kikarom — CS2 Stats

FR76561198259790393[U:1:299524665]Steam profile ↗✓ No bans

2,523Tracked matches44%Win rate2020Tracked since

CSDB Rating4.8 DevelopingHybrid Rifler

FaceitLevel 6 · 1,070 ELOTop 54.0% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim62

Positioning46

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLLWTWLTWWL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.2

Aggression5.2

Utility6.4

Positioning4.6

Opening Duels1.1

Clutch3.4

Strong 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 NiKo 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 43% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 733ms 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

Aim6.2

Positioning4.6

Utility6.4

Mechanics7.7

Opening Duels1.7

Win Impact3.1

Composite 4.8/10 (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 -0.02 → last ⅓ avg -0.02

Reaction time724ms+25ms

first ⅓ avg 699ms → last ⅓ avg 724ms

Headshot accuracy19.9%+0.0%

first ⅓ avg 19.8% → last ⅓ avg 19.9%

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 — dust2 13–8

13–0Biggest win — inferno

3Longest win streak

L2Current streak

14–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 58% over 31cacheWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	31	18–13	58%	-0.02
inferno	B	29	14–15	48%	-0.02
anubis	B	14	7–7	50%	-0.02
ancient	D	9	2–7	22%	-0.02
cache	D	7	1–6	14%	-0.02
nuke	C	7	3–4	43%	-0.02
mirage	—	2	0–2	0%	-0.03
overpass	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

3,771Matches

49%Win rate

0.90Avg K/D

74.6ADR

48%Headshot %

Clutches & streaks

37%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	584	52%	0.89	14.1
Dust2	566	51%	0.94	15.2
Anubis	372	44%	0.88	14.1
Mirage	268	48%	0.92	14.2
Ancient	228	48%	0.85	14.2
Nuke	225	48%	0.88	14.1
Vertigo	97	52%	0.97	15.4
Train	58	52%	0.85	13.8

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.

20.2%Headshot accuracy

36.3%Accuracy (enemy spotted)

37.5%Spray accuracy

84.5%Counter-strafing

10.9°Preaim

733msReaction time

26.0%T opening success

43.2%CT opening success

0.59Enemies flashed / flash

4.6%Flash assists

11.67HE damage / grenade

7.30Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 732.6128ms — above the 700ms 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 25.9718% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	5–13	-0.05	18%	27 Aug →
ancient	9–13	0.05	20%	19 Aug →
dust2	13–6	-0.01	28%	19 Aug →
dust2	15–15	0.02	26%	7 Aug →
inferno	13–10	0.03	16%	7 Aug →
anubis	6–13	-0.02	33%	7 Aug →
cache	12–12	-0.02	30%	3 Aug →
cache	13–6	0.01	14%	2 Aug →
dust2	13–11	-0.00	19%	2 Aug →
dust2	9–13	-0.03	14%	30 Jul →
inferno	12–12	-0.01	20%	30 Jul →
ancient	7–13	-0.00	11%	29 Jul →
inferno	7–13	-0.04	25%	29 Jul →
dust2	7–13	-0.06	29%	29 Jul →
cache	9–13	-0.04	22%	28 Jul →
cache	11–13	-0.05	18%	21 Jul →
cache	8–13	-0.08	24%	7 Jul →
inferno	13–3	-0.07	4%	2 Jul →
inferno	6–13	-0.05	20%	2 Jul →
inferno	16–14	-0.02	20%	26 Jun →
inferno	13–11	-0.05	20%	26 Jun →
dust2	13–5	0.04	19%	25 Jun →
cache	9–13	0.01	22%	24 Jun →
inferno	8–13	-0.03	21%	23 Jun →
ancient	6–13	0.03	14%	12 Jun →
anubis	13–8	0.01	16%	12 Jun →
ancient	13–9	-0.01	18%	12 Jun →
dust2	4–13	-0.06	17%	7 Jun →
inferno	13–6	0.02	18%	4 Jun →
inferno	13–11	0.00	21%	4 Jun →
dust2	10–13	-0.09	23%	3 Jun →
ancient	7–13	-0.05	16%	3 Jun →
nuke	16–14	0.03	18%	2 Jun →
dust2	16–14	-0.06	20%	2 Jun →
inferno	9–13	-0.01	16%	1 Jun →
dust2	13–11	0.01	31%	1 Jun →
dust2	13–7	-0.03	19%	31 May →
ancient	6–13	-0.03	30%	31 May →
ancient	13–5	-0.04	35%	31 May →
dust2	13–7	-0.01	13%	31 May →
inferno	13–11	-0.06	24%	31 May →
mirage	8–13	-0.04	17%	30 May →
dust2	13–8	-0.02	32%	28 May →
inferno	11–13	-0.09	16%	27 May →
inferno	8–13	-0.07	23%	27 May →
dust2	13–11	0.01	18%	26 May →
inferno	8–13	0.05	22%	21 May →
nuke	9–13	-0.02	23%	21 May →
inferno	5–13	-0.06	22%	21 May →
ancient	15–15	-0.08	32%	20 May →
inferno	13–11	0.02	26%	20 May →
dust2	13–9	-0.03	24%	20 May →
anubis	11–13	0.03	20%	17 May →
dust2	13–8	0.19	46%	17 May →
dust2	9–13	-0.07	15%	14 May →
anubis	10–13	-0.08	24%	14 May →
dust2	14–16	-0.08	33%	14 May →
cache	12–16	-0.00	20%	9 May →
anubis	10–13	-0.05	9%	9 May →
inferno	19–17	0.00	23%	8 May →
mirage	10–13	-0.01	20%	8 May →
nuke	13–9	-0.06	17%	7 May →
dust2	13–10	0.11	30%	7 May →
inferno	13–9	-0.03	10%	7 May →
inferno	10–13	0.01	29%	6 May →
dust2	14–16	-0.05	22%	5 May →
inferno	11–13	-0.01	23%	5 May →
dust2	13–1	0.01	46%	4 May →
inferno	13–0	-0.03	15%	4 May →
inferno	11–13	-0.04	17%	4 May →
dust2	13–7	-0.01	24%	30 Apr →
nuke	7–13	0.00	21%	8 Apr →
dust2	13–7	0.03	31%	7 Apr →
anubis	13–11	-0.07	19%	6 Apr →
anubis	11–13	0.01	12%	4 Apr →
anubis	13–6	-0.03	21%	3 Apr →
dust2	10–13	-0.05	22%	26 Mar →
dust2	5–13	-0.05	19%	26 Mar →
nuke	5–13	-0.01	16%	1 Mar →
nuke	3–13	-0.06	15%	27 Feb →
anubis	13–11	-0.03	28%	27 Feb →
inferno	13–8	-0.00	17%	27 Feb →
inferno	10–13	-0.03	23%	27 Feb →
dust2	8–13	-0.01	23%	24 Feb →
anubis	2–13	-0.02	19%	24 Feb →
dust2	2–13	-0.06	11%	24 Feb →
inferno	13–8	0.01	21%	24 Feb →
dust2	13–9	-0.01	24%	24 Feb →
anubis	11–13	-0.00	11%	23 Feb →
nuke	13–9	-0.02	27%	23 Feb →
inferno	1–13	-0.09	17%	22 Feb →
anubis	13–11	-0.05	23%	21 Feb →
anubis	13–5	-0.02	15%	21 Feb →
dust2	13–3	-0.00	17%	21 Feb →
ancient	13–16	-0.00	17%	21 Feb →
dust2	13–10	-0.09	21%	19 Feb →
inferno	14–16	-0.04	16%	19 Feb →
anubis	13–9	0.02	9%	19 Feb →
inferno	13–7	-0.02	33%	18 Feb →
overpass	13–2	-0.04	3%	18 Feb →