Bergmeister — CS2 Stats

DK76561198212367243[U:1:252101515]Steam profile ↗✓ No bans

528Tracked matches43%Win rate2020Tracked since

784Hours in CS

CSDB Rating3.2 Learning

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim42

Positioning24

Utility37

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateLWLLLLLLWW

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim4.2

Aggression0.4

Utility3.7

Positioning2.4

Opening Duels0.0

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 64% 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

Areas to improve

Reaction time. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.2

Positioning2.4

Utility3.7

Mechanics3.9

Opening Duels0.0

Win Impact2.8

Composite 3.2/10 (Learning), 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-0.05−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.05

Reaction time587ms+19ms

first ⅓ avg 568ms → last ⅓ avg 587ms

Headshot accuracy16.0%+3.7%

first ⅓ avg 12.4% → last ⅓ avg 16.0%

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

0.19Best rating — train 13–9

13–1Biggest win — overpass

5Longest win streak

4–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

overpassBest map · 73% over 15anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	21	8–13	38%	-0.02
ancient	C	16	6–10	38%	-0.04
overpass	S	15	11–4	73%	-0.01
mirage	C	14	6–8	43%	-0.05
nuke	A	14	9–5	64%	0.00
train	B	8	4–4	50%	-0.01
anubis	D	6	2–4	33%	-0.05
dust2	—	3	0–3	0%	-0.04
cache	—	2	0–2	0%	-0.06
vertigo	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

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

Lifetime stats

33,391Lifetime kills

0.95K/D

2,030Matches

44.1%Match win rate

32.2%Headshot %

15.3%Shot accuracy · Top 50% of tracked players

4,789MVPs

784Hours (in match)

2,342Bombs planted

419Bombs defused

Most-used weapons

AK-477,377

AWP5,422

M4A4 / M4A1-S5,215

P901,468

P2000 / USP-S1,414

Glock-181,155

FAMAS914

SG 553875

Desert Eagle872

MP7783

Lifetime map wins

4,796inferno

2,420dust2

1,915nuke

876vertigo

571train

280lake

233bank

191safehouse

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

Faceit stats

Combat

44Matches

43%Win rate

0.79Avg K/D

62.1ADR

36%Headshot %

Clutches & streaks

13%1v1 clutch win

12%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	6	33%	0.85	13.0
Nuke	6	67%	0.79	12.5
Anubis	5	40%	1.15	14.4
Ancient	4	25%	0.59	11.0
Mirage	3	33%	0.78	10.0
Overpass	2	50%	0.46	7.0
Vertigo	1	0%	0.59	10.0
Dust2	1	100%	0.90	9.0

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.

15.0%Headshot accuracy

31.0%Accuracy (enemy spotted)

32.3%Spray accuracy

67.6%Counter-strafing

11.3°Preaim

583msReaction time

15.7%T opening success

23.1%CT opening success

0.48Enemies flashed / flash

0.4%Flash assists

9.57HE damage / grenade

3.48Flashes / 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 0.4775 — 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 15.7377% — below the 40% mark we flag

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.

33% 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
ancient	6–13	-0.07	17%	31 Jul →
ancient	13–9	-0.02	8%	31 Jul →
anubis	12–16	-0.02	20%	31 Jul →
ancient	14–16	-0.07	17%	26 Jul →
cache	13–16	-0.03	21%	16 Jul →
anubis	6–13	-0.02	19%	16 Jul →
mirage	7–13	-0.03	11%	16 Jul →
cache	8–13	-0.09	16%	13 Jul →
nuke	13–8	-0.00	17%	13 Jul →
nuke	13–4	-0.04	24%	13 Jul →
mirage	7–13	-0.07	5%	13 Jul →
inferno	13–9	-0.05	8%	13 Jul →
anubis	13–9	-0.07	3%	16 Jun →
ancient	13–9	-0.05	5%	16 Jun →
ancient	1–13	-0.03	10%	13 Jun →
nuke	13–10	-0.06	13%	13 May →
ancient	16–12	-0.03	13%	10 May →
dust2	11–13	-0.01	21%	10 May →
dust2	7–13	-0.08	14%	9 May →
inferno	10–13	-0.06	19%	9 May →
anubis	13–9	-0.07	15%	9 May →
mirage	2–13	-0.07	10%	9 May →
overpass	13–9	-0.07	15%	27 Apr →
mirage	3–13	-0.10	14%	27 Apr →
mirage	13–11	-0.04	15%	24 Apr →
inferno	13–8	-0.04	27%	23 Apr →
ancient	9–13	-0.04	19%	23 Apr →
mirage	5–13	-0.09	24%	23 Apr →
mirage	13–9	-0.06	14%	22 Apr →
ancient	9–13	-0.10	15%	19 Apr →
anubis	11–13	-0.06	19%	19 Apr →
inferno	11–13	0.06	34%	3 Apr →
nuke	5–1	0.09	30%	3 Apr →
overpass	16–13	-0.04	32%	2 Apr →
inferno	10–13	-0.05	21%	2 Apr →
inferno	8–13	-0.02	10%	2 Apr →
mirage	13–6	0.05	23%	2 Apr →
inferno	10–13	0.02	4%	2 Apr →
nuke	13–6	0.02	17%	2 Apr →
inferno	13–9	-0.04	10%	29 Mar →
overpass	13–9	0.09	12%	27 Mar →
vertigo	13–11	-0.02	13%	26 Mar →
mirage	2–13	-0.10	4%	25 Mar →
anubis	11–13	-0.06	9%	2 Jan →
train	13–9	0.19	13%	2 Jan →
inferno	9–13	-0.02	15%	11 Dec →
overpass	1–13	-0.06	12%	7 Dec →
inferno	10–13	0.06	10%	7 Dec →
overpass	8–1	0.12	22%	7 Dec →
inferno	11–13	-0.03	9%	5 Dec →
overpass	13–8	-0.04	12%	5 Dec →
inferno	14–16	-0.02	19%	16 Nov →
nuke	11–13	-0.01	14%	16 Nov →
mirage	3–13	-0.07	9%	16 Nov →
inferno	13–4	-0.01	10%	16 Nov →
ancient	2–13	-0.04	14%	16 Nov →
overpass	13–1	0.03	11%	11 Nov →
inferno	13–9	-0.02	16%	10 Nov →
train	7–13	-0.07	16%	10 Nov →
nuke	13–3	0.06	12%	10 Nov →
nuke	8–13	0.07	15%	6 Nov →
nuke	4–13	0.02	10%	6 Nov →
overpass	7–13	-0.02	7%	4 Nov →
nuke	7–13	-0.06	8%	4 Nov →
train	11–13	-0.08	7%	3 Nov →
ancient	13–9	-0.07	11%	3 Nov →
ancient	4–13	-0.01	5%	3 Nov →
nuke	7–13	-0.01	18%	3 Nov →
inferno	5–13	-0.03	14%	31 Oct →
ancient	13–9	-0.00	11%	31 Oct →
inferno	13–10	0.03	13%	31 Oct →
overpass	13–11	-0.01	17%	31 Oct →
ancient	3–13	-0.03	23%	21 Sept →
train	3–13	-0.00	17%	21 Sept →
nuke	13–9	-0.06	13%	20 Sept →
mirage	15–15	-0.07	8%	19 Sept →
overpass	7–13	-0.06	24%	19 Sept →
mirage	13–10	-0.04	16%	17 Sept →
inferno	5–13	-0.11	4%	17 Sept →
overpass	7–13	-0.06	16%	17 Sept →
mirage	13–6	0.07	19%	15 Sept →
inferno	15–15	-0.01	19%	15 Sept →
ancient	4–13	-0.02	11%	15 Sept →
train	13–5	-0.07	11%	15 Sept →
train	5–13	-0.11	6%	4 Sept →
ancient	13–9	-0.05	9%	19 Aug →
nuke	13–9	0.02	6%	19 Aug →
overpass	13–10	-0.02	9%	19 Aug →
train	13–4	0.05	10%	18 Aug →
ancient	8–13	-0.07	12%	18 Aug →
inferno	13–7	-0.02	11%	18 Aug →
inferno	8–13	-0.04	11%	22 Jul →
overpass	13–6	0.02	7%	22 Jul →
overpass	13–6	-0.01	15%	21 Jul →
mirage	13–5	-0.01	9%	21 Jul →
train	16–14	-0.04	8%	20 Jul →
inferno	13–10	-0.01	9%	20 Jul →
dust2	9–13	-0.02	8%	18 Jul →
overpass	13–6	-0.00	12%	18 Jul →
nuke	13–6	0.01	17%	18 Jul →