🗿⃤⃢🍷Olaf Holz — CS2 Stats

NL76561199748971838[U:1:1788706110]Steam profile ↗✓ No bans

2,213Tracked matches41%Win rate2024Tracked since

2,485Hours in CS12Hrs last 2 wks

CSDB Rating5.5 SolidPositional Player

Premier CS Rating14,464Blue band · top ~31.2% of ranked players (population est.)

CSDB Leaderboard#154078 of 259131 tracked

WingmanMaster Guardian II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,464 -545 9 Sept – 11 Oct · 9 days played

15,009Peak Premier in tracked matches

33Days played since 2026-09-08

Premier CS Rating

545 below peak (15,009)
-536 over 30 days · declining
Next: Purple band at 15,000 — 536 to go
Reached: Purple band · Blue band · Light Blue band
Blue band first seen 2026-09-20
Light Blue band first seen 2026-09-20

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	45.1%	42.0%	44.4%	meets
Shot accuracy	0.0%	9.6%	11.9%	11.9% short
Kill/death ratio	0.83	0.98	1.03	0.20 short
Match win rate	39.3%	43.8%	45.2%	5.9% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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

Aim75

Positioning62

Utility46

0–100 skill scores via Leetify.

Recent form

COLD42–50–8Last 10042%Win rateLLTLLLLLLL

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · −8.3pp headshot accuracy · −40ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

0–4–1 · 0% win rate
Avg rating -0.03
Avg headshot accuracy 15%
Avg reaction 597ms

Last 10

0–9–1 · 0% win rate
Avg rating -0.04
Avg headshot accuracy 14%
Avg reaction 578ms

Last 20

5–13–2 · 25% win rate
Avg rating -0.02
Avg headshot accuracy 18%
Avg reaction 598ms

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 against its own average).

Aim7.5

Utility4.6

Positioning6.2

Opening Duels2.1

Clutch4.0

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 iM 94% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 609ms 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

Aim7.5

Positioning6.2

Utility4.6

Mechanics7.1

Opening Duels3.8

Win Impact1.9

Composite 5.5/10 (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-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time609ms−1ms

first ⅓ avg 611ms → last ⅓ avg 609ms

Headshot accuracy17.6%−2.8%

first ⅓ avg 20.4% → last ⅓ avg 17.6%

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 · 13–6 · mirage, 18 Oct →

50%Best headshot accuracy · 13–0 · vertigo, 10 Sept →

406msFastest reaction time · 13–6 · anubis, 16 Sept →

13–0Biggest win · vertigo, 10 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak

L2Current streak

8–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 75% over 8vertigoWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	22	8–14	36%	0.00
inferno	D	12	4–8	33%	-0.03
cache	A	12	7–5	58%	-0.01
anubis	C	12	5–7	42%	0.01
mirage	S	8	6–2	75%	0.02
vertigo	D	8	2–6	25%	-0.00
office	C	5	2–3	40%	-0.01
italy	—	4	3–1	75%	0.03
boulder	—	3	1–2	33%	-0.05
train	—	3	0–3	0%	-0.02
ancient	—	3	1–2	33%	-0.02
fachwerk	—	3	1–2	33%	-0.03
overpass	—	2	0–2	0%	-0.00
shelter	—	2	1–1	50%	-0.00
nuke	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

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

Lifetime stats

51,153Lifetime kills

0.83K/D

3,516Matches

39.3%Match win rate

45.1%Headshot % · Top 50% of Blue band

0.0%Shot accuracy

6,611MVPs

1,259Hours (in match)

3,067Bombs planted

523Bombs defused

Most-used weapons

AK-4714,752

M4A4 / M4A1-S8,379

AWP6,541

Desert Eagle2,724

P2000 / USP-S2,213

MAC-101,887

MP91,749

Glock-181,517

Galil AR1,186

MP71,007

Lifetime map wins

4,397dust2

4,059inferno

1,866vertigo

1,513office

1,498nuke

1,244train

729italy

43lake

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

Faceit stats

Combat

25Matches

48%Win rate

0.88Avg K/D

69.0ADR

41%Headshot %

Clutches & streaks

40%1v1 clutch win

12%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	7	71%	0.95	17.3
Inferno	7	57%	0.92	16.0
Mirage	5	20%	0.94	11.6
Dust2	3	33%	0.60	10.3
Anubis	1	0%	0.33	7.0
Nuke	1	100%	1.21	17.0
Vertigo	1	0%	0.93	26.0

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.

17.5%Headshot accuracy

35.5%Accuracy (enemy spotted)

36.6%Spray accuracy

82.2%Counter-strafing

7.7°Preaim

609msReaction time

50.9%T opening success

39.1%CT opening success

0.49Enemies flashed / flash

4.7%Flash assists

5.06HE damage / grenade

13.03Flashes / 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 0.4901 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.117% — below the 40% mark we flag

Spend your practice time on Vertigo

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.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	8–13	-0.05	11%	29 Oct →
office	6–13	-0.05	14%	29 Oct →
inferno	12–12	0.08	12%	27 Oct →
inferno	2–9	-0.09	25%	26 Oct →
vertigo	7–13	-0.02	10%	25 Oct →
boulder	7–13	-0.09	13%	24 Oct →
cache	4–13	-0.07	18%	22 Oct →
boulder	10–13	-0.04	7%	19 Oct →
anubis	11–13	-0.04	19%	19 Oct →
office	6–13	0.01	9%	19 Oct →
train	1–13	-0.09	18%	18 Oct →
nuke	13–6	-0.05	20%	18 Oct →
mirage	13–6	0.12	13%	18 Oct →
dust2	3–13	0.10	20%	18 Oct →
inferno	8–8	-0.12	14%	18 Oct →
anubis	3–13	-0.03	32%	15 Oct →
inferno	13–10	0.04	29%	13 Oct →
ancient	16–14	0.01	16%	13 Oct →
italy	13–11	0.01	25%	12 Oct →
anubis	4–13	-0.04	35%	12 Oct →
dust2	13–11	0.03	25%	12 Oct →
office	13–10	-0.03	26%	12 Oct →
cache	6–13	-0.06	6%	11 Oct →
dust2	12–12	-0.05	15%	9 Oct →
dust2	12–12	-0.02	17%	9 Oct →
cache	13–5	-0.03	17%	8 Oct →
inferno	9–13	-0.06	11%	8 Oct →
dust2	13–2	0.01	9%	8 Oct →
dust2	9–13	-0.02	16%	8 Oct →
anubis	4–13	-0.05	18%	8 Oct →
dust2	13–6	-0.04	11%	7 Oct →
inferno	13–10	0.08	32%	6 Oct →
dust2	13–5	-0.01	17%	6 Oct →
dust2	11–13	-0.06	15%	6 Oct →
dust2	8–13	-0.03	14%	5 Oct →
dust2	6–13	-0.01	23%	5 Oct →
italy	11–13	0.06	29%	4 Oct →
inferno	3–13	-0.09	6%	4 Oct →
anubis	13–8	0.04	19%	2 Oct →
vertigo	3–13	-0.00	13%	2 Oct →
cache	7–13	-0.00	13%	1 Oct →
cache	13–7	0.10	20%	1 Oct →
mirage	11–13	0.01	21%	1 Oct →
anubis	8–13	-0.01	19%	30 Sept →
anubis	13–3	0.04	8%	30 Sept →
cache	3–13	0.00	15%	30 Sept →
vertigo	12–12	-0.02	17%	30 Sept →
ancient	4–13	-0.03	0%	28 Sept →
anubis	13–9	0.06	16%	28 Sept →
cache	13–7	0.07	33%	27 Sept →
mirage	13–9	-0.02	19%	27 Sept →
dust2	9–13	0.01	15%	25 Sept →
mirage	13–7	0.08	18%	25 Sept →
overpass	12–12	-0.02	25%	25 Sept →
vertigo	13–11	-0.03	17%	25 Sept →
shelter	13–9	0.04	30%	25 Sept →
office	13–8	0.00	27%	25 Sept →
anubis	8–13	-0.00	19%	23 Sept →
vertigo	5–13	-0.02	16%	23 Sept →
office	8–13	-0.00	20%	23 Sept →
fachwerk	12–12	-0.02	18%	23 Sept →
inferno	9–4	-0.05	10%	23 Sept →
dust2	8–13	-0.00	10%	21 Sept →
dust2	8–13	-0.03	24%	21 Sept →
anubis	7–13	0.02	20%	21 Sept →
cache	13–9	0.05	13%	20 Sept →
boulder	13–3	-0.02	23%	20 Sept →
inferno	13–2	0.05	31%	20 Sept →
fachwerk	13–11	-0.05	11%	20 Sept →
shelter	7–13	-0.04	15%	17 Sept →
mirage	13–5	0.04	21%	17 Sept →
cache	13–9	-0.02	22%	17 Sept →
dust2	9–13	0.02	22%	17 Sept →
inferno	5–13	-0.09	17%	17 Sept →
mirage	11–0	-0.01	19%	17 Sept →
cache	9–13	-0.05	20%	17 Sept →
train	8–13	0.06	21%	17 Sept →
dust2	13–5	0.07	22%	17 Sept →
mirage	13–5	0.01	16%	17 Sept →
cache	13–11	-0.04	15%	16 Sept →
anubis	13–6	0.01	20%	16 Sept →
anubis	13–5	0.06	20%	16 Sept →
dust2	13–9	0.07	25%	16 Sept →
cache	13–11	-0.04	23%	15 Sept →
italy	13–11	0.04	21%	15 Sept →
train	9–13	-0.02	11%	15 Sept →
vertigo	6–13	0.00	18%	10 Sept →
inferno	1–13	-0.10	16%	10 Sept →
inferno	6–13	0.03	17%	10 Sept →
italy	13–9	0.00	13%	10 Sept →
vertigo	10–13	0.08	13%	10 Sept →
vertigo	13–0	0.00	50%	10 Sept →
dust2	13–8	0.08	15%	9 Sept →
ancient	6–13	-0.04	13%	9 Sept →
dust2	2–13	-0.07	41%	9 Sept →
fachwerk	5–13	-0.00	26%	9 Sept →
overpass	10–13	0.01	16%	9 Sept →
dust2	12–12	-0.01	21%	8 Sept →
dust2	10–1	0.05	10%	8 Sept →
dust2	2–13	-0.04	30%	8 Sept →