mantou — CS2 Stats

US76561198972801449[U:1:1012535721]Steam profile ↗✓ No bans

1,682Tracked matches64%Win rate2020Tracked since

2,098Hours in CS

CSDB Rating4.7 DevelopingSupport

FaceitLevel 4 · 905 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim51

Positioning39

Utility72

0–100 skill scores via Leetify.

Recent form

STEADY52–36–12Last 10052%Win rateWLWTWLWLWT

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim5.1

Aggression2.0

Utility7.2

Positioning3.9

Opening Duels0.0

Clutch1.8

Effective 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 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 574ms 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

Aim5.1

Positioning3.9

Utility7.2

Mechanics5.6

Opening Duels0.0

Win Impact9.7

Composite 4.7/10 (Developing), 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-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time578ms−53ms

first ⅓ avg 631ms → last ⅓ avg 578ms

Headshot accuracy14.5%−0.5%

first ⅓ avg 14.9% → last ⅓ avg 14.5%

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

0.12Best rating — inferno 13–1

13–1Biggest win — dust2

5Longest win streak

4–3In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 60% over 5infernoWeakest map · 45% over 42

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	45	26–19	58%	-0.01
inferno	B	42	19–23	45%	-0.02
mirage	A	5	3–2	60%	-0.04
nuke	—	2	2–0	100%	0.00
cache	—	2	0–2	0%	-0.02
train	—	1	1–0	100%	-0.01
anubis	—	1	0–1	0%	-0.01
office	—	1	0–1	0%	0.00
vertigo	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 42). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

87,771Lifetime kills

0.90K/D

5,557Matches

41.4%Match win rate

38.2%Headshot %

11.6%Shot accuracy

9,389MVPs

2,098Hours (in match)

4,525Bombs planted

1,081Bombs defused

Most-used weapons

AK-4717,268

M4A4 / M4A1-S15,291

AWP8,231

P2000 / USP-S4,487

Negev4,483

Glock-184,100

Galil AR3,948

P903,901

MP93,761

MAC-103,458

Lifetime map wins

17,750dust2

10,079inferno

2,506vertigo

1,432nuke

591office

539train

166lake

72italy

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

Faceit stats

Combat

206Matches

49%Win rate

0.96Avg K/D

80.8ADR

34%Headshot %

Clutches & streaks

29%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	17	71%	1.62	18.5
Mirage	13	85%	1.34	15.8
Inferno	13	46%	1.12	15.8
Ancient	10	70%	1.16	12.5
Vertigo	4	75%	0.90	17.3
Nuke	3	33%	1.15	18.0
Anubis	2	50%	1.01	13.0
Train	2	50%	0.94	14.5

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

28.7%Accuracy (enemy spotted)

32.8%Spray accuracy

75.1%Counter-strafing

9.5°Preaim

574msReaction time

22.1%T opening success

21.6%CT opening success

0.74Enemies flashed / flash

9.1%Flash assists

13.13HE damage / grenade

16.65Flashes / 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 14.067% — 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 22.0764% — 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.

45% win rate across 42 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	13–2	0.04	11%	28 Aug →
inferno	1–13	-0.09	20%	28 Aug →
dust2	13–1	0.04	19%	27 Aug →
inferno	12–12	-0.01	18%	27 Aug →
train	13–5	-0.01	11%	26 Aug →
inferno	7–13	-0.01	13%	26 Aug →
dust2	13–8	-0.05	13%	26 Aug →
anubis	11–13	-0.01	16%	26 Aug →
dust2	13–7	-0.03	10%	26 Aug →
office	12–12	0.00	19%	25 Aug →
dust2	2–13	-0.06	10%	25 Aug →
inferno	13–6	-0.01	9%	25 Aug →
dust2	13–5	-0.04	23%	23 Aug →
mirage	8–13	-0.03	2%	23 Aug →
dust2	8–13	-0.03	14%	23 Aug →
dust2	12–12	-0.01	11%	21 Aug →
inferno	13–9	-0.08	14%	21 Aug →
inferno	13–6	-0.03	12%	20 Aug →
dust2	13–3	-0.00	20%	20 Aug →
inferno	6–13	-0.06	24%	19 Aug →
nuke	13–11	-0.08	12%	19 Aug →
mirage	13–7	-0.04	13%	17 Aug →
dust2	13–6	-0.01	11%	17 Aug →
dust2	12–12	-0.02	12%	17 Aug →
inferno	13–3	0.03	17%	17 Aug →
inferno	13–1	0.12	19%	17 Aug →
inferno	12–12	-0.02	15%	16 Aug →
inferno	11–13	0.02	9%	15 Aug →
dust2	1–13	-0.06	20%	15 Aug →
inferno	13–10	-0.03	13%	15 Aug →
dust2	9–13	0.01	15%	15 Aug →
inferno	4–13	-0.04	19%	14 Aug →
inferno	13–7	-0.05	13%	13 Aug →
dust2	13–11	-0.02	8%	13 Aug →
vertigo	13–11	0.07	13%	12 Aug →
nuke	13–3	0.08	12%	12 Aug →
dust2	10–13	-0.14	31%	12 Aug →
dust2	11–3	-0.02	11%	12 Aug →
inferno	13–9	-0.01	23%	11 Aug →
dust2	10–13	0.02	26%	11 Aug →
dust2	13–4	-0.06	21%	11 Aug →
inferno	1–13	-0.06	26%	11 Aug →
dust2	12–12	0.02	19%	10 Aug →
inferno	10–13	-0.01	28%	10 Aug →
dust2	12–12	0.01	33%	10 Aug →
dust2	4–13	-0.03	13%	10 Aug →
dust2	13–6	-0.06	10%	10 Aug →
dust2	13–2	0.03	9%	10 Aug →
inferno	5–13	-0.09	5%	9 Aug →
inferno	13–8	0.03	14%	9 Aug →
dust2	13–4	-0.01	18%	9 Aug →
dust2	13–7	-0.07	8%	9 Aug →
inferno	9–13	0.07	15%	9 Aug →
dust2	13–5	0.03	15%	9 Aug →
inferno	13–10	-0.05	25%	8 Aug →
dust2	13–7	0.05	22%	8 Aug →
dust2	13–7	0.01	12%	8 Aug →
inferno	13–6	-0.01	11%	7 Aug →
inferno	8–13	-0.07	11%	7 Aug →
dust2	13–7	0.04	15%	7 Aug →
inferno	10–13	-0.03	15%	2 Aug →
dust2	13–7	0.02	23%	2 Aug →
dust2	4–13	-0.07	22%	31 Jul →
inferno	13–7	0.05	9%	31 Jul →
dust2	12–12	-0.03	19%	30 Jul →
inferno	13–9	-0.05	11%	30 Jul →
cache	6–13	0.02	13%	30 Jul →
inferno	12–12	0.02	15%	30 Jul →
dust2	13–6	-0.01	11%	30 Jul →
dust2	13–11	-0.01	14%	28 Jul →
inferno	11–7	0.04	23%	27 Jul →
dust2	3–13	0.02	26%	27 Jul →
inferno	13–7	-0.03	16%	27 Jul →
dust2	12–12	-0.05	18%	27 Jul →
dust2	4–13	-0.05	12%	27 Jul →
inferno	13–2	0.08	18%	27 Jul →
dust2	9–13	0.02	19%	20 Jul →
inferno	13–8	-0.00	10%	20 Jul →
inferno	7–13	-0.08	11%	17 Jul →
inferno	9–13	-0.05	10%	10 Jul →
dust2	13–6	-0.00	14%	10 Jul →
inferno	10–13	-0.04	24%	10 Jul →
dust2	5–13	-0.03	5%	9 Jul →
inferno	7–13	-0.02	11%	8 Jul →
dust2	13–5	-0.02	13%	8 Jul →
cache	7–13	-0.06	11%	5 Jul →
inferno	12–12	-0.05	18%	5 Jul →
dust2	13–4	0.08	22%	5 Jul →
dust2	13–4	0.00	14%	2 Jul →
inferno	13–6	0.00	13%	2 Jul →
mirage	13–8	-0.03	23%	2 Jul →
inferno	11–13	-0.02	10%	1 Jul →
inferno	13–2	0.02	12%	1 Jul →
dust2	13–1	0.02	12%	1 Jul →
mirage	13–3	0.01	11%	1 Jul →
mirage	12–12	-0.09	14%	1 Jul →
inferno	4–13	-0.11	22%	1 Jul →
inferno	9–13	0.10	18%	1 Jul →
dust2	5–13	-0.01	17%	30 Jun →
inferno	9–13	-0.03	8%	30 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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

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