Koekel — CS2 Stats

76561198262902181[U:1:302636453]

1,658Tracked matches21%Win rate2020Tracked since

CSDB Rating1.1 Learning

Premier CS Rating1,000Grey band · top ~95.8% of ranked players (population est.)

WingmanSilver I

Ladder ranks via Leetify

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Performance scores

Aim1

Positioning24

Utility37

0–100 skill scores via Leetify.

Recent form

COLD22–76–2Last 10022%Win rateLLLLLLLLLL

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

Aim0.1

Aggression0.4

Utility3.7

Positioning2.4

Opening Duels0.0

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 56% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 811ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim0.1

Positioning2.4

Utility3.7

Mechanics1.3

Opening Duels0.0

Win Impact0.0

Composite 1.1/10 (Learning), 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-0.06−0.00

first ⅓ avg -0.06 → last ⅓ avg -0.06

Reaction time820ms−20ms

first ⅓ avg 840ms → last ⅓ avg 820ms

Headshot accuracy8.1%+0.8%

first ⅓ avg 7.3% → last ⅓ avg 8.1%

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

0.08Best rating — inferno 13–10

13–4Biggest win — dust2

3Longest win streak

L10Current streak

3–2In matches decided by ≤2 rounds

5Overtime games

Map breakdown

overpassBest map · 40% over 5anubisWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	35	9–26	26%	-0.05
mirage	D	24	3–21	13%	-0.07
nuke	D	15	4–11	27%	-0.08
inferno	C	11	4–7	36%	-0.06
anubis	D	6	0–6	0%	-0.06
overpass	C	5	2–3	40%	-0.08
ancient	—	4	0–4	0%	-0.09

Across the last 100 tracked matches.

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

8.0%Headshot accuracy

23.0%Accuracy (enemy spotted)

23.8%Spray accuracy

55.6%Counter-strafing

20.7°Preaim

811msReaction time

20.0%T opening success

20.4%CT opening success

0.77Enemies flashed / flash

1.8%Flash assists

10.91HE damage / grenade

2.71Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 20.7399° — above the 12° mark we flag
Aim Training →
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 7.9861% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 811.46ms — above the 700ms mark we flag
Aim Training →

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.

0% win rate across 6 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
mirage	4–13	-0.10	27%	26 May →
nuke	7–13	-0.11	5%	26 May →
inferno	7–13	-0.12	6%	26 May →
dust2	5–13	-0.06	9%	26 May →
ancient	8–13	-0.12	16%	25 May →
mirage	1–13	-0.12	9%	24 May →
nuke	1–13	-0.10	0%	24 May →
dust2	10–13	0.00	8%	9 May →
dust2	5–13	-0.02	6%	9 May →
inferno	3–13	-0.04	8%	30 Apr →
inferno	13–10	0.08	7%	30 Apr →
anubis	15–15	-0.05	10%	29 Apr →
inferno	13–9	0.02	11%	29 Apr →
dust2	4–13	-0.10	2%	29 Apr →
dust2	13–7	-0.02	9%	26 Apr →
mirage	4–13	-0.10	4%	26 Apr →
mirage	5–13	-0.07	10%	24 Apr →
dust2	16–12	-0.04	4%	17 Apr →
dust2	8–13	-0.04	4%	17 Apr →
mirage	10–13	-0.12	3%	17 Apr →
anubis	1–13	-0.13	17%	15 Apr →
mirage	13–10	-0.05	16%	15 Apr →
mirage	8–13	-0.09	6%	15 Apr →
mirage	16–13	-0.07	0%	9 Apr →
mirage	2–13	-0.05	5%	9 Apr →
mirage	4–13	-0.12	6%	6 Apr →
dust2	0–13	-0.08	14%	6 Apr →
mirage	5–13	-0.05	11%	6 Apr →
inferno	3–13	-0.09	4%	6 Apr →
dust2	8–13	-0.06	11%	6 Apr →
mirage	3–13	-0.04	9%	1 Apr →
dust2	3–13	-0.05	6%	1 Apr →
nuke	13–10	-0.02	8%	1 Apr →
ancient	8–13	-0.03	4%	1 Apr →
overpass	2–13	-0.05	7%	1 Apr →
mirage	4–13	-0.06	4%	1 Apr →
ancient	8–13	-0.09	10%	31 Mar →
nuke	0–13	-0.09	0%	31 Mar →
inferno	15–15	-0.09	7%	26 Mar →
anubis	7–13	0.06	6%	26 Mar →
mirage	10–13	0.00	8%	26 Mar →
mirage	10–13	-0.08	10%	26 Mar →
dust2	3–13	-0.04	18%	26 Mar →
dust2	2–13	-0.11	4%	25 Mar →
mirage	4–13	-0.10	6%	25 Mar →
nuke	0–13	-0.18	5%	25 Mar →
inferno	10–13	-0.06	2%	24 Mar →
nuke	7–13	-0.09	11%	24 Mar →
nuke	9–13	-0.06	13%	24 Mar →
dust2	4–13	-0.06	6%	24 Mar →
nuke	10–13	-0.02	2%	24 Mar →
inferno	5–13	-0.08	3%	24 Mar →
dust2	11–13	-0.01	10%	23 Mar →
overpass	13–11	-0.04	9%	23 Mar →
mirage	7–13	-0.06	12%	23 Mar →
nuke	13–9	-0.06	7%	23 Mar →
ancient	6–13	-0.13	19%	23 Mar →
dust2	3–13	0.05	16%	23 Mar →
nuke	13–8	-0.07	7%	23 Mar →
nuke	2–13	-0.14	0%	22 Mar →
mirage	4–13	-0.11	0%	22 Mar →
dust2	13–8	-0.00	8%	22 Mar →
dust2	9–13	-0.07	5%	21 Mar →
mirage	10–13	-0.07	13%	20 Mar →
overpass	6–13	-0.14	10%	20 Mar →
dust2	13–7	-0.02	4%	20 Mar →
overpass	2–13	-0.12	8%	20 Mar →
dust2	3–13	-0.09	16%	20 Mar →
dust2	13–4	0.00	6%	20 Mar →
inferno	13–5	-0.07	3%	19 Mar →
mirage	13–7	-0.04	11%	19 Mar →
mirage	9–13	-0.06	9%	18 Mar →
anubis	1–13	-0.05	5%	17 Mar →
dust2	3–13	-0.05	6%	17 Mar →
nuke	3–13	-0.07	6%	17 Mar →
mirage	14–16	-0.03	6%	17 Mar →
dust2	8–13	-0.03	9%	17 Mar →
dust2	3–13	-0.11	5%	16 Mar →
dust2	13–7	-0.07	9%	16 Mar →
mirage	9–13	-0.03	6%	16 Mar →
nuke	5–13	-0.09	13%	15 Mar →
nuke	13–7	-0.05	3%	15 Mar →
dust2	2–13	-0.09	4%	14 Mar →
dust2	13–11	-0.08	0%	14 Mar →
inferno	3–13	-0.07	5%	14 Mar →
dust2	8–13	-0.11	6%	14 Mar →
dust2	5–13	-0.05	14%	14 Mar →
dust2	6–13	-0.11	0%	13 Mar →
anubis	5–13	-0.08	11%	13 Mar →
dust2	9–13	-0.03	8%	13 Mar →
dust2	1–13	-0.10	8%	13 Mar →
dust2	13–10	-0.02	5%	12 Mar →
dust2	7–13	0.00	3%	11 Mar →
mirage	7–13	-0.11	10%	11 Mar →
overpass	13–4	-0.05	22%	11 Mar →
dust2	13–6	0.01	13%	10 Mar →
nuke	2–13	-0.08	0%	10 Mar →
dust2	5–13	-0.05	12%	10 Mar →
inferno	13–11	-0.13	4%	9 Mar →
anubis	10–13	-0.08	3%	8 Mar →