IQI QASIQ QAYMAQ — CS2 Stats

SI76561198821817211[U:1:861551483]Steam profile ↗✓ No bans

2,628Tracked matches48%Win rate2020Tracked since

10,483Hours in CS5Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

FaceitLevel 10 · 2,479 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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	55.9%	51.9%
Shot accuracy	14.2%	13.7%
Kill/death ratio	1.18	1.08
Match win rate	47.8%	48.7%

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Performance scores

Aim79

Positioning67

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateLWWLWLLWWW

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

Player DNA

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

Aim7.9

Aggression10.0

Utility4.8

Positioning6.7

Opening Duels5.3

Clutch4.2

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 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; 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

Areas to improve

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

Reaction time. 619ms 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

Aim7.9

Positioning6.7

Utility4.8

Mechanics6.0

Opening Duels5.3

Win Impact4.4

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.03

first ⅓ avg 0.02 → last ⅓ avg 0.05

Reaction time621ms−9ms

first ⅓ avg 630ms → last ⅓ avg 621ms

Headshot accuracy26.5%+1.3%

first ⅓ avg 25.1% → last ⅓ avg 26.5%

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

0.23Best rating — dust2 13–7

13–1Biggest win — ancient

4Longest win streak

9–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 62% over 42mirageWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	42	26–16	62%	0.05
anubis	C	16	7–9	44%	0.05
ancient	B	14	7–7	50%	0.03
nuke	C	9	4–5	44%	0.04
mirage	D	6	0–6	0%	0.03
inferno	D	5	0–5	0%	-0.04
overpass	—	4	2–2	50%	-0.03
cache	—	2	0–2	0%	0.00
train	—	2	1–1	50%	0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

403,935Lifetime kills

1.18K/D · Top 50% of Level 10 players

14,005Matches

47.8%Match win rate

55.9%Headshot % · Top 50% of Level 10 players

14.2%Shot accuracy · Top 50% of Level 10 players

52,794MVPs

6,262Hours (in match)

15,243Bombs planted

3,810Bombs defused

Most-used weapons

AK-47150,613

M4A4 / M4A1-S78,788

AWP34,909

Desert Eagle34,060

P2000 / USP-S22,689

SSG 0821,210

Glock-1813,721

P908,058

Knife4,846

Galil AR4,053

Lifetime map wins

117,448dust2

4,242inferno

3,540train

2,653nuke

1,886vertigo

250cbble

101ar_shoots

101lake

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

Faceit stats

Combat

3,861Matches

51%Win rate

1.19Avg K/D

89.5ADR

54%Headshot %

Clutches & streaks

41%1v1 clutch win

22%1v2 clutch win

13Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	917	57%	1.40	19.4
Anubis	447	49%	1.16	17.7
Ancient	300	49%	1.13	17.2
Nuke	163	45%	1.02	16.3
Inferno	161	41%	1.06	16.5
Train	150	48%	1.21	19.1
Mirage	134	46%	0.98	15.2
Overpass	101	47%	1.03	16.0

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.

26.1%Headshot accuracy

34.3%Accuracy (enemy spotted)

41.7%Spray accuracy

76.8%Counter-strafing

8.9°Preaim

619msReaction time

47.6%T opening success

54.8%CT opening success

0.49Enemies flashed / flash

6.6%Flash assists

6.81HE damage / grenade

7.44Flashes / 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 0.4917 — below the 0.5 mark we flag
Grenade Lineups →

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.

0% win rate across 6 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
dust2	5–13	-0.01	36%	27 Aug →
dust2	13–4	-0.04	29%	27 Aug →
anubis	13–9	0.11	30%	15 Jul →
mirage	7–13	-0.01	26%	15 Jul →
ancient	13–5	0.14	31%	14 Jul →
mirage	9–13	0.01	26%	13 Jul →
ancient	3–5	0.06	33%	13 Jul →
ancient	13–1	0.09	16%	11 Jul →
ancient	13–10	-0.02	26%	11 Jul →
anubis	13–11	0.08	23%	10 Jul →
anubis	13–10	0.09	14%	10 Jul →
nuke	11–13	0.07	29%	10 Jul →
dust2	13–7	0.05	40%	10 Jul →
ancient	7–13	0.03	30%	10 Jul →
dust2	13–8	0.07	19%	10 Jul →
cache	7–13	0.01	26%	9 Jul →
dust2	13–11	0.04	19%	9 Jul →
ancient	4–13	-0.04	17%	9 Jul →
cache	3–13	-0.01	21%	9 Jul →
dust2	3–13	0.04	30%	9 Jul →
anubis	11–13	0.08	18%	9 Jul →
dust2	8–13	0.11	31%	9 Jul →
dust2	13–2	0.20	23%	9 Jul →
anubis	8–13	0.03	20%	9 Jul →
ancient	13–5	0.02	24%	8 Jul →
dust2	13–7	0.23	31%	7 Jul →
dust2	12–12	0.09	24%	7 Jul →
ancient	0–11	-0.02	24%	6 Jul →
mirage	3–13	0.12	32%	6 Jul →
dust2	13–4	-0.01	41%	5 Jul →
anubis	9–13	0.01	24%	2 Jul →
nuke	13–5	0.04	30%	1 Jul →
dust2	13–5	0.00	29%	1 Jul →
dust2	5–13	-0.07	18%	23 Jun →
dust2	13–6	0.07	18%	10 Jun →
anubis	13–6	0.08	20%	10 Jun →
nuke	3–13	0.01	27%	1 Jun →
dust2	13–10	0.11	35%	31 May →
ancient	25–21	-0.02	20%	31 May →
anubis	13–5	0.03	13%	31 May →
inferno	0–8	0.07	16%	26 May →
overpass	16–14	-0.06	33%	26 May →
nuke	13–8	0.02	18%	26 May →
dust2	13–1	0.06	31%	25 May →
inferno	8–13	0.02	17%	22 May →
dust2	3–13	0.03	19%	22 May →
anubis	8–13	0.03	19%	21 May →
overpass	8–13	0.01	20%	20 May →
dust2	13–10	-0.04	20%	19 May →
dust2	8–13	0.02	37%	19 May →
dust2	13–10	0.05	43%	19 May →
dust2	13–5	0.12	35%	18 May →
dust2	13–11	0.11	27%	18 May →
nuke	8–13	0.08	22%	18 May →
dust2	8–13	0.11	22%	18 May →
anubis	12–16	0.06	28%	17 May →
anubis	5–13	0.04	28%	17 May →
nuke	13–6	-0.00	47%	15 May →
anubis	6–13	-0.01	23%	12 May →
anubis	6–13	0.05	21%	11 May →
dust2	9–13	0.05	34%	10 May →
ancient	13–8	0.08	23%	3 May →
mirage	6–13	-0.08	11%	2 May →
dust2	13–11	0.06	21%	2 May →
dust2	13–11	0.04	19%	1 May →
dust2	19–15	0.10	24%	30 Apr →
mirage	9–13	0.07	23%	28 Apr →
mirage	5–13	0.06	38%	27 Apr →
overpass	9–13	-0.09	14%	27 Apr →
dust2	13–4	0.10	35%	26 Apr →
ancient	13–16	0.01	32%	23 Apr →
dust2	3–13	0.01	33%	31 Mar →
dust2	13–4	0.05	40%	2 Mar →
nuke	13–2	0.08	28%	7 Feb →
dust2	7–13	0.03	16%	7 Feb →
anubis	16–14	0.07	27%	7 Feb →
inferno	1–9	-0.29	17%	29 Jan →
dust2	13–10	-0.03	19%	26 Jan →
inferno	7–13	-0.04	21%	20 Jan →
anubis	6–13	0.00	6%	18 Jan →
dust2	13–10	0.00	27%	17 Jan →
dust2	11–13	-0.01	21%	15 Jan →
anubis	13–9	0.02	21%	14 Jan →
dust2	13–8	0.04	30%	8 Jan →
dust2	12–12	0.12	32%	4 Jan →
nuke	9–13	0.06	25%	4 Jan →
dust2	6–13	0.04	25%	3 Jan →
dust2	8–13	-0.00	40%	3 Jan →
dust2	13–11	0.02	12%	3 Jan →
dust2	13–10	-0.01	29%	2 Jan →
ancient	16–19	0.06	23%	1 Jan →
ancient	13–10	0.00	31%	1 Jan →
ancient	4–13	-0.00	29%	31 Dec →
dust2	13–10	0.07	38%	31 Dec →
nuke	6–13	0.02	25%	30 Dec →
train	13–10	0.12	28%	21 Dec →
inferno	3–13	0.02	13%	21 Dec →
overpass	13–11	0.02	18%	20 Dec →
dust2	12–12	-0.02	22%	20 Dec →
train	10–13	0.04	17%	14 Dec →