Zockerproblem — CS2 Stats

76561197996521600[U:1:36255872]

394Tracked matches31%Win rate2021Tracked since

1,509Hours in CS16Hrs last 2 wks

CSDB Rating2.6 Learning

Premier CS Rating11,570Blue band · top ~46.6% of ranked players (population est.)

CSDB Leaderboard#14312 of 20046 tracked

Ladder ranks via Leetify

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Performance scores

Aim23

Positioning45

Utility36

0–100 skill scores via Leetify.

Recent form

COLD44–50–6Last 10044%Win rateWLWLWLLLLL

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

Aim2.3

Aggression6.1

Utility3.6

Positioning4.5

Opening Duels1.8

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 NiKo 74% playstyle similarity

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

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 47% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 625ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim2.3

Positioning4.5

Utility3.6

Mechanics2.8

Opening Duels2.1

Win Impact0.0

Composite 2.6/10 (Learning), 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 -0.03 → last ⅓ avg -0.03

Reaction time642ms−30ms

first ⅓ avg 672ms → last ⅓ avg 642ms

Headshot accuracy12.9%−1.0%

first ⅓ avg 13.9% → last ⅓ avg 12.9%

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 — overpass 5–13

13–0Biggest win — anubis

5Longest win streak

6–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 56% over 9ancientWeakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	17	7–10	41%	-0.02
ancient	D	16	5–11	31%	-0.04
dust2	B	13	7–6	54%	-0.04
anubis	B	12	6–6	50%	-0.02
mirage	A	11	6–5	55%	-0.03
cache	B	10	5–5	50%	-0.02
nuke	A	9	5–4	56%	-0.03
vertigo	—	4	1–3	25%	0.01
office	—	3	0–3	0%	-0.06
overpass	—	3	1–2	33%	0.02
train	—	1	1–0	100%	-0.01
boulder	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,385Lifetime kills

0.98K/D

2,028Matches

41.9%Match win rate

38.3%Headshot %

15.6%Shot accuracy · Top 25% of tracked players

4,747MVPs

725Hours (in match)

1,868Bombs planted

353Bombs defused

Most-used weapons

AK-474,999

P904,579

M4A4 / M4A1-S4,440

UMP-452,672

P2000 / USP-S2,521

MP71,984

AWP1,816

Glock-181,634

Desert Eagle1,539

MAC-101,260

Lifetime map wins

6,760dust2

2,457cbble

2,063inferno

467nuke

453office

355vertigo

130train

129lake

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

Skill profile

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

12.9%Headshot accuracy

27.4%Accuracy (enemy spotted)

29.6%Spray accuracy

62.5%Counter-strafing

12.0°Preaim

625msReaction time

27.7%T opening success

46.9%CT opening success

0.36Enemies flashed / flash

1.4%Flash assists

6.94HE damage / grenade

6.18Flashes / 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 12.9374% — below the 15% mark we flag
Aim Training →
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 0.3595 — 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 27.7442% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	16–13	-0.05	20%	28 Aug →
mirage	3–13	-0.07	17%	27 Aug →
anubis	13–9	0.04	13%	27 Aug →
inferno	10–13	-0.03	9%	25 Aug →
anubis	13–0	0.04	11%	25 Aug →
inferno	11–13	0.00	11%	25 Aug →
anubis	12–16	-0.05	8%	24 Aug →
cache	6–13	-0.06	13%	24 Aug →
inferno	8–13	-0.04	20%	24 Aug →
anubis	4–13	-0.07	13%	22 Aug →
ancient	11–13	-0.04	8%	22 Aug →
mirage	2–13	-0.05	9%	22 Aug →
cache	4–13	-0.09	28%	18 Aug →
ancient	3–13	-0.06	11%	18 Aug →
ancient	6–13	-0.04	13%	18 Aug →
ancient	13–7	-0.04	7%	18 Aug →
ancient	13–10	0.00	12%	18 Aug →
inferno	16–14	-0.01	10%	17 Aug →
mirage	13–7	-0.10	6%	15 Aug →
ancient	3–6	-0.09	8%	15 Aug →
vertigo	11–13	0.05	10%	14 Aug →
cache	0–8	-0.00	19%	14 Aug →
dust2	13–8	0.04	16%	13 Aug →
dust2	8–13	-0.04	27%	5 Aug →
ancient	3–13	-0.06	23%	30 Jul →
vertigo	7–13	0.02	16%	30 Jul →
ancient	12–12	-0.04	10%	29 Jul →
ancient	10–13	-0.05	9%	21 Jul →
inferno	10–13	-0.04	11%	21 Jul →
mirage	13–10	-0.00	9%	20 Jul →
ancient	12–12	-0.07	7%	20 Jul →
dust2	6–13	-0.08	9%	20 Jul →
inferno	11–13	-0.03	13%	20 Jul →
mirage	6–0	-0.00	33%	20 Jul →
nuke	9–1	-0.05	14%	20 Jul →
ancient	12–12	-0.01	8%	19 Jul →
inferno	13–9	0.01	4%	19 Jul →
cache	7–13	0.03	5%	19 Jul →
anubis	8–13	-0.06	12%	17 Jul →
nuke	11–13	0.02	10%	17 Jul →
office	11–13	-0.09	6%	17 Jul →
mirage	6–13	-0.08	9%	17 Jul →
dust2	13–8	-0.06	11%	17 Jul →
inferno	8–13	-0.02	7%	17 Jul →
inferno	4–13	0.00	13%	17 Jul →
ancient	8–13	-0.02	7%	17 Jul →
train	13–8	-0.01	10%	16 Jul →
overpass	5–13	0.08	11%	16 Jul →
ancient	13–9	0.01	10%	16 Jul →
inferno	15–15	0.00	15%	16 Jul →
anubis	5–13	0.02	14%	16 Jul →
nuke	13–6	0.03	6%	16 Jul →
cache	13–9	-0.06	22%	16 Jul →
ancient	10–13	-0.06	10%	15 Jul →
inferno	6–13	-0.05	6%	15 Jul →
dust2	8–13	-0.11	13%	15 Jul →
nuke	2–13	-0.10	13%	15 Jul →
mirage	13–9	0.01	10%	15 Jul →
cache	13–11	-0.01	12%	15 Jul →
inferno	13–6	0.03	13%	15 Jul →
anubis	13–7	-0.09	8%	15 Jul →
cache	13–6	-0.02	5%	15 Jul →
overpass	4–13	-0.03	14%	15 Jul →
mirage	13–11	-0.02	16%	15 Jul →
vertigo	13–5	-0.05	11%	15 Jul →
anubis	8–13	-0.01	18%	14 Jul →
anubis	13–10	-0.03	2%	14 Jul →
dust2	13–5	-0.05	9%	14 Jul →
dust2	3–13	-0.01	14%	14 Jul →
dust2	13–7	-0.04	22%	14 Jul →
inferno	13–11	-0.06	7%	14 Jul →
cache	13–10	-0.02	22%	14 Jul →
dust2	13–10	-0.06	32%	14 Jul →
anubis	10–13	-0.07	11%	14 Jul →
nuke	13–9	0.04	11%	14 Jul →
mirage	1–8	-0.03	14%	14 Jul →
dust2	9–4	-0.00	17%	14 Jul →
mirage	13–8	-0.00	9%	14 Jul →
inferno	13–4	0.03	16%	14 Jul →
cache	4–13	-0.01	4%	13 Jul →
ancient	13–11	-0.09	11%	13 Jul →
nuke	4–9	-0.13	12%	13 Jul →
nuke	13–8	0.03	10%	13 Jul →
office	10–13	-0.03	17%	13 Jul →
dust2	9–13	-0.04	11%	13 Jul →
vertigo	8–13	0.01	13%	13 Jul →
anubis	13–4	0.01	11%	13 Jul →
inferno	12–12	-0.02	13%	13 Jul →
boulder	12–12	-0.09	20%	12 Jul →
inferno	13–7	-0.03	14%	12 Jul →
ancient	16–14	0.04	15%	12 Jul →
mirage	6–13	-0.02	10%	12 Jul →
overpass	13–7	0.01	11%	12 Jul →
nuke	13–9	-0.08	9%	11 Jul →
dust2	13–5	-0.01	10%	11 Jul →
dust2	1–13	-0.04	33%	11 Jul →
anubis	13–9	-0.02	6%	11 Jul →
nuke	3–13	-0.04	14%	11 Jul →
office	5–13	-0.06	19%	11 Jul →
cache	13–8	0.01	10%	11 Jul →