Qparkk — CS2 Stats

76561198267932372[U:1:307666644]✓ No bans

3,265Tracked matches62%Win rate2020Tracked since

3,944Hours in CS57Hrs last 2 wks

CSDB Rating7.2 StrongAggressive Rifler

Premier CS Rating25,455Top 25% of 819 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#2297 of 18045 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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	47.5%	52.8%
Shot accuracy	11.8%	13.7%
Kill/death ratio	1.15	1.08
Match win rate	51.5%	49.2%

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Performance scores

Aim76

Positioning59

Utility74

0–100 skill scores via Leetify.

Recent form

STEADY58–38–4Last 10058%Win rateWLWWLLWLWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim7.6

Aggression7.5

Utility7.4

Positioning5.9

Opening Duels3.8

Clutch3.8

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 Twistzz 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Reaction time. 553ms 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

Aim7.6

Positioning5.9

Utility7.4

Mechanics6.8

Opening Duels3.8

Win Impact9.0

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time547ms−61ms

first ⅓ avg 608ms → last ⅓ avg 547ms

Headshot accuracy18.7%−0.1%

first ⅓ avg 18.9% → last ⅓ avg 18.7%

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 — inferno 9–2

13–1Biggest win — cache

5Longest win streak

2–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 77% over 13mirageWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	30	15–15	50%	0.01
dust2	S	22	15–7	68%	0.00
mirage	C	14	6–8	43%	-0.00
cache	S	13	10–3	77%	0.02
anubis	S	9	6–3	67%	0.01
ancient	B	8	4–4	50%	0.00
nuke	—	4	2–2	50%	0.03

Across the last 100 tracked matches.

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

Lifetime stats

114,772Lifetime kills

1.15K/D · Top 50% of Level 10 players

5,624Matches

51.5%Match win rate · Top 50% of Level 10 players

47.5%Headshot %

11.8%Shot accuracy

16,210MVPs

2,493Hours (in match)

6,226Bombs planted

1,567Bombs defused

Most-used weapons

AK-4740,629

M4A4 / M4A1-S21,313

AWP14,296

Desert Eagle5,988

P2000 / USP-S5,985

Glock-183,906

MAC-102,419

MP92,316

P2502,007

Galil AR1,980

Lifetime map wins

10,648dust2

10,641inferno

4,525nuke

1,620train

1,568vertigo

202cbble

98office

24lake

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

Faceit stats

Combat

433Matches

57%Win rate

1.05Avg K/D

78.7ADR

46%Headshot %

Clutches & streaks

39%1v1 clutch win

19%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	38	71%	1.05	16.8
Dust2	32	69%	0.93	15.0
Mirage	29	48%	1.03	14.4
Anubis	26	58%	1.03	16.0
Ancient	21	52%	1.03	17.1
Nuke	12	50%	0.93	12.6
Cache	12	58%	1.02	14.2
Overpass	6	50%	1.08	14.7

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.

18.5%Headshot accuracy

36.8%Accuracy (enemy spotted)

40.0%Spray accuracy

80.7%Counter-strafing

10.8°Preaim

553msReaction time

38.6%T opening success

51.5%CT opening success

0.70Enemies flashed / flash

12.4%Flash assists

9.64HE damage / grenade

10.83Flashes / 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 38.5658% — 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.

43% win rate across 14 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
cache	13–10	0.05	29%	28 Aug →
mirage	2–13	-0.09	23%	28 Aug →
ancient	13–10	0.04	32%	27 Aug →
ancient	13–9	0.01	16%	26 Aug →
anubis	9–13	-0.04	20%	26 Aug →
inferno	9–13	-0.06	6%	23 Aug →
dust2	13–8	-0.04	13%	19 Aug →
ancient	4–13	-0.01	29%	19 Aug →
inferno	13–5	0.04	7%	19 Aug →
cache	13–1	0.04	22%	16 Aug →
dust2	13–6	0.06	21%	16 Aug →
cache	13–8	0.04	20%	16 Aug →
inferno	15–15	-0.03	17%	16 Aug →
anubis	13–10	0.05	30%	16 Aug →
mirage	3–6	-0.02	28%	14 Aug →
cache	13–9	0.04	15%	14 Aug →
dust2	4–13	0.04	17%	14 Aug →
inferno	7–13	0.01	27%	14 Aug →
cache	13–8	-0.01	16%	14 Aug →
mirage	13–4	0.07	16%	14 Aug →
inferno	13–10	0.08	13%	14 Aug →
anubis	13–10	0.07	15%	14 Aug →
dust2	13–16	-0.06	13%	14 Aug →
nuke	13–3	0.13	7%	14 Aug →
cache	9–13	0.01	20%	14 Aug →
dust2	13–6	0.05	30%	13 Aug →
ancient	11–13	-0.01	14%	13 Aug →
inferno	13–5	0.00	13%	13 Aug →
anubis	13–4	0.04	13%	13 Aug →
mirage	11–13	0.03	22%	13 Aug →
cache	8–13	0.03	26%	13 Aug →
anubis	16–13	-0.02	18%	13 Aug →
anubis	16–14	0.02	12%	13 Aug →
mirage	6–13	-0.02	17%	13 Aug →
anubis	5–13	0.03	18%	13 Aug →
dust2	13–5	0.04	18%	13 Aug →
cache	16–13	-0.02	14%	13 Aug →
ancient	13–6	0.04	15%	13 Aug →
dust2	13–8	-0.04	24%	13 Aug →
mirage	13–3	-0.01	27%	12 Aug →
nuke	11–13	-0.04	17%	12 Aug →
dust2	13–8	0.03	22%	10 Aug →
inferno	13–7	-0.04	15%	10 Aug →
dust2	13–7	-0.05	14%	10 Aug →
cache	13–5	0.03	29%	10 Aug →
nuke	11–13	0.03	17%	10 Aug →
dust2	9–13	-0.04	13%	10 Aug →
inferno	13–3	0.03	20%	8 Aug →
dust2	13–4	-0.03	24%	8 Aug →
inferno	7–13	0.00	17%	8 Aug →
mirage	8–13	-0.07	20%	8 Aug →
ancient	10–13	-0.02	20%	8 Aug →
mirage	13–10	-0.02	15%	6 Aug →
inferno	10–13	0.01	20%	5 Aug →
inferno	13–2	0.06	22%	5 Aug →
mirage	14–16	-0.02	26%	4 Aug →
dust2	6–13	-0.03	24%	4 Aug →
mirage	13–1	0.14	27%	4 Aug →
mirage	13–8	-0.02	22%	31 Jul →
cache	8–13	-0.02	12%	31 Jul →
mirage	13–5	0.05	19%	31 Jul →
mirage	6–13	-0.05	17%	31 Jul →
inferno	13–4	0.08	30%	31 Jul →
dust2	13–7	0.02	14%	29 Jul →
inferno	4–13	-0.03	13%	29 Jul →
anubis	13–7	0.01	32%	29 Jul →
dust2	13–4	0.04	22%	29 Jul →
inferno	8–8	-0.03	6%	28 Jul →
inferno	9–2	0.24	33%	28 Jul →
inferno	11–13	-0.00	22%	28 Jul →
dust2	8–13	-0.07	8%	28 Jul →
ancient	13–8	0.02	15%	27 Jul →
dust2	13–3	-0.03	24%	27 Jul →
dust2	13–5	0.02	12%	27 Jul →
cache	13–4	-0.01	21%	27 Jul →
inferno	11–13	0.02	17%	27 Jul →
inferno	13–6	0.07	8%	27 Jul →
dust2	16–14	0.10	28%	27 Jul →
nuke	11–0	0.01	50%	27 Jul →
inferno	13–10	0.11	24%	27 Jul →
inferno	13–6	0.03	14%	27 Jul →
anubis	5–13	-0.04	6%	27 Jul →
dust2	13–6	0.02	12%	27 Jul →
inferno	13–10	0.02	23%	22 Jul →
inferno	14–16	-0.05	27%	22 Jul →
inferno	0–9	-0.16	0%	21 Jul →
inferno	13–9	0.04	20%	21 Jul →
inferno	13–6	-0.03	16%	21 Jul →
ancient	15–15	-0.05	19%	21 Jul →
dust2	8–13	-0.02	18%	21 Jul →
inferno	7–13	0.02	25%	21 Jul →
cache	13–6	0.09	25%	21 Jul →
inferno	8–8	-0.04	20%	21 Jul →
cache	13–5	0.00	13%	20 Jul →
mirage	8–13	0.02	16%	20 Jul →
inferno	6–9	0.00	21%	20 Jul →
inferno	9–13	-0.04	6%	20 Jul →
dust2	11–13	0.01	17%	20 Jul →
dust2	13–8	0.04	31%	20 Jul →
inferno	13–3	0.07	26%	20 Jul →