Kylooloo — CS2 Stats

76561198177907117[U:1:217641389]

1,031Tracked matches52%Win rate2021Tracked since

CSDB Rating7.0 StrongEntry Fragger

Premier CS Rating20,000Pink band · top ~8.5% of ranked players (population est.)

FaceitLevel 7 · 1,417 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning76

Utility44

0–100 skill scores via Leetify.

Recent form

COLD50–47–3Last 10050%Win rateLWLWLLLLLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim8.4

Aggression10.0

Utility4.4

Positioning7.6

Opening Duels8.1

Clutch3.8

Limited utility dependence

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 s1mple 91% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.2° off target when enemies appear — placement, not flicking, is the bigger win available.

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

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

Aim8.4

Positioning7.6

Utility4.4

Mechanics5.3

Opening Duels8.1

Win Impact5.6

Composite 7.0/10 (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 rating0.04−0.01

first ⅓ avg 0.05 → last ⅓ avg 0.04

Reaction time488ms−40ms

first ⅓ avg 528ms → last ⅓ avg 488ms

Headshot accuracy18.1%+0.0%

first ⅓ avg 18.1% → last ⅓ avg 18.1%

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

0.24Best rating — nuke 13–3

13–1Biggest win — dust2

6Longest win streak

8–12In matches decided by ≤2 rounds

14Overtime games

Map breakdown

dust2Best map · 58% over 26anubisWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	29	14–15	48%	0.05
dust2	A	26	15–11	58%	0.04
anubis	C	14	6–8	43%	0.04
inferno	B	13	7–6	54%	0.08
cache	B	11	5–6	45%	0.04
mirage	—	3	0–3	0%	-0.01
ancient	—	3	3–0	100%	0.05
eldorado	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

328Matches

51%Win rate

1.28Avg K/D

88.2ADR

35%Headshot %

Clutches & streaks

39%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	78	59%	1.49	19.9
Mirage	41	41%	1.00	16.1
Nuke	39	41%	1.51	21.0
Anubis	33	70%	1.67	19.2
Inferno	33	64%	1.41	19.8
Ancient	19	42%	1.05	13.6
Train	5	0%	1.04	18.0
Cache	5	40%	1.82	21.6

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.

17.5%Headshot accuracy

39.2%Accuracy (enemy spotted)

51.4%Spray accuracy

73.9%Counter-strafing

11.2°Preaim

487msReaction time

64.2%T opening success

60.4%CT opening success

0.47Enemies flashed / flash

8.3%Flash assists

10.31HE damage / grenade

4.53Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4683 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	10–13	0.03	17%	27 Aug →
dust2	13–8	0.02	12%	27 Aug →
anubis	14–16	0.01	22%	26 Aug →
nuke	13–7	0.03	24%	26 Aug →
nuke	4–13	0.03	16%	26 Aug →
inferno	14–16	0.03	20%	26 Aug →
nuke	7–13	-0.03	9%	20 Aug →
nuke	10–13	0.03	12%	20 Aug →
anubis	9–13	0.01	11%	20 Aug →
dust2	13–8	0.07	23%	20 Aug →
dust2	11–13	0.01	23%	20 Aug →
nuke	3–13	0.02	32%	20 Aug →
cache	16–14	0.06	18%	19 Aug →
nuke	13–11	0.07	18%	19 Aug →
inferno	13–11	0.13	33%	19 Aug →
nuke	15–15	0.03	18%	18 Aug →
dust2	10–13	0.07	9%	18 Aug →
cache	13–4	0.04	21%	18 Aug →
anubis	9–13	0.01	6%	18 Aug →
nuke	13–10	0.03	28%	18 Aug →
cache	15–15	-0.01	13%	18 Aug →
dust2	13–7	0.07	20%	16 Aug →
mirage	15–15	-0.01	14%	16 Aug →
ancient	13–9	0.05	18%	16 Aug →
nuke	6–13	0.04	9%	16 Aug →
nuke	16–13	0.09	5%	16 Aug →
cache	6–13	0.11	14%	16 Aug →
inferno	13–9	0.12	12%	16 Aug →
dust2	13–7	0.01	29%	15 Aug →
dust2	13–10	0.00	28%	15 Aug →
nuke	10–13	0.04	9%	15 Aug →
dust2	13–1	0.11	27%	15 Aug →
nuke	16–19	-0.02	28%	14 Aug →
nuke	13–4	0.05	6%	14 Aug →
inferno	13–4	0.05	25%	14 Aug →
dust2	13–1	0.10	25%	14 Aug →
nuke	13–6	0.06	18%	13 Aug →
anubis	6–13	0.01	22%	13 Aug →
dust2	13–7	0.06	19%	13 Aug →
dust2	13–10	0.07	41%	13 Aug →
dust2	13–8	0.08	16%	12 Aug →
inferno	9–13	0.11	26%	12 Aug →
nuke	13–9	0.04	13%	12 Aug →
inferno	8–13	0.07	29%	12 Aug →
cache	11–13	0.04	15%	12 Aug →
dust2	8–13	-0.01	18%	12 Aug →
dust2	13–11	0.01	22%	12 Aug →
dust2	9–13	0.09	18%	11 Aug →
inferno	9–13	0.05	27%	11 Aug →
mirage	6–13	0.07	6%	11 Aug →
dust2	9–13	0.03	3%	11 Aug →
dust2	7–13	-0.02	14%	11 Aug →
nuke	13–5	0.03	18%	10 Aug →
inferno	13–11	0.12	14%	10 Aug →
cache	13–11	0.01	8%	10 Aug →
dust2	13–5	0.08	21%	10 Aug →
anubis	11–13	-0.02	12%	10 Aug →
nuke	9–13	0.02	32%	10 Aug →
cache	13–16	0.12	19%	7 Aug →
dust2	13–8	0.01	16%	7 Aug →
inferno	13–9	0.05	22%	7 Aug →
cache	13–8	0.00	25%	7 Aug →
dust2	11–13	0.04	20%	7 Aug →
mirage	9–13	-0.08	14%	6 Aug →
inferno	12–16	0.11	23%	6 Aug →
nuke	9–13	0.08	38%	6 Aug →
anubis	13–3	0.13	28%	6 Aug →
nuke	13–3	0.24	23%	6 Aug →
inferno	13–9	0.09	32%	6 Aug →
nuke	16–14	0.03	11%	6 Aug →
nuke	13–9	0.13	5%	6 Aug →
ancient	13–4	0.00	3%	6 Aug →
dust2	4–13	-0.04	10%	5 Aug →
dust2	8–13	0.06	12%	5 Aug →
inferno	13–9	0.10	13%	5 Aug →
anubis	13–1	0.19	29%	5 Aug →
anubis	13–8	-0.05	13%	5 Aug →
dust2	13–7	0.04	19%	5 Aug →
nuke	16–13	0.06	38%	5 Aug →
nuke	6–13	0.04	23%	5 Aug →
nuke	14–16	0.02	26%	5 Aug →
anubis	13–10	0.03	8%	4 Aug →
anubis	11–13	-0.00	33%	4 Aug →
ancient	13–8	0.09	22%	4 Aug →
dust2	10–13	0.10	14%	4 Aug →
nuke	13–8	0.01	11%	4 Aug →
anubis	10–13	0.09	41%	4 Aug →
dust2	8–13	-0.01	8%	4 Aug →
anubis	14–16	0.01	9%	4 Aug →
cache	11–13	0.05	11%	3 Aug →
cache	7–13	-0.08	29%	3 Aug →
anubis	13–8	0.04	27%	3 Aug →
anubis	13–8	0.12	6%	3 Aug →
nuke	13–10	0.09	10%	3 Aug →
dust2	13–10	0.01	16%	3 Aug →
nuke	10–13	0.05	24%	3 Aug →
eldorado	4–9	-0.07	23%	3 Aug →
nuke	11–13	0.07	14%	3 Aug →
cache	13–11	0.11	19%	3 Aug →
nuke	11–13	0.08	14%	3 Aug →