Borkenkaefer — CS2 Stats

76561197973503566[U:1:13237838]Steam profile ↗community banned

2,215Tracked matches59%Win rate2020Tracked since

CSDB Rating3.3 Learning

Premier CS Rating8,440Light Blue band · top ~62.4% of ranked players (population est.)

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim43

Positioning41

Utility22

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateWTWWWTLLWW

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

Player DNA

Aim4.3

Aggression3.4

Utility2.2

Positioning4.1

Opening Duels0.1

Clutch0.0

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 68% playstyle similarity

Most alike: opening-fight frequency, 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

Reaction time. 605ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim4.3

Positioning4.1

Utility2.2

Mechanics2.3

Opening Duels0.6

Win Impact8.1

Composite 3.3/10 (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-0.03+0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time610ms−117ms

first ⅓ avg 727ms → last ⅓ avg 610ms

Headshot accuracy17.4%+2.9%

first ⅓ avg 14.5% → last ⅓ avg 17.4%

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 — office 13–11

13–0Biggest win — anubis

4Longest win streak

10–1In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 67% over 12dust2Weakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
office	C	31	12–19	39%	-0.03
inferno	C	13	5–8	38%	-0.03
anubis	A	12	7–5	58%	-0.03
nuke	S	12	8–4	67%	-0.02
dust2	D	9	3–6	33%	-0.04
cache	C	8	3–5	38%	-0.05
ancient	A	5	3–2	60%	-0.02
shelter	—	2	1–1	50%	-0.08
mirage	—	2	1–1	50%	-0.01
vertigo	—	2	1–1	50%	-0.00
boulder	—	2	1–1	50%	-0.04
italy	—	1	0–1	0%	-0.03
fachwerk	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

15Matches

53%Win rate

0.63Avg K/D

67.0ADR

36%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	4	75%	0.61	8.5
Dust2	3	33%	0.51	6.7
Vertigo	1	100%	0.75	9.0
Ancient	1	100%	0.54	7.0
Train	1	0%	0.53	10.0
Nuke	1	100%	0.94	16.0

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.

17.2%Headshot accuracy

32.7%Accuracy (enemy spotted)

31.3%Spray accuracy

60.4%Counter-strafing

10.1°Preaim

605msReaction time

34.5%T opening success

26.6%CT opening success

0.18Enemies flashed / flash

0.0%Flash assists

12.14HE damage / grenade

0.39Flashes / 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.

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 0.1751 — 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 34.5377% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	13–11	-0.02	7%	30 Aug →
office	12–12	-0.04	17%	30 Aug →
anubis	13–11	-0.02	5%	23 Aug →
inferno	13–7	0.06	16%	23 Aug →
shelter	13–3	-0.09	50%	23 Aug →
italy	12–12	-0.03	16%	23 Aug →
ancient	4–13	-0.03	0%	23 Aug →
anubis	6–13	-0.03	16%	23 Aug →
anubis	13–0	0.00	0%	23 Aug →
inferno	13–6	0.04	0%	23 Aug →
dust2	13–7	-0.06	17%	23 Aug →
anubis	3–13	-0.06	27%	22 Aug →
nuke	13–7	-0.05	33%	22 Aug →
mirage	2–13	-0.02	25%	21 Aug →
inferno	13–9	-0.07	12%	16 Aug →
inferno	13–8	-0.02	20%	16 Aug →
anubis	13–8	-0.01	16%	16 Aug →
nuke	15–15	0.05	18%	16 Aug →
inferno	6–13	-0.04	5%	15 Aug →
fachwerk	4–13	-0.08	38%	15 Aug →
office	8–13	-0.03	29%	15 Aug →
office	10–13	-0.06	17%	15 Aug →
office	13–8	-0.07	23%	15 Aug →
office	6–13	-0.07	0%	15 Aug →
office	13–5	-0.04	30%	14 Aug →
office	6–13	-0.08	0%	14 Aug →
office	13–11	0.09	18%	14 Aug →
office	13–8	0.01	43%	14 Aug →
office	13–6	-0.01	14%	13 Aug →
office	11–13	-0.04	13%	9 Aug →
office	8–13	-0.04	33%	9 Aug →
office	9–13	-0.04	9%	9 Aug →
office	8–13	-0.01	10%	9 Aug →
office	13–6	0.03	56%	9 Aug →
dust2	7–13	-0.02	10%	9 Aug →
nuke	13–7	-0.03	33%	9 Aug →
cache	10–13	-0.03	40%	9 Aug →
dust2	8–13	-0.03	6%	9 Aug →
dust2	12–16	-0.06	9%	8 Aug →
nuke	16–14	0.06	20%	8 Aug →
office	8–13	-0.05	17%	4 Aug →
inferno	5–13	-0.06	14%	2 Aug →
nuke	13–6	-0.09	0%	2 Aug →
dust2	7–13	0.00	7%	2 Aug →
inferno	8–13	-0.07	13%	2 Aug →
nuke	13–11	0.01	20%	2 Aug →
anubis	13–5	-0.05	40%	2 Aug →
anubis	13–3	-0.00	22%	2 Aug →
vertigo	13–9	0.01	19%	2 Aug →
boulder	9–13	-0.09	19%	2 Aug →
shelter	3–13	-0.06	0%	1 Aug →
boulder	13–6	0.01	0%	1 Aug →
vertigo	12–12	-0.01	8%	30 Jul →
dust2	3–13	-0.07	21%	30 Jul →
inferno	3–13	-0.05	18%	30 Jul →
office	12–12	-0.01	25%	29 Jul →
office	3–13	-0.05	0%	28 Jul →
office	13–5	0.03	19%	28 Jul →
office	1–13	-0.07	8%	28 Jul →
office	4–13	-0.12	0%	28 Jul →
office	5–5	-0.01	50%	28 Jul →
office	3–13	0.03	14%	27 Jul →
office	13–8	-0.02	14%	27 Jul →
office	10–13	-0.07	50%	27 Jul →
mirage	16–14	-0.01	12%	26 Jul →
ancient	7–13	-0.07	0%	26 Jul →
ancient	13–6	-0.02	8%	26 Jul →
nuke	2–13	-0.05	0%	26 Jul →
anubis	13–8	-0.03	25%	26 Jul →
cache	10–13	-0.07	16%	26 Jul →
inferno	5–13	-0.02	11%	26 Jul →
nuke	10–13	-0.10	17%	26 Jul →
inferno	3–13	-0.06	33%	26 Jul →
dust2	13–10	-0.05	27%	26 Jul →
cache	9–13	-0.08	15%	26 Jul →
anubis	9–13	-0.06	12%	26 Jul →
inferno	2–13	-0.06	30%	26 Jul →
office	5–13	-0.04	0%	24 Jul →
office	5–13	-0.03	14%	24 Jul →
office	13–6	-0.03	17%	23 Jul →
office	13–8	-0.07	67%	22 Jul →
inferno	9–13	0.02	15%	22 Jul →
nuke	5–13	-0.01	7%	21 Jul →
nuke	13–9	-0.02	12%	21 Jul →
anubis	7–13	-0.01	6%	21 Jul →
anubis	3–13	-0.06	0%	21 Jul →
dust2	13–11	-0.03	11%	21 Jul →
office	5–13	-0.02	4%	21 Jul →
nuke	13–5	-0.02	8%	21 Jul →
ancient	13–4	0.01	6%	19 Jul →
dust2	8–13	-0.04	23%	19 Jul →
ancient	16–13	0.02	8%	19 Jul →
cache	13–8	-0.01	8%	19 Jul →
inferno	13–7	0.00	16%	19 Jul →
cache	0–9	-0.15	0%	17 Jul →
nuke	16–14	0.01	21%	14 Jul →
cache	13–9	-0.04	9%	13 Jul →
cache	4–13	0.03	12%	12 Jul →
anubis	13–2	0.03	10%	12 Jul →
cache	13–11	0.00	21%	12 Jul →