Zimtschnecke — CS2 Stats

76561198067696054[U:1:107430326]

762Tracked matches50%Win rate2020Tracked since

1,800Hours in CS

CSDB Rating3.4 Learning

Ladder ranks via Leetify

Performance scores

Aim35

Positioning52

Utility26

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLWLWWLLWLW

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

Player DNA

Aim3.5

Aggression3.1

Utility2.6

Positioning5.2

Opening Duels1.2

Clutch2.6

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, positioning profile.

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 50% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.5

Positioning5.2

Utility2.6

Mechanics3.8

Opening Duels2.5

Win Impact5.0

Composite 3.4/10 (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-0.02+0.02

first ⅓ avg -0.04 → last ⅓ avg -0.02

Reaction time636ms+12ms

first ⅓ avg 625ms → last ⅓ avg 636ms

Headshot accuracy12.1%+3.8%

first ⅓ avg 8.3% → last ⅓ avg 12.1%

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

0.09Best rating — cache 13–7

13–1Biggest win — anubis

4Longest win streak

9–11In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 69% over 13cacheWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	27	13–14	48%	-0.02
inferno	B	22	11–11	50%	-0.04
anubis	S	13	9–4	69%	-0.01
overpass	A	9	5–4	56%	-0.02
nuke	B	8	4–4	50%	-0.05
dust2	B	8	4–4	50%	-0.05
cache	C	5	2–3	40%	0.03
poseidon	—	2	1–1	50%	-0.11
mirage	—	2	2–0	100%	-0.03
office	—	1	0–1	0%	-0.05
vertigo	—	1	1–0	100%	0.03
train	—	1	0–1	0%	-0.02
brewery	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Lifetime stats

78,745Lifetime kills

0.91K/D

4,682Matches

45.4%Match win rate

41.4%Headshot %

16.6%Shot accuracy · Top 25% of tracked players

9,729MVPs

1,800Hours (in match)

5,211Bombs planted

910Bombs defused

Most-used weapons

AK-4725,470

M4A4 / M4A1-S13,644

P907,365

FAMAS3,738

P2000 / USP-S3,498

Glock-183,409

AWP3,191

P2502,547

Galil AR2,198

Five-SeveN1,965

Lifetime map wins

11,491inferno

7,558dust2

2,357nuke

1,464train

944cbble

558vertigo

548office

306lake

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

Faceit stats

Combat

775Matches

51%Win rate

0.82Avg K/D

64.2ADR

32%Headshot %

Clutches & streaks

33%1v1 clutch win

15%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	96	54%	0.81	12.6
Inferno	81	63%	0.88	13.1
Dust2	52	54%	0.81	12.7
Anubis	47	47%	0.79	12.4
Overpass	32	41%	0.71	11.8
Nuke	29	45%	0.79	12.5
Train	5	0%	0.56	10.2
Mirage	3	67%	0.71	10.0

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.

12.2%Headshot accuracy

31.0%Accuracy (enemy spotted)

33.4%Spray accuracy

67.1%Counter-strafing

11.3°Preaim

626msReaction time

19.3%T opening success

50.2%CT opening success

0.32Enemies flashed / flash

6.4%Flash assists

7.45HE damage / grenade

2.08Flashes / 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 12.1604% — 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 0.3201 — 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 19.2983% — below the 40% mark we flag

Spend your practice time on Cache

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	11–13	-0.01	15%	11 Aug →
ancient	13–7	-0.02	11%	10 Aug →
cache	6–13	0.06	15%	19 Jul →
cache	13–7	0.09	16%	14 Jul →
cache	13–4	0.02	15%	12 Jun →
inferno	3–9	-0.07	13%	12 Jun →
poseidon	4–9	-0.12	17%	12 Jun →
ancient	13–8	0.02	11%	5 Jun →
ancient	11–13	-0.01	11%	5 Jun →
anubis	13–1	-0.00	10%	5 Jun →
ancient	13–7	-0.01	17%	5 Jun →
inferno	16–12	-0.02	7%	28 May →
ancient	19–15	-0.04	15%	28 May →
office	8–13	-0.05	10%	1 May →
inferno	7–9	0.04	9%	1 May →
poseidon	9–5	-0.09	13%	1 May →
cache	9–13	-0.01	18%	30 Apr →
ancient	13–7	0.02	12%	30 Apr →
nuke	13–6	-0.01	10%	2 Jan →
overpass	7–13	-0.06	6%	2 Jan →
inferno	13–16	-0.10	0%	28 Dec →
nuke	7–13	-0.04	2%	21 Dec →
ancient	13–11	-0.01	4%	18 Dec →
ancient	13–8	0.03	7%	10 Dec →
nuke	7–9	-0.04	10%	9 Dec →
ancient	14–16	-0.02	25%	7 Dec →
vertigo	13–11	0.03	21%	6 Dec →
overpass	13–10	-0.03	14%	5 Dec →
ancient	8–13	-0.02	16%	10 Nov →
overpass	8–13	-0.08	2%	10 Nov →
ancient	10–13	0.02	20%	7 Nov →
inferno	8–8	-0.07	7%	18 Sept →
inferno	6–13	-0.07	21%	15 Sept →
inferno	13–6	-0.03	15%	9 Sept →
ancient	0–13	-0.09	20%	5 Sept →
overpass	16–19	-0.05	5%	1 Sept →
overpass	13–9	0.06	3%	28 Aug →
ancient	3–13	-0.05	13%	23 Aug →
overpass	13–8	-0.01	7%	5 Aug →
train	8–13	-0.02	10%	31 Jul →
dust2	9–13	-0.06	7%	24 Jul →
ancient	13–9	0.05	7%	23 Jul →
inferno	13–7	-0.01	12%	22 Jul →
inferno	8–8	-0.13	3%	14 Jul →
inferno	11–13	-0.04	11%	8 Jul →
mirage	13–9	-0.03	15%	28 Jun →
brewery	8–8	0.00	5%	28 May →
ancient	3–13	-0.04	11%	3 Jan →
nuke	7–13	-0.10	13%	19 Dec →
ancient	2–13	-0.05	18%	14 Dec →
inferno	13–7	-0.06	23%	2 Dec →
anubis	13–10	-0.01	12%	24 Nov →
dust2	13–7	-0.01	19%	11 Nov →
dust2	3–13	-0.13	8%	9 Nov →
ancient	13–9	-0.01	8%	4 Nov →
anubis	13–6	0.08	16%	4 Nov →
dust2	14–16	-0.06	13%	3 Nov →
anubis	19–16	0.01	9%	28 Oct →
ancient	13–11	-0.01	10%	19 Oct →
inferno	13–16	-0.06	11%	22 Sept →
ancient	13–4	-0.03	8%	22 Sept →
inferno	13–16	-0.05	9%	8 Sept →
dust2	13–5	0.02	16%	7 Sept →
ancient	11–13	-0.07	14%	7 Sept →
ancient	16–14	-0.02	18%	7 Sept →
nuke	13–10	-0.05	20%	7 Sept →
ancient	9–13	-0.01	10%	7 Sept →
inferno	0–13	-0.07	0%	7 Sept →
anubis	13–11	-0.06	7%	6 Sept →
inferno	13–10	-0.10	5%	30 Aug →
dust2	13–10	-0.07	13%	30 Aug →
anubis	5–13	-0.06	14%	30 Aug →
dust2	13–8	-0.00	3%	9 Aug →
dust2	8–13	-0.05	12%	3 Jul →
inferno	13–11	-0.01	6%	19 Jun →
ancient	13–10	0.01	5%	19 Jun →
anubis	9–13	-0.02	19%	19 Jun →
nuke	13–11	0.00	11%	16 Jun →
ancient	5–13	0.02	8%	16 Jun →
nuke	13–10	-0.08	12%	11 Jun →
inferno	13–8	0.02	3%	9 Mar →
inferno	13–4	-0.01	6%	9 Mar →
ancient	11–13	-0.05	7%	6 Mar →
anubis	13–9	-0.05	9%	5 Mar →
overpass	13–7	0.01	10%	4 Mar →
inferno	13–8	-0.01	8%	28 Feb →
anubis	13–8	0.01	7%	28 Feb →
inferno	10–13	-0.01	6%	27 Feb →
anubis	7–13	-0.05	2%	25 Feb →
anubis	13–11	-0.05	13%	25 Feb →
nuke	11–13	-0.06	9%	18 Feb →
ancient	5–13	-0.12	8%	10 Feb →
mirage	13–6	-0.04	14%	8 Feb →
anubis	13–3	0.05	10%	8 Feb →
ancient	8–13	-0.10	12%	8 Feb →
overpass	13–8	-0.02	7%	6 Feb →
inferno	13–11	-0.06	5%	4 Feb →
overpass	9–13	-0.03	8%	1 Feb →
inferno	13–9	-0.06	5%	29 Jan →
anubis	11–13	-0.03	7%	29 Jan →