[PN] ⸸ ErdNussFlipp ⸸ — CS2 Stats

DE76561198030097107[U:1:69831379]Steam profile ↗✓ No bans

1,980Tracked matches37%Win rate2020Tracked since

9,099Hours in CS26Hrs last 2 wks

CSDB Rating5.8 SolidPositional Player

Premier CS Rating12,764Blue band · top ~40.2% of ranked players (population est.)

CSDB Leaderboard#168205 of 259041 tracked

WingmanMaster Guardian Elite

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+846Premier CS Rating · 11,918 → 12,764

Rating over time

Premier CS Rating: 12,764 -2,885 19 Sept – 31 Oct · 30 days played

17,845Peak Premier in tracked matches

31Days played since 2026-09-19

Premier CS Rating

4,483 below peak (17,247)
-4,483 over 30 days · declining
Next: Purple band at 15,000 — 2,236 to go
Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Blue band median	Purple band median	vs Purple band
Headshot rate	46.4%	42.0%	44.4%	above
Shot accuracy	16.2%	9.6%	11.9%	above
Kill/death ratio	1.00	0.98	1.03	0.03 short
Match win rate	41.4%	43.8%	45.2%	3.8% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim79

Positioning63

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY39–60–1Last 10039%Win rateWLWLWWLLWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −1.9pp headshot accuracy · −48ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 18%
Avg reaction 564ms

Last 10

5–5 · 50% win rate
Avg rating 0.00
Avg headshot accuracy 20%
Avg reaction 552ms

Last 20

9–11 · 45% win rate
Avg rating -0.01
Avg headshot accuracy 21%
Avg reaction 577ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.4 against its own average).

Aim7.9

Utility5.4

Positioning6.3

Opening Duels3.9

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like Twistzz 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 581ms 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

Aim7.9

Positioning6.3

Utility5.4

Mechanics6.5

Opening Duels6.8

Win Impact0.6

Composite 5.8/10 (Solid), 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-0.01−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time575ms+8ms

first ⅓ avg 567ms → last ⅓ avg 575ms

Headshot accuracy21.9%+0.6%

first ⅓ avg 21.2% → last ⅓ avg 21.9%

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.

Personal bests

0.12Best match rating · 13–0 · inferno, 26 Sept →

45%Best headshot accuracy · 13–5 · inferno, 18 Oct →

391msFastest reaction time · 8–13 · inferno, 3 Oct →

13–0Biggest win · inferno, 26 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak

8–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

dust2Best map · 48% over 29mirageWeakest map · 9% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	14–15	48%	-0.00
inferno	B	23	11–12	48%	-0.01
nuke	C	14	6–8	43%	-0.01
mirage	D	11	1–10	9%	-0.04
ancient	C	10	4–6	40%	-0.02
anubis	D	9	3–6	33%	-0.01
cache	—	4	0–4	0%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (9% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

197,265Lifetime kills

1.00K/D · Top 50% of Blue band

8,961Matches

41.4%Match win rate

46.4%Headshot % · Top 50% of Blue band

16.2%Shot accuracy · Top 25% of Blue band

20,466MVPs

4,521Hours (in match)

7,194Bombs planted

2,474Bombs defused

Most-used weapons

AK-4752,979

AWP30,961

M4A4 / M4A1-S30,010

Desert Eagle27,127

P2000 / USP-S7,290

P2505,959

Glock-185,543

Five-SeveN5,064

Tec-93,882

P903,778

Lifetime map wins

37,581dust2

20,932inferno

8,479nuke

1,208train

1,073vertigo

649cbble

411office

69lake

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

Faceit stats

Combat

581Matches

49%Win rate

1.06Avg K/D

71.1ADR

46%Headshot %

Clutches & streaks

19%1v1 clutch win

36%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	10	50%	1.00	15.3
Anubis	3	67%	0.72	11.0
Nuke	2	50%	0.80	10.5
Inferno	2	0%	0.56	10.0
Vertigo	1	0%	0.79	19.0
Mirage	1	100%	1.45	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.

21.2%Headshot accuracy

34.8%Accuracy (enemy spotted)

39.4%Spray accuracy

79.2%Counter-strafing

8.5°Preaim

581msReaction time

62.4%T opening success

51.9%CT opening success

0.43Enemies flashed / flash

3.4%Flash assists

8.71HE damage / grenade

10.49Flashes / 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 0.4314 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–9	0.05	7%	31 Oct →
mirage	12–16	-0.04	16%	31 Oct →
dust2	13–10	0.05	28%	31 Oct →
mirage	6–13	-0.05	25%	30 Oct →
nuke	13–9	-0.04	15%	30 Oct →
nuke	13–6	-0.01	29%	30 Oct →
cache	10–13	-0.00	18%	29 Oct →
cache	8–13	0.03	20%	29 Oct →
inferno	13–1	0.05	13%	29 Oct →
ancient	9–13	0.00	30%	29 Oct →
dust2	6–13	-0.03	19%	28 Oct →
nuke	7–13	-0.02	23%	28 Oct →
dust2	13–8	0.01	23%	25 Oct →
ancient	10–13	0.01	16%	25 Oct →
nuke	8–13	-0.01	20%	25 Oct →
dust2	6–13	-0.02	32%	25 Oct →
nuke	13–4	0.02	30%	24 Oct →
nuke	10–13	-0.01	20%	22 Oct →
ancient	13–11	-0.08	9%	20 Oct →
mirage	13–10	-0.02	26%	20 Oct →
dust2	7–13	-0.02	23%	19 Oct →
ancient	13–11	-0.07	8%	19 Oct →
inferno	13–5	-0.09	45%	18 Oct →
inferno	1–13	-0.06	14%	18 Oct →
ancient	5–13	-0.01	22%	18 Oct →
mirage	11–13	-0.04	15%	18 Oct →
mirage	10–13	-0.00	24%	17 Oct →
anubis	11–13	0.04	22%	17 Oct →
inferno	4–13	-0.06	19%	17 Oct →
nuke	4–13	-0.00	35%	17 Oct →
anubis	11–13	-0.01	28%	17 Oct →
ancient	5–13	-0.03	16%	15 Oct →
dust2	13–8	0.02	30%	15 Oct →
inferno	16–13	-0.04	17%	14 Oct →
dust2	9–13	-0.02	30%	12 Oct →
inferno	3–13	-0.06	27%	12 Oct →
anubis	13–11	0.03	21%	11 Oct →
mirage	5–13	-0.05	25%	11 Oct →
mirage	10–13	-0.06	19%	10 Oct →
mirage	7–13	-0.03	9%	10 Oct →
mirage	2–13	-0.10	17%	10 Oct →
dust2	3–13	-0.05	40%	10 Oct →
nuke	6–13	0.02	31%	10 Oct →
inferno	13–10	-0.03	8%	10 Oct →
inferno	10–13	0.02	15%	10 Oct →
inferno	14–16	0.02	19%	10 Oct →
inferno	15–15	-0.02	22%	10 Oct →
dust2	5–13	-0.09	19%	9 Oct →
dust2	13–9	0.02	20%	9 Oct →
nuke	13–5	0.01	18%	9 Oct →
nuke	13–7	0.03	20%	8 Oct →
dust2	14–16	0.02	34%	7 Oct →
nuke	8–13	-0.02	30%	6 Oct →
ancient	5–13	-0.14	10%	6 Oct →
dust2	6–13	-0.04	27%	4 Oct →
ancient	13–5	0.05	10%	4 Oct →
inferno	11–13	0.01	19%	4 Oct →
dust2	2–13	-0.03	31%	3 Oct →
ancient	13–2	0.04	10%	3 Oct →
dust2	7–13	-0.02	15%	3 Oct →
anubis	4–13	-0.02	8%	3 Oct →
nuke	13–10	-0.01	22%	3 Oct →
mirage	6–13	-0.05	20%	3 Oct →
anubis	4–13	-0.00	12%	3 Oct →
anubis	0–9	-0.08	43%	3 Oct →
inferno	3–13	-0.08	31%	3 Oct →
dust2	13–4	0.05	26%	3 Oct →
inferno	8–13	-0.04	19%	3 Oct →
dust2	16–12	-0.08	8%	3 Oct →
inferno	13–8	-0.03	26%	30 Sept →
dust2	16–12	-0.02	17%	30 Sept →
nuke	10–13	-0.03	44%	30 Sept →
inferno	13–2	0.08	24%	30 Sept →
anubis	13–11	-0.04	26%	28 Sept →
inferno	5–13	-0.00	32%	28 Sept →
anubis	7–13	0.02	20%	27 Sept →
mirage	10–13	0.01	14%	26 Sept →
dust2	13–1	0.10	41%	26 Sept →
inferno	13–0	0.12	14%	26 Sept →
dust2	6–13	-0.03	13%	26 Sept →
inferno	13–11	-0.01	14%	25 Sept →
ancient	5–13	0.03	15%	25 Sept →
inferno	13–3	0.05	17%	25 Sept →
inferno	10–13	-0.01	11%	25 Sept →
inferno	13–9	-0.04	20%	25 Sept →
anubis	13–2	0.00	8%	23 Sept →
dust2	0–13	-0.11	12%	23 Sept →
dust2	13–10	0.03	25%	23 Sept →
inferno	10–13	-0.07	33%	22 Sept →
dust2	7–13	-0.01	20%	20 Sept →
dust2	13–10	-0.00	23%	20 Sept →
dust2	16–14	-0.01	14%	20 Sept →
dust2	2–13	-0.03	13%	20 Sept →
cache	11–13	0.04	27%	19 Sept →
dust2	13–7	0.05	38%	19 Sept →
dust2	10–13	0.11	32%	19 Sept →
dust2	13–11	0.03	24%	19 Sept →
nuke	10–13	-0.02	22%	19 Sept →
cache	2–13	0.01	24%	19 Sept →
dust2	13–11	0.02	12%	19 Sept →