Kastenbrot — CS2 Stats

76561198071033765[U:1:110768037]Steam profile ↗✓ No bans

279Tracked matches50%Win rate2023Tracked since

CSDB Rating4.5 Developing

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim34

Positioning45

Utility75

0–100 skill scores via Leetify.

Recent form

STEADY53–41–6Last 10053%Win rateLLLWWLWWTL

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

Player DNA

Aim3.4

Aggression5.5

Utility7.5

Positioning4.5

Opening Duels0.9

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 81% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Strengths

Utility. Utility score of 75 — grenade impact well above the norm.

Areas to improve

Reaction time. 687ms 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

Aim3.4

Positioning4.5

Utility7.5

Mechanics5.4

Opening Duels1.0

Win Impact5.0

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time704ms+35ms

first ⅓ avg 670ms → last ⅓ avg 704ms

Headshot accuracy14.1%+0.7%

first ⅓ avg 13.4% → last ⅓ avg 14.1%

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

0.15Best rating — ancient 13–11

13–1Biggest win — anubis

9Longest win streak

L3Current streak

7–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 70% over 10anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	27	17–10	63%	0.01
dust2	C	16	7–9	44%	0.01
ancient	A	14	8–6	57%	0.02
vertigo	C	13	5–8	38%	-0.00
nuke	S	10	7–3	70%	0.00
anubis	D	8	2–6	25%	-0.04
mirage	S	6	4–2	67%	0.00
palais	—	2	0–2	0%	-0.07
train	—	1	1–0	100%	0.01
office	—	1	0–1	0%	-0.02
overpass	—	1	1–0	100%	-0.07
thera	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches

33%Win rate

2.25Avg K/D

—ADR

38%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLLWLL

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.

13.0%Headshot accuracy

31.3%Accuracy (enemy spotted)

34.3%Spray accuracy

74.2%Counter-strafing

12.4°Preaim

687msReaction time

37.8%T opening success

29.6%CT opening success

0.59Enemies flashed / flash

12.6%Flash assists

12.61HE damage / grenade

3.22Flashes / 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 12.3663° — 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 13.0004% — 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 3.2246 — below the 4 mark we flag
Grenade Lineups →

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.

25% win rate across 8 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
dust2	8–13	-0.03	19%	25 Mar →
nuke	9–13	0.02	20%	18 Mar →
anubis	2–13	-0.07	6%	14 Mar →
anubis	13–1	0.06	20%	14 Mar →
dust2	13–9	-0.03	18%	14 Mar →
dust2	6–13	-0.03	13%	14 Mar →
ancient	13–2	0.00	14%	13 Mar →
mirage	13–9	-0.08	18%	13 Mar →
inferno	12–12	-0.03	5%	13 Mar →
anubis	7–13	-0.04	13%	13 Mar →
palais	1–9	-0.17	33%	13 Mar →
inferno	13–6	0.06	13%	13 Mar →
dust2	8–13	0.02	9%	13 Mar →
palais	7–9	0.02	31%	13 Mar →
mirage	13–2	0.05	19%	11 Mar →
inferno	13–9	0.02	14%	11 Mar →
inferno	1–13	-0.04	16%	11 Mar →
nuke	13–6	-0.03	18%	10 Mar →
dust2	9–13	-0.02	13%	10 Mar →
train	16–12	0.01	12%	8 Mar →
ancient	13–11	0.15	12%	8 Oct →
inferno	6–13	-0.00	14%	8 Oct →
dust2	8–13	0.03	7%	8 Oct →
ancient	6–13	0.01	10%	2 Oct →
nuke	13–5	-0.02	8%	2 Oct →
nuke	15–15	0.04	13%	17 Sept →
vertigo	9–13	-0.06	8%	17 Sept →
dust2	14–16	0.01	19%	17 Sept →
inferno	13–11	-0.03	7%	17 Sept →
dust2	13–3	0.07	8%	17 Sept →
nuke	13–8	-0.04	15%	17 Sept →
vertigo	8–13	-0.04	8%	17 Sept →
nuke	3–13	-0.08	11%	16 Sept →
ancient	13–8	0.10	10%	16 Sept →
anubis	8–13	-0.04	5%	14 Sept →
mirage	13–4	0.04	12%	14 Sept →
nuke	13–6	0.12	19%	14 Sept →
ancient	13–9	-0.03	13%	14 Sept →
inferno	13–7	0.00	15%	14 Sept →
inferno	13–9	0.06	11%	13 Sept →
inferno	15–15	-0.01	14%	12 Sept →
vertigo	4–13	-0.04	15%	12 Sept →
inferno	10–13	-0.05	19%	11 Sept →
ancient	16–14	0.02	15%	11 Sept →
dust2	8–13	0.01	29%	11 Sept →
ancient	13–10	0.00	7%	11 Sept →
anubis	13–11	-0.05	11%	11 Sept →
inferno	2–13	-0.07	18%	9 Sept →
dust2	13–11	0.07	17%	9 Sept →
ancient	13–11	0.07	22%	9 Sept →
vertigo	8–13	-0.02	28%	8 Sept →
vertigo	11–13	0.03	15%	6 Sept →
dust2	13–9	0.01	12%	6 Sept →
office	7–13	-0.02	14%	6 Sept →
dust2	13–9	0.03	16%	6 Sept →
nuke	13–11	0.02	21%	5 Sept →
inferno	9–13	-0.09	7%	5 Sept →
vertigo	13–2	0.03	8%	5 Sept →
vertigo	16–13	-0.01	20%	5 Sept →
vertigo	9–13	-0.04	19%	3 Sept →
vertigo	13–3	0.04	2%	3 Sept →
ancient	15–15	-0.06	9%	3 Sept →
ancient	5–13	0.02	18%	3 Sept →
nuke	13–9	-0.01	17%	31 Aug →
vertigo	11–13	0.00	9%	31 Aug →
mirage	5–13	-0.09	6%	31 Aug →
inferno	13–10	0.06	11%	31 Aug →
vertigo	13–16	0.03	12%	29 Aug →
inferno	13–3	0.09	18%	29 Aug →
ancient	2–13	-0.09	2%	29 Aug →
inferno	8–13	-0.07	9%	29 Aug →
anubis	9–13	-0.03	14%	27 Aug →
anubis	1–13	-0.07	7%	27 Aug →
ancient	4–13	-0.03	14%	27 Aug →
nuke	13–8	-0.02	12%	25 Aug →
inferno	13–10	0.01	17%	20 Aug →
inferno	13–3	0.04	17%	20 Aug →
dust2	13–10	-0.01	15%	19 Aug →
inferno	13–6	0.02	15%	19 Aug →
overpass	13–6	-0.07	9%	19 Aug →
mirage	13–10	0.06	11%	19 Aug →
thera	13–7	0.00	15%	19 Aug →
inferno	13–2	0.08	7%	19 Aug →
dust2	12–12	-0.02	13%	16 Aug →
vertigo	13–9	0.08	14%	16 Aug →
inferno	13–9	0.02	9%	16 Aug →
inferno	7–13	-0.01	20%	16 Aug →
vertigo	13–10	-0.00	7%	14 Aug →
inferno	13–4	0.07	11%	14 Aug →
mirage	8–13	0.02	10%	14 Aug →
inferno	13–5	0.03	13%	14 Aug →
inferno	7–9	0.08	12%	14 Aug →
inferno	13–7	-0.03	20%	14 Aug →
dust2	13–8	-0.01	28%	13 Aug →
ancient	11–13	0.02	17%	13 Aug →
dust2	11–13	0.04	11%	13 Aug →
ancient	13–5	0.06	13%	13 Aug →
inferno	13–4	0.00	20%	12 Aug →
inferno	13–9	0.00	17%	12 Aug →
anubis	15–15	-0.05	15%	6 Aug →