Knollsen — CS2 Stats

DE76561198337423673[U:1:377157945]Steam profile ↗✓ No bans

1,647Tracked matches50%Win rate2021Tracked since

CSDB Rating4.0 Developing

Premier CS Rating10,715Blue band · top ~51.1% of ranked players (population est.)

CSDB Leaderboard#41586 of 58984 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim45

Positioning39

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLTLLLWWWWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim4.5

Aggression4.0

Utility4.2

Positioning3.9

Opening Duels0.0

Clutch3.2

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 NiKo 73% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 603ms 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

Aim4.5

Positioning3.9

Utility4.2

Mechanics6.0

Opening Duels0.0

Win Impact5.0

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time604ms−22ms

first ⅓ avg 625ms → last ⅓ avg 604ms

Headshot accuracy8.0%−1.6%

first ⅓ avg 9.5% → last ⅓ avg 8.0%

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

0.09Best rating — dust2 13–6

13–1Biggest win — nuke

6Longest win streak

14–11In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 60% over 5anubisWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	22	10–12	45%	-0.02
dust2	A	21	12–9	57%	-0.02
inferno	B	19	10–9	53%	-0.02
nuke	B	15	7–8	47%	-0.02
anubis	C	11	4–7	36%	-0.03
mirage	C	7	3–4	43%	-0.04
cache	A	5	3–2	60%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

425Matches

49%Win rate

0.79Avg K/D

57.2ADR

32%Headshot %

Clutches & streaks

36%1v1 clutch win

11%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	96	53%	0.83	10.2
Ancient	87	52%	0.83	10.7
Inferno	70	50%	0.74	9.7
Anubis	69	46%	0.82	11.3
Dust2	45	51%	0.84	10.8
Mirage	44	43%	0.68	9.1
Vertigo	11	18%	0.51	7.7
Train	1	0%	0.41	7.0

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.

7.9%Headshot accuracy

32.5%Accuracy (enemy spotted)

29.7%Spray accuracy

77.2%Counter-strafing

9.2°Preaim

603msReaction time

27.5%T opening success

26.3%CT opening success

0.56Enemies flashed / flash

4.9%Flash assists

7.41HE damage / grenade

2.59Flashes / 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 7.8561% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.5856 — below the 4 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 27.5243% — below the 40% mark we flag

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.

36% win rate across 11 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
cache	5–13	-0.01	10%	30 Aug →
nuke	15–15	-0.01	9%	30 Aug →
nuke	7–13	-0.06	11%	30 Aug →
anubis	11–13	-0.04	6%	26 Aug →
ancient	7–13	-0.04	1%	26 Aug →
anubis	16–12	-0.03	5%	26 Aug →
cache	13–4	-0.08	5%	26 Aug →
nuke	13–7	-0.03	8%	26 Aug →
inferno	13–11	0.00	10%	24 Aug →
ancient	7–13	-0.06	11%	24 Aug →
inferno	9–13	-0.02	11%	24 Aug →
dust2	11–13	-0.07	14%	23 Aug →
inferno	3–13	-0.09	5%	23 Aug →
cache	13–8	0.00	9%	23 Aug →
mirage	13–8	-0.05	9%	23 Aug →
dust2	10–13	-0.06	4%	23 Aug →
ancient	5–13	-0.04	3%	23 Aug →
dust2	4–13	-0.04	8%	23 Aug →
ancient	13–11	0.00	4%	23 Aug →
inferno	13–7	0.07	16%	23 Aug →
dust2	13–11	-0.03	12%	20 Aug →
nuke	13–1	-0.03	11%	20 Aug →
ancient	13–11	-0.05	7%	18 Aug →
nuke	13–6	-0.01	6%	18 Aug →
ancient	11–13	0.00	6%	18 Aug →
ancient	13–4	0.01	5%	18 Aug →
dust2	15–15	-0.06	5%	17 Aug →
cache	13–10	0.03	6%	17 Aug →
ancient	5–13	-0.07	5%	17 Aug →
nuke	4–13	-0.06	14%	16 Aug →
inferno	13–2	-0.01	8%	16 Aug →
dust2	9–13	-0.03	11%	16 Aug →
inferno	6–13	-0.04	8%	16 Aug →
dust2	13–8	-0.00	16%	15 Aug →
anubis	10–13	-0.01	4%	15 Aug →
ancient	13–11	-0.04	6%	15 Aug →
anubis	13–6	0.01	5%	14 Aug →
dust2	8–13	-0.05	10%	11 Aug →
anubis	13–11	0.01	7%	11 Aug →
inferno	13–11	-0.03	17%	10 Aug →
ancient	13–8	0.02	7%	8 Aug →
dust2	13–8	0.01	9%	8 Aug →
inferno	16–13	-0.00	4%	8 Aug →
nuke	14–16	0.02	11%	8 Aug →
inferno	13–7	-0.05	15%	8 Aug →
dust2	13–7	-0.06	16%	8 Aug →
dust2	16–13	-0.04	14%	8 Aug →
inferno	13–8	-0.02	12%	8 Aug →
nuke	13–8	0.05	5%	7 Aug →
ancient	11–13	-0.02	9%	6 Aug →
anubis	13–11	-0.02	8%	6 Aug →
ancient	16–14	0.05	5%	6 Aug →
anubis	10–13	-0.05	14%	4 Aug →
ancient	13–9	-0.01	8%	4 Aug →
dust2	13–11	-0.04	4%	4 Aug →
ancient	13–3	0.02	9%	3 Aug →
ancient	8–13	-0.03	10%	3 Aug →
mirage	13–11	-0.07	4%	3 Aug →
inferno	6–13	0.02	12%	3 Aug →
dust2	13–11	-0.04	7%	1 Aug →
anubis	11–13	-0.04	4%	1 Aug →
ancient	13–9	0.01	10%	1 Aug →
mirage	13–11	-0.06	10%	1 Aug →
mirage	11–13	0.00	8%	1 Aug →
nuke	7–13	-0.03	6%	1 Aug →
anubis	4–13	-0.09	14%	31 Jul →
mirage	15–15	-0.02	15%	31 Jul →
dust2	9–13	-0.04	11%	31 Jul →
dust2	13–6	0.09	9%	31 Jul →
mirage	2–13	-0.07	8%	30 Jul →
nuke	13–9	0.00	11%	30 Jul →
ancient	13–9	-0.04	11%	28 Jul →
nuke	11–13	-0.01	5%	28 Jul →
nuke	13–5	0.01	10%	27 Jul →
cache	8–13	-0.07	10%	26 Jul →
nuke	13–9	-0.05	7%	23 Jul →
inferno	10–13	-0.01	15%	23 Jul →
anubis	12–16	-0.02	12%	21 Jul →
inferno	13–11	0.02	11%	20 Jul →
dust2	13–10	-0.00	5%	19 Jul →
dust2	4–13	-0.07	10%	19 Jul →
ancient	7–13	0.00	17%	19 Jul →
inferno	12–16	-0.03	24%	19 Jul →
ancient	6–13	-0.13	6%	19 Jul →
ancient	5–13	0.07	10%	19 Jul →
inferno	13–10	-0.07	12%	19 Jul →
nuke	5–13	-0.06	4%	19 Jul →
inferno	13–9	-0.03	6%	19 Jul →
ancient	0–13	-0.02	4%	19 Jul →
dust2	13–2	0.07	9%	18 Jul →
ancient	11–13	-0.10	4%	18 Jul →
inferno	10–13	-0.06	7%	18 Jul →
dust2	9–13	-0.04	10%	18 Jul →
dust2	13–6	-0.00	7%	18 Jul →
anubis	13–16	-0.02	7%	18 Jul →
nuke	9–13	-0.01	11%	18 Jul →
dust2	13–6	0.05	13%	18 Jul →
mirage	11–13	0.00	10%	18 Jul →
inferno	5–13	-0.06	8%	18 Jul →
inferno	11–13	0.01	10%	18 Jul →