Qilot — CS2 Stats

US76561198880395179[U:1:920129451]Steam profile ↗1 game ban

215Tracked matches46%Win rate2021Tracked since

1,397Hours in CS7Hrs last 2 wks

CSDB Rating4.0 DevelopingClutch Specialist

Premier CS Rating9,706Light Blue band · top ~56.3% of ranked players (population est.)

CSDB Leaderboard#12574 of 17021 tracked

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning48

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateLLWWWWLWWT

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim5.9

Aggression5.0

Utility3.5

Positioning4.8

Opening Duels1.5

Clutch10.0

Strong CT-side openerReliable in 1v1s

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 84% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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 45% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.9

Positioning4.8

Utility3.5

Mechanics4.2

Opening Duels1.9

Win Impact3.8

Composite 4.0/10 (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-0.02−0.02

first ⅓ avg -0.00 → last ⅓ avg -0.02

Reaction time568ms−52ms

first ⅓ avg 620ms → last ⅓ avg 568ms

Headshot accuracy14.5%+1.4%

first ⅓ avg 13.1% → 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 — ancient 13–3

13–0Biggest win — inferno

6Longest win streak

L2Current streak

7–2In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 100% over 5dust2Weakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	27	12–15	44%	-0.01
ancient	C	19	7–12	37%	0.01
mirage	D	13	4–9	31%	-0.02
inferno	B	11	5–6	45%	0.01
overpass	B	10	5–5	50%	-0.02
dust2	D	7	2–5	29%	-0.02
anubis	S	5	5–0	100%	-0.03
train	—	4	1–3	25%	-0.05
cache	—	3	2–1	67%	-0.01
vertigo	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,331Lifetime kills

0.39K/D

2,274Matches

14.2%Match win rate

32.9%Headshot %

15.7%Shot accuracy · Top 25% of tracked players

1,468MVPs

539Hours (in match)

507Bombs planted

103Bombs defused

Most-used weapons

AK-473,745

M4A4 / M4A1-S2,428

AWP1,235

P2000 / USP-S834

Desert Eagle759

Glock-18520

SSG 08499

P250312

MP9281

MAC-10233

Lifetime map wins

1,404inferno

1,129dust2

692nuke

297vertigo

255train

34lake

25office

22cbble

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

Faceit stats

Combat

2Matches

50%Win rate

0.50Avg K/D

42.5ADR

18%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

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.

13.8%Headshot accuracy

35.7%Accuracy (enemy spotted)

37.4%Spray accuracy

69.1%Counter-strafing

10.2°Preaim

568msReaction time

26.8%T opening success

45.0%CT opening success

0.50Enemies flashed / flash

2.4%Flash assists

8.92HE damage / grenade

5.42Flashes / 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 13.84% — 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 26.8149% — below the 40% mark we flag

Spend your practice time on Dust 2

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	10–13	-0.01	13%	23 Aug →
dust2	8–13	-0.05	16%	23 Aug →
anubis	13–10	-0.05	13%	21 Aug →
cache	13–10	-0.00	14%	20 Aug →
anubis	13–10	0.00	14%	20 Aug →
ancient	13–3	-0.02	14%	20 Aug →
nuke	14–16	-0.05	8%	15 Aug →
anubis	13–7	-0.05	6%	15 Aug →
nuke	13–8	0.01	13%	15 Aug →
ancient	15–15	-0.00	10%	14 Aug →
dust2	8–13	0.00	18%	14 Aug →
cache	13–11	-0.01	19%	14 Aug →
inferno	9–13	-0.03	17%	13 Aug →
nuke	15–15	-0.04	8%	13 Aug →
dust2	10–13	-0.04	13%	8 Aug →
nuke	13–8	-0.01	14%	8 Aug →
inferno	7–13	0.05	19%	8 Aug →
anubis	13–11	-0.05	10%	7 Aug →
inferno	13–0	0.08	30%	7 Aug →
nuke	4–13	-0.04	11%	7 Aug →
dust2	13–9	-0.02	23%	7 Aug →
anubis	13–3	-0.00	7%	7 Aug →
nuke	13–9	0.02	15%	1 Aug →
mirage	7–13	-0.08	17%	1 Aug →
ancient	9–13	-0.05	8%	14 Jul →
cache	8–13	-0.00	9%	14 Jul →
ancient	10–13	0.03	11%	14 Jul →
nuke	5–13	-0.06	32%	14 Jul →
train	10–13	-0.09	10%	14 Jul →
mirage	7–13	-0.07	16%	4 Nov →
nuke	13–7	-0.02	16%	27 Oct →
mirage	5–13	-0.08	23%	14 Oct →
ancient	10–13	0.04	11%	14 Oct →
train	3–13	-0.09	12%	14 Oct →
inferno	9–13	-0.03	19%	12 Oct →
inferno	9–13	-0.02	9%	12 Oct →
nuke	8–13	-0.00	15%	8 Oct →
inferno	13–9	-0.00	13%	7 Oct →
vertigo	7–13	0.04	8%	7 Oct →
nuke	8–13	-0.02	20%	7 Oct →
ancient	5–13	-0.07	23%	28 Sept →
mirage	13–9	-0.06	10%	15 Sept →
nuke	7–9	-0.12	10%	15 Sept →
ancient	13–9	0.01	14%	15 Sept →
ancient	13–10	-0.03	8%	10 Sept →
mirage	2–13	-0.04	8%	10 Sept →
ancient	9–13	0.02	14%	9 Sept →
nuke	13–3	0.05	13%	27 Aug →
dust2	8–13	-0.04	8%	27 Aug →
overpass	16–13	-0.03	12%	24 Aug →
mirage	13–16	-0.01	20%	24 Aug →
overpass	7–13	0.01	15%	24 Aug →
nuke	10–13	0.09	25%	19 Aug →
ancient	8–13	-0.02	9%	19 Aug →
inferno	8–13	-0.04	12%	19 Aug →
nuke	6–13	-0.01	16%	19 Aug →
overpass	13–4	-0.01	19%	18 Aug →
nuke	9–13	-0.06	19%	18 Aug →
ancient	13–3	0.12	17%	18 Aug →
mirage	9–4	-0.01	21%	18 Aug →
nuke	12–16	-0.01	14%	13 Aug →
nuke	13–5	0.06	15%	13 Aug →
train	9–13	0.00	16%	13 Aug →
overpass	13–7	0.03	11%	5 Aug →
nuke	13–10	0.04	17%	5 Aug →
mirage	5–13	-0.01	9%	4 Aug →
inferno	13–10	-0.03	20%	4 Aug →
overpass	13–16	-0.03	16%	4 Aug →
overpass	9–13	-0.04	14%	3 Aug →
inferno	16–14	0.05	13%	3 Aug →
nuke	7–13	-0.06	14%	3 Aug →
nuke	10–13	-0.05	12%	30 Jul →
overpass	4–13	0.02	14%	30 Jul →
overpass	5–13	-0.06	10%	23 Jul →
ancient	13–6	0.02	4%	23 Jul →
mirage	3–13	0.04	17%	23 Jul →
nuke	13–11	0.01	14%	22 Jul →
train	13–8	-0.02	13%	22 Jul →
overpass	13–5	-0.05	15%	22 Jul →
overpass	13–8	-0.01	14%	21 Jul →
inferno	15–15	0.02	13%	21 Jul →
ancient	15–15	-0.03	10%	21 Jul →
dust2	13–11	-0.00	13%	19 Jul →
ancient	10–13	0.03	9%	16 Jul →
mirage	13–8	0.08	18%	15 Jul →
ancient	13–9	0.04	21%	15 Jul →
mirage	13–6	-0.01	8%	8 Jul →
ancient	13–5	0.03	10%	8 Jul →
nuke	13–11	0.03	26%	8 Jul →
nuke	13–8	0.05	22%	6 Jul →
ancient	10–13	0.04	15%	6 Jul →
mirage	10–13	-0.03	17%	28 Jun →
nuke	10–13	-0.10	8%	28 Jun →
ancient	10–13	0.09	8%	28 Jun →
inferno	13–2	0.05	21%	28 Jun →
ancient	8–13	-0.05	5%	23 Jun →
dust2	5–13	-0.03	14%	23 Jun →
nuke	13–11	-0.03	3%	23 Jun →
mirage	9–13	0.03	11%	23 Jun →
nuke	13–7	-0.03	12%	22 Jun →