000 / USP-S877

Glock-18736

Galil AR590

Tec-9558

Desert Eagle515

FAMAS499

MP9324

Lifetime map wins

1,810dust2

1,011nuke

985inferno

386vertigo

294train

112cbble

72office

22stmarc

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

Faceit stats

Combat

4Matches

75%Win rate

1.62Avg K/D

73.4ADR

46%Headshot %

Clutches & streaks

75%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	1	0%	0.88	14.0
Ancient	1	100%	3.00	15.0
Vertigo	1	100%	1.89	17.0
Mirage	1	100%	0.69	11.0

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.

14.1%Headshot accuracy

38.2%Accuracy (enemy spotted)

36.6%Spray accuracy

86.3%Counter-strafing

8.3°Preaim

601msReaction time

21.4%T opening success

25.6%CT opening success

0.51Enemies flashed / flash

6.0%Flash assists

8.60HE damage / grenade

6.15Flashes / 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 14.1462% — 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 21.4284% — 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.

29% win rate across 7 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
mirage	5–13	-0.05	16%	5 Mar →
overpass	7–13	-0.10	10%	21 Feb →
mirage	13–10	0.05	17%	21 Feb →
vertigo	13–9	0.11	16%	17 Feb →
vertigo	13–6	0.06	17%	17 Feb →
nuke	16–14	-0.01	9%	8 Feb →
anubis	13–16	0.00	11%	8 Feb →
dust2	6–13	-0.08	13%	8 Feb →
mirage	2–13	-0.06	14%	7 Feb →
dust2	3–13	-0.08	18%	7 Feb →
anubis	13–11	0.08	20%	7 Feb →
anubis	13–8	0.07	9%	7 Feb →
overpass	8–13	-0.05	11%	7 Feb →
inferno	9–13	-0.05	22%	2 Feb →
ancient	13–6	-0.02	18%	2 Feb →
dust2	4–0	-0.01	44%	2 Feb →
nuke	4–13	-0.06	18%	2 Feb →
ancient	9–13	0.09	13%	1 Feb →
mirage	5–13	-0.07	10%	1 Feb →
mirage	13–10	-0.01	16%	31 Jan →
ancient	5–13	-0.07	11%	31 Jan →
mirage	13–10	-0.05	9%	31 Jan →
dust2	13–8	0.04	18%	31 Jan →
ancient	6–13	-0.06	20%	30 Jan →
mirage	13–10	-0.02	12%	30 Jan →
overpass	8–13	-0.07	21%	29 Jan →
overpass	16–14	0.00	13%	28 Jan →
anubis	13–10	-0.10	5%	28 Jan →
nuke	13–16	-0.06	11%	27 Jan →
nuke	13–8	0.03	14%	27 Jan →
mirage	4–13	-0.04	13%	26 Jan →
ancient	13–5	0.04	5%	25 Jan →
dust2	13–8	0.07	15%	25 Jan →
anubis	13–8	0.04	24%	25 Jan →
office	13–3	0.03	19%	24 Jan →
office	13–7	0.09	13%	24 Jan →
mirage	7–13	-0.06	7%	15 Jan →
overpass	12–12	0.21	17%	15 Jan →
overpass	6–13	-0.01	6%	15 Jan →
dust2	13–10	-0.03	11%	13 Jan →
mirage	10–13	-0.02	11%	11 Jan →
inferno	12–12	0.05	13%	10 Jan →
vertigo	13–5	-0.01	9%	10 Jan →
overpass	7–13	0.06	10%	10 Jan →
ancient	13–2	0.13	17%	8 Jan →
ancient	12–12	0.09	9%	5 Jan →
train	13–8	0.02	12%	5 Jan →
dust2	13–2	-0.01	9%	4 Jan →
train	13–2	0.08	14%	4 Jan →
ancient	12–12	0.04	19%	3 Jan →
inferno	12–12	0.15	14%	3 Jan →
agency	10–13	0.08	11%	3 Jan →
overpass	10–8	0.08	22%	3 Jan →
office	5–13	0.08	12%	2 Jan →
agency	12–12	0.09	15%	2 Jan →
train	13–11	0.02	14%	2 Jan →
train	13–1	0.11	18%	2 Jan →
nuke	5–13	0.03	13%	2 Jan →
vertigo	13–3	0.13	12%	31 Dec →
dust2	13–3	0.16	25%	31 Dec →
agency	13–5	0.20	8%	30 Dec →
dust2	13–11	-0.02	14%	30 Dec →
nuke	13–5	-0.02	17%	29 Dec →
agency	9–13	-0.01	19%	29 Dec →
inferno	12–12	0.04	18%	28 Dec →
agency	7–13	0.13	14%	28 Dec →
agency	13–11	0.16	13%	27 Dec →
agency	4–13	-0.06	7%	27 Dec →
agency	13–3	0.07	32%	27 Dec →
ancient	10–2	0.04	24%	27 Dec →
dust2	8–13	-0.04	15%	27 Dec →
inferno	16–13	0.01	14%	26 Dec →
ancient	13–6	0.01	16%	26 Dec →
dust2	12–12	0.02	10%	26 Dec →
ancient	13–6	0.03	12%	24 Dec →
dust2	13–2	0.18	13%	24 Dec →
dust2	13–2	0.15	24%	23 Dec →
ancient	13–11	0.01	13%	22 Dec →
agency	12–12	0.06	16%	22 Dec →
vertigo	8–13	0.02	9%	21 Dec →
ancient	13–6	-0.07	11%	21 Dec →
overpass	13–11	-0.01	11%	21 Dec →
mirage	6–13	0.02	15%	20 Dec →
ancient	13–6	0.07	11%	20 Dec →
overpass	13–6	0.08	14%	19 Dec →
dust2	13–4	0.11	29%	19 Dec →
inferno	13–5	0.16	19%	19 Dec →
dust2	13–2	-0.03	21%	18 Dec →
vertigo	10–13	0.02	14%	18 Dec →
vertigo	13–0	0.13	13%	17 Dec →
overpass	13–8	0.00	16%	17 Dec →
anubis	13–2	0.03	4%	17 Dec →
vertigo	1–9	0.03	18%	17 Dec →
ancient	13–7	0.12	13%	16 Dec →
train	10–13	0.05	16%	16 Dec →
nuke	13–9	0.04	16%	16 Dec →
anubis	13–3	0.06	13%	15 Dec →
inferno	12–12	0.10	13%	15 Dec →
nuke	11–13	0.11	15%	14 Dec →
train	13–5	0.22	18%	14 Dec →

Show all 100 matchesShow fewer

Match data via Leetify.

Milestones

100 Matches

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

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