_Kotomi — CS2 Stats

76561198152493612[U:1:192227884]

1,778Tracked matches53%Win rate2020Tracked since

5,236Hours in CS39Hrs last 2 wks

CSDB Rating8.0 StrongAggressive Rifler

Premier CS Rating27,190Top 10% of 819 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)

CSDB Leaderboard#256 of 5321 tracked

FaceitLevel 10 · 2,582 ELOTop 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	51.3%	52.8%
Shot accuracy	20.4%	13.7%
Kill/death ratio	1.13	1.08
Match win rate	53.9%	49.2%

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Performance scores

Aim95

Positioning64

Utility72

0–100 skill scores via Leetify.

Recent form

STEADY57–42–1Last 10057%Win rateLWLWWLWLLW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.5

Aggression9.1

Utility7.2

Positioning6.4

Opening Duels5.1

Clutch4.2

Sharp aimerExcellent counter-strafingStrong CT-side opener

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 ZywOo 96% playstyle similarity

Most alike: utility contribution, 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

Aim. Aim score of 95 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 61% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.5

Positioning6.4

Utility7.2

Mechanics8.9

Opening Duels5.1

Win Impact6.1

Composite 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time522ms−34ms

first ⅓ avg 556ms → last ⅓ avg 522ms

Headshot accuracy27.2%+3.7%

first ⅓ avg 23.5% → last ⅓ avg 27.2%

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

0.17Best rating — dust2 13–3

13–0Biggest win — anubis

7Longest win streak

5–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 86% over 7nukeWeakest map · 50% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	30	17–13	57%	0.01
mirage	B	29	15–14	52%	0.01
ancient	A	16	9–7	56%	0.02
inferno	A	8	5–3	63%	0.03
anubis	S	7	6–1	86%	0.04
nuke	B	6	3–3	50%	0.00
cache	—	3	2–1	67%	0.09
train	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

210,060Lifetime kills

1.13K/D · Top 50% of Level 10 players

7,416Matches

53.9%Match win rate · Top 25% of Level 10 players

51.3%Headshot %

20.4%Shot accuracy · Top 5% of Level 10 players

19,061MVPs

8,107Hours (in match)

5,631Bombs planted

1,800Bombs defused

Most-used weapons

AK-4777,608

M4A4 / M4A1-S37,342

AWP25,190

Desert Eagle18,572

P2000 / USP-S16,137

Glock-184,812

SSG 083,440

SG 5533,120

Knife2,718

P2502,583

Lifetime map wins

13,222dust2

10,596inferno

4,007nuke

2,053vertigo

1,470train

314cbble

139office

113lake

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

Faceit stats

Combat

1,080Matches

54%Win rate

1.28Avg K/D

85.8ADR

49%Headshot %

Clutches & streaks

41%1v1 clutch win

27%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	285	54%	1.28	17.9
Dust2	163	49%	1.29	17.8
Ancient	143	49%	1.22	18.4
Anubis	75	55%	1.16	17.0
Inferno	44	39%	1.18	16.6
Nuke	29	52%	1.21	16.2
Train	12	50%	1.10	17.2
Vertigo	9	67%	1.08	16.2

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.

25.3%Headshot accuracy

42.6%Accuracy (enemy spotted)

42.0%Spray accuracy

90.2%Counter-strafing

8.3°Preaim

523msReaction time

39.5%T opening success

60.9%CT opening success

0.68Enemies flashed / flash

14.0%Flash assists

8.74HE damage / grenade

13.16Flashes / 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 39.4905% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
ancient	10–13	0.02	25%	28 Aug →
mirage	13–9	-0.04	32%	28 Aug →
inferno	13–16	-0.02	15%	28 Aug →
dust2	13–5	0.06	41%	27 Aug →
nuke	13–9	0.04	28%	25 Aug →
train	3–13	0.02	28%	25 Aug →
dust2	11–0	0.09	37%	18 Aug →
dust2	8–13	-0.01	30%	18 Aug →
ancient	1–13	-0.07	38%	18 Aug →
dust2	13–11	-0.05	31%	17 Aug →
dust2	19–22	0.07	26%	14 Aug →
ancient	13–5	-0.02	20%	13 Aug →
ancient	13–8	-0.01	34%	11 Aug →
mirage	13–9	0.01	21%	10 Aug →
dust2	13–5	0.05	25%	10 Aug →
mirage	10–13	0.04	23%	10 Aug →
anubis	13–6	0.12	11%	10 Aug →
inferno	9–13	0.01	11%	10 Aug →
inferno	13–2	0.04	22%	10 Aug →
mirage	11–13	0.01	22%	8 Aug →
dust2	4–13	-0.00	47%	7 Aug →
dust2	13–10	0.05	34%	7 Aug →
mirage	13–7	0.04	14%	6 Aug →
mirage	13–6	-0.01	25%	6 Aug →
ancient	1–1	-0.02	100%	6 Aug →
dust2	13–8	0.04	11%	6 Aug →
ancient	11–13	0.06	19%	6 Aug →
anubis	13–5	-0.04	25%	5 Aug →
nuke	10–13	0.01	20%	5 Aug →
mirage	11–13	0.01	27%	4 Aug →
dust2	13–11	0.01	14%	4 Aug →
ancient	16–12	0.08	18%	3 Aug →
dust2	13–11	-0.02	22%	27 Jul →
ancient	13–9	0.13	20%	27 Jul →
inferno	5–13	-0.06	31%	27 Jul →
cache	13–2	0.14	50%	26 Jul →
mirage	7–13	-0.02	24%	26 Jul →
anubis	15–15	0.02	23%	24 Jul →
dust2	13–8	0.00	24%	24 Jul →
inferno	13–6	0.10	29%	23 Jul →
inferno	9–1	0.10	42%	23 Jul →
dust2	13–5	0.03	38%	23 Jul →
mirage	13–9	-0.00	10%	20 Jul →
ancient	13–6	0.02	23%	17 Jul →
mirage	13–10	0.05	40%	17 Jul →
mirage	7–13	0.10	26%	17 Jul →
ancient	13–6	0.15	21%	17 Jul →
inferno	13–8	0.05	17%	17 Jul →
dust2	13–4	0.07	26%	17 Jul →
mirage	13–4	0.01	28%	16 Jul →
mirage	11–13	-0.04	24%	8 Jul →
cache	13–5	0.04	20%	6 Jul →
dust2	13–3	0.17	29%	5 Jul →
nuke	7–13	-0.08	17%	4 Jul →
mirage	5–13	0.02	17%	4 Jul →
dust2	10–13	0.01	20%	26 Jun →
dust2	3–13	-0.09	19%	25 Jun →
dust2	1–13	-0.04	38%	25 Jun →
mirage	3–13	-0.01	35%	24 Jun →
nuke	10–13	0.05	31%	23 Jun →
mirage	0–13	-0.02	0%	23 Jun →
dust2	9–13	0.01	23%	22 Jun →
ancient	16–13	-0.01	13%	21 Jun →
dust2	13–10	-0.02	23%	21 Jun →
mirage	16–14	0.02	22%	21 Jun →
mirage	5–13	-0.02	19%	19 Jun →
mirage	12–16	0.01	14%	18 Jun →
mirage	13–7	0.04	28%	5 Jun →
ancient	13–9	-0.06	25%	4 Jun →
nuke	13–9	-0.06	27%	2 Jun →
mirage	13–4	0.03	16%	23 May →
ancient	5–13	-0.04	36%	22 May →
anubis	13–6	0.04	24%	22 May →
mirage	13–9	0.02	21%	20 May →
dust2	13–9	-0.02	33%	19 May →
dust2	5–13	-0.01	18%	19 May →
anubis	13–0	0.13	24%	18 May →
ancient	11–13	0.02	27%	18 May →
mirage	8–13	-0.01	20%	18 May →
mirage	13–11	0.04	27%	17 May →
dust2	12–16	-0.00	20%	13 May →
mirage	13–9	0.04	21%	13 May →
dust2	13–10	0.02	32%	13 May →
nuke	13–2	0.04	24%	13 May →
dust2	10–13	-0.03	16%	12 May →
dust2	13–10	-0.01	25%	11 May →
mirage	6–13	-0.02	20%	11 May →
anubis	13–10	0.00	16%	11 May →
mirage	13–9	0.05	20%	9 May →
dust2	13–8	-0.01	36%	8 May →
dust2	11–13	0.06	31%	8 May →
mirage	6–13	-0.03	21%	2 May →
ancient	14–16	0.03	12%	1 May →
anubis	13–6	0.04	16%	1 May →
ancient	13–9	0.12	19%	30 Apr →
dust2	8–13	-0.01	22%	30 Apr →
cache	9–13	0.07	27%	30 Apr →
inferno	13–10	0.05	24%	30 Apr →
dust2	3–13	-0.05	28%	23 Apr →
mirage	13–6	0.03	19%	21 Apr →