✪Kiritoツ — CS2 Stats

76561198173014433[U:1:212748705]✓ No bans

804Tracked matches53%Win rate2020Tracked since

CSDB Rating7.4 StrongEntry Fragger

Premier CS Rating22,355Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.9% of ranked players (population est.)

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning67

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLWWLLWWWLW

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

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.6

Aggression10.0

Utility6.3

Positioning6.7

Opening Duels6.0

Clutch2.2

Sharp aimerStrong 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 sh1ro 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher opening-duel success.

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 86 — the mechanical foundation is a clear strength.

CT openings. 75% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 75% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim8.6

Positioning6.7

Utility6.3

Mechanics8.0

Opening Duels5.4

Win Impact6.1

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time552ms−125ms

first ⅓ avg 677ms → last ⅓ avg 552ms

Headshot accuracy29.5%−3.6%

first ⅓ avg 33.1% → last ⅓ avg 29.5%

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

0.19Best rating — cache 13–0

13–0Biggest win — cache

5Longest win streak

3–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 86% over 7mirageWeakest map · 30% over 20

Map	Grade	Played	Record	Win rate	Avg rating
cache	S	26	17–9	65%	0.04
mirage	D	20	6–14	30%	0.01
inferno	C	19	8–11	42%	0.03
dust2	S	19	13–6	68%	0.01
nuke	S	7	6–1	86%	-0.01
ancient	—	3	0–3	0%	-0.01
anubis	—	2	1–1	50%	0.00
train	—	2	0–2	0%	0.05
shelter	—	1	0–1	0%	-0.01
overpass	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,683Matches

51%Win rate

1.19Avg K/D

75.2ADR

44%Headshot %

Clutches & streaks

31%1v1 clutch win

17%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	38	42%	1.00	15.2
Dust2	35	57%	1.24	17.3
Inferno	15	20%	0.94	15.7
Cache	15	80%	1.65	18.3
Anubis	13	69%	0.84	14.8
Nuke	13	85%	1.29	15.7
Ancient	10	60%	0.97	13.8
Vertigo	2	50%	0.56	9.0

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.

30.4%Headshot accuracy

36.1%Accuracy (enemy spotted)

32.3%Spray accuracy

85.8%Counter-strafing

9.2°Preaim

579msReaction time

33.4%T opening success

74.9%CT opening success

0.64Enemies flashed / flash

9.5%Flash assists

12.74HE damage / grenade

9.01Flashes / 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 33.4374% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	5–13	0.05	25%	26 Aug →
nuke	13–11	0.00	24%	25 Aug →
cache	13–6	0.07	31%	25 Aug →
inferno	2–7	-0.09	22%	24 Aug →
mirage	1–6	-0.06	36%	24 Aug →
cache	13–9	-0.01	27%	24 Aug →
dust2	13–8	0.02	20%	24 Aug →
cache	13–6	0.10	25%	24 Aug →
mirage	5–13	0.01	32%	23 Aug →
dust2	4–0	-0.09	0%	23 Aug →
mirage	6–13	-0.03	38%	20 Aug →
nuke	13–8	0.05	47%	17 Aug →
inferno	13–4	0.02	39%	17 Aug →
cache	5–13	0.05	43%	17 Aug →
dust2	14–16	0.00	24%	14 Aug →
cache	16–12	0.01	24%	12 Aug →
inferno	4–13	0.00	30%	10 Aug →
dust2	13–8	-0.04	57%	10 Aug →
anubis	16–12	0.05	18%	9 Aug →
mirage	7–13	0.02	12%	9 Aug →
dust2	13–4	0.07	40%	9 Aug →
inferno	9–13	0.01	14%	5 Aug →
mirage	10–13	0.02	31%	5 Aug →
mirage	13–5	0.04	29%	5 Aug →
mirage	9–13	-0.02	45%	2 Aug →
nuke	13–6	-0.08	25%	2 Aug →
inferno	13–7	0.06	50%	2 Aug →
inferno	8–11	0.01	44%	1 Aug →
cache	13–5	0.01	32%	1 Aug →
inferno	7–13	0.00	18%	1 Aug →
inferno	13–9	0.03	22%	1 Aug →
mirage	13–16	0.03	19%	31 Jul →
inferno	11–13	0.12	28%	30 Jul →
ancient	15–15	0.02	16%	30 Jul →
dust2	13–10	0.09	42%	29 Jul →
cache	13–9	0.16	46%	29 Jul →
dust2	10–13	-0.05	18%	27 Jul →
cache	10–0	0.09	50%	27 Jul →
cache	13–5	0.08	33%	27 Jul →
anubis	1–13	-0.04	30%	27 Jul →
inferno	6–13	0.05	30%	26 Jul →
mirage	13–10	0.09	38%	26 Jul →
cache	2–13	-0.04	25%	25 Jul →
cache	11–13	0.03	21%	22 Jul →
dust2	13–9	0.15	37%	22 Jul →
mirage	6–13	0.03	35%	21 Jul →
inferno	13–6	0.14	27%	21 Jul →
mirage	4–13	0.08	39%	17 Jul →
cache	4–2	0.02	50%	17 Jul →
dust2	11–13	-0.03	32%	17 Jul →
cache	5–13	-0.04	24%	14 Jul →
mirage	13–2	0.03	25%	14 Jul →
nuke	13–7	0.02	39%	14 Jul →
shelter	4–7	-0.01	50%	11 Jul →
mirage	13–6	0.03	42%	11 Jul →
mirage	6–13	-0.02	20%	11 Jul →
inferno	6–13	0.00	46%	5 Jul →
dust2	13–6	0.07	20%	5 Jul →
dust2	13–4	-0.00	41%	30 Jun →
inferno	9–13	-0.05	21%	25 Jun →
nuke	13–4	-0.05	43%	25 Jun →
dust2	13–8	0.01	14%	25 Jun →
cache	13–5	0.03	34%	25 Jun →
train	8–13	-0.01	28%	23 Jun →
train	11–13	0.12	35%	23 Jun →
mirage	11–13	-0.03	37%	15 Jun →
cache	9–13	0.01	29%	15 Jun →
dust2	13–9	-0.02	21%	14 Jun →
mirage	12–12	-0.03	30%	10 Jun →
mirage	1–5	-0.03	60%	10 Jun →
cache	13–9	0.09	46%	9 Jun →
dust2	16–14	0.03	32%	2 Jun →
ancient	1–6	0.02	42%	30 May →
inferno	13–7	0.00	24%	30 May →
cache	0–3	-0.06	0%	30 May →
dust2	9–13	0.00	35%	30 May →
inferno	13–6	0.09	32%	30 May →
cache	13–9	-0.04	30%	30 May →
mirage	13–6	0.01	31%	28 May →
overpass	13–3	0.04	28%	28 May →
nuke	13–4	0.04	31%	28 May →
mirage	7–13	-0.02	40%	27 May →
dust2	13–8	-0.01	36%	26 May →
cache	13–6	-0.07	9%	26 May →
inferno	13–3	0.07	50%	26 May →
cache	10–13	-0.00	25%	26 May →
mirage	13–9	0.07	38%	25 May →
inferno	4–13	0.15	39%	23 May →
dust2	4–13	-0.02	46%	23 May →
nuke	1–13	-0.07	89%	23 May →
cache	13–8	0.13	23%	21 May →
cache	13–6	0.10	45%	20 May →
cache	13–10	0.01	20%	20 May →
cache	8–13	0.01	28%	20 May →
cache	13–0	0.19	37%	19 May →
dust2	13–10	0.07	28%	18 May →
dust2	8–13	-0.01	19%	17 May →
cache	12–12	0.12	27%	17 May →
inferno	13–8	-0.01	33%	15 May →
ancient	2–13	-0.07	18%	15 May →