kqhn — CS2 Stats

AU76561198069073019[U:1:108807291]Steam profile ↗✓ No bans

1,228Tracked matches66%Win rate2023Tracked since

CSDB Rating6.4 SolidAggressive Rifler

Premier CS Rating23,642Top 25% of 29,473 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim83

Positioning48

Utility37

0–100 skill scores via Leetify.

Recent form

HOT62–37–1Last 10062%Win rateWWLWWWWWLT

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

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

Aim8.3

Aggression6.5

Utility3.7

Positioning4.8

Opening Duels2.5

Clutch3.6

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 Twistzz 88% playstyle similarity

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

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

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 52% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim8.3

Positioning4.8

Utility3.7

Mechanics6.7

Opening Duels2.7

Win Impact10.0

Composite 6.4/10 (Solid), 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 rating0.02+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time592ms−57ms

first ⅓ avg 649ms → last ⅓ avg 592ms

Headshot accuracy22.7%+2.8%

first ⅓ avg 19.9% → last ⅓ avg 22.7%

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

0.13Best rating — cache 13–2

13–1Biggest win — cache

5Longest win streak

W2Current streak

7–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 74% over 19dust2Weakest map · 56% over 36

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	36	20–16	56%	0.00
mirage	A	21	12–9	57%	0.01
ancient	S	19	14–5	74%	0.01
cache	S	13	9–4	69%	0.01
nuke	S	7	5–2	71%	0.01
overpass	—	1	0–1	0%	0.09
train	—	1	1–0	100%	-0.00
inferno	—	1	1–0	100%	-0.05
boulder	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (56% over 36). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

58Matches

50%Win rate

1.18Avg K/D

83.5ADR

52%Headshot %

Clutches & streaks

38%1v1 clutch win

33%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	15	67%	1.31	17.1
Mirage	15	40%	1.16	15.3
Ancient	7	71%	1.32	16.7
Nuke	5	40%	1.39	20.8
Inferno	4	75%	1.18	11.8
Cache	3	33%	0.61	10.7
Anubis	1	100%	2.40	12.0

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.

22.3%Headshot accuracy

36.5%Accuracy (enemy spotted)

34.9%Spray accuracy

80.3%Counter-strafing

6.9°Preaim

592msReaction time

28.5%T opening success

51.8%CT opening success

0.49Enemies flashed / flash

6.9%Flash assists

7.68HE damage / grenade

5.67Flashes / 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 0.4919 — below the 0.5 mark we flag
Grenade Lineups →
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 28.4966% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–11	0.06	24%	30 Aug →
mirage	13–9	0.02	30%	30 Aug →
ancient	8–13	-0.02	39%	29 Aug →
cache	13–1	0.02	26%	29 Aug →
ancient	13–2	0.06	24%	29 Aug →
mirage	13–9	0.02	12%	29 Aug →
ancient	13–9	-0.02	18%	29 Aug →
dust2	13–6	-0.01	16%	29 Aug →
ancient	6–13	-0.01	16%	27 Aug →
overpass	12–12	0.09	20%	26 Aug →
dust2	6–13	-0.01	23%	25 Aug →
dust2	13–5	0.05	30%	25 Aug →
dust2	13–3	0.07	34%	24 Aug →
mirage	11–13	0.08	10%	23 Aug →
dust2	7–13	0.01	34%	23 Aug →
mirage	13–11	-0.00	34%	22 Aug →
cache	13–6	0.00	11%	22 Aug →
ancient	13–9	-0.02	22%	22 Aug →
ancient	13–8	0.06	18%	22 Aug →
dust2	9–13	0.02	16%	21 Aug →
mirage	9–13	0.02	15%	21 Aug →
dust2	13–5	-0.05	17%	21 Aug →
cache	13–9	-0.00	39%	21 Aug →
ancient	13–9	0.08	26%	21 Aug →
cache	16–14	0.01	21%	21 Aug →
nuke	14–16	-0.01	25%	20 Aug →
ancient	13–3	0.04	14%	20 Aug →
cache	9–13	-0.03	19%	20 Aug →
dust2	13–9	-0.02	21%	19 Aug →
cache	10–13	-0.00	18%	16 Aug →
dust2	13–1	0.09	38%	16 Aug →
cache	3–13	-0.04	24%	15 Aug →
ancient	13–9	-0.05	17%	15 Aug →
cache	13–2	0.13	24%	15 Aug →
dust2	13–10	-0.03	18%	15 Aug →
ancient	13–6	0.04	28%	15 Aug →
mirage	13–10	-0.00	10%	15 Aug →
dust2	8–13	-0.06	23%	15 Aug →
dust2	13–9	0.02	15%	15 Aug →
mirage	13–11	-0.05	17%	15 Aug →
nuke	13–5	-0.05	29%	14 Aug →
dust2	9–13	0.01	13%	14 Aug →
ancient	13–5	0.06	20%	14 Aug →
dust2	16–13	0.01	18%	14 Aug →
nuke	6–13	0.02	16%	13 Aug →
train	13–4	-0.00	14%	12 Aug →
dust2	13–7	-0.03	17%	12 Aug →
mirage	13–10	0.00	23%	10 Aug →
ancient	10–13	-0.02	13%	10 Aug →
dust2	13–8	0.03	16%	10 Aug →
dust2	11–13	0.01	26%	9 Aug →
ancient	12–16	-0.04	18%	9 Aug →
mirage	13–7	0.04	10%	9 Aug →
dust2	16–14	-0.01	19%	9 Aug →
dust2	13–8	0.03	23%	9 Aug →
dust2	13–2	0.01	9%	8 Aug →
dust2	9–13	-0.00	26%	8 Aug →
nuke	13–6	0.01	36%	8 Aug →
dust2	9–13	0.02	33%	7 Aug →
mirage	7–13	-0.02	22%	7 Aug →
dust2	7–13	-0.04	12%	7 Aug →
ancient	13–5	0.01	21%	7 Aug →
mirage	14–16	-0.02	17%	4 Aug →
dust2	13–5	-0.04	10%	4 Aug →
dust2	5–13	-0.02	18%	2 Aug →
inferno	16–14	-0.05	13%	1 Aug →
mirage	10–13	-0.05	15%	1 Aug →
mirage	6–13	-0.01	20%	1 Aug →
dust2	5–13	0.02	32%	31 Jul →
cache	13–10	0.04	9%	31 Jul →
cache	13–11	0.01	11%	31 Jul →
nuke	13–10	0.04	22%	31 Jul →
ancient	16–13	-0.01	14%	31 Jul →
nuke	13–8	0.01	16%	31 Jul →
dust2	12–16	-0.10	16%	26 Jul →
mirage	11–13	0.03	20%	26 Jul →
ancient	13–10	0.02	20%	26 Jul →
cache	13–4	-0.05	18%	25 Jul →
mirage	13–4	0.07	20%	25 Jul →
cache	0–2	-0.03	0%	25 Jul →
ancient	13–6	-0.04	19%	25 Jul →
dust2	13–7	0.00	24%	25 Jul →
dust2	13–3	-0.01	11%	25 Jul →
ancient	6–13	-0.01	9%	24 Jul →
dust2	8–13	-0.00	29%	24 Jul →
ancient	13–10	0.00	19%	24 Jul →
nuke	13–2	0.01	22%	24 Jul →
mirage	13–9	0.04	14%	24 Jul →
dust2	3–13	0.02	35%	24 Jul →
mirage	7–13	-0.05	16%	23 Jul →
mirage	13–9	0.01	25%	23 Jul →
dust2	10–13	-0.02	20%	23 Jul →
dust2	7–13	0.02	21%	22 Jul →
dust2	13–5	0.01	20%	22 Jul →
cache	13–8	0.07	28%	22 Jul →
boulder	11–13	-0.01	14%	22 Jul →
dust2	13–7	0.05	25%	20 Jul →
dust2	13–9	-0.01	31%	20 Jul →
mirage	13–10	0.02	22%	19 Jul →
mirage	4–13	-0.02	33%	19 Jul →