Mr.Buntstift — CS2 Stats

76561197977622433[U:1:17356705]Steam profile ↗✓ No bans

2,562Tracked matches48%Win rate2021Tracked since

CSDB Rating4.5 DevelopingSupport

Premier CS Rating14,557Blue band · top ~30.7% of ranked players (population est.)

CSDB Leaderboard#153277 of 259262 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+352Premier CS Rating · 14,205 → 14,557

Rating over time

Premier CS Rating: 14,557 +999 15 Sept – 1 Nov · 26 days played

15,535Peak Premier in tracked matches

28Days played since 2026-09-15

Premier CS Rating

739 below peak (15,296)
-739 over 30 days · declining
Next: Purple band at 15,000 — 443 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.

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Performance scores

Aim59

Positioning28

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY39–53–8Last 10039%Win rateWWLLLWWWLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +7.3pp headshot accuracy · −37ms reaction

Win rate up 20pp 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

2–3 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 17%
Avg reaction 539ms

Last 10

5–5 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 20%
Avg reaction 537ms

Last 20

8–10–2 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 16%
Avg reaction 555ms

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: Support — Utility contribution stands above the rest of this profile (+3 against its own average).

Aim5.9

Utility6.7

Positioning2.8

Opening Duels0.0

Clutch5.2

Effective flashes

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 ZywOo 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Reaction time. 576ms 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

Aim5.9

Positioning2.8

Utility6.7

Mechanics6.3

Opening Duels0.4

Win Impact4.4

Composite 4.5/10 (Developing), 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-0.03+0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time576ms−22ms

first ⅓ avg 598ms → last ⅓ avg 576ms

Headshot accuracy16.3%−0.0%

first ⅓ avg 16.4% → last ⅓ avg 16.3%

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

0.25Best match rating · 9–0 · inferno, 31 Oct →

45%Best headshot accuracy · 9–0 · inferno, 31 Oct →

422msFastest reaction time · 13–7 · inferno, 29 Sept →

13–1Biggest win · dust2, 18 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

W2Current streak

5–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 56% over 18mirageWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	23	7–16	30%	-0.03
dust2	A	18	10–8	56%	-0.03
mirage	D	14	3–11	21%	-0.05
cache	C	13	5–8	38%	-0.03
nuke	D	9	3–6	33%	-0.05
ancient	C	9	4–5	44%	-0.04
anubis	A	9	5–4	56%	-0.01
eldorado	—	2	0–2	0%	-0.07
boulder	—	1	1–0	100%	-0.04
shelter	—	1	1–0	100%	-0.04
vertigo	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (21% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

20Matches

50%Win rate

0.76Avg K/D

67.8ADR

36%Headshot %

Clutches & streaks

46%1v1 clutch win

20%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	4	0%	0.71	10.8
Vertigo	4	75%	1.09	18.5
Ancient	3	67%	0.88	12.0
Inferno	3	33%	0.67	10.7
Nuke	1	100%	0.73	11.0
Train	1	100%	0.72	13.0
Anubis	1	0%	0.68	13.0
Dust2	1	100%	0.50	8.0

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

34.3%Accuracy (enemy spotted)

32.1%Spray accuracy

78.4%Counter-strafing

10.5°Preaim

576msReaction time

33.3%T opening success

20.3%CT opening success

0.81Enemies flashed / flash

10.8%Flash assists

6.95HE damage / grenade

11.02Flashes / 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.

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 14.9607% — below the 15% mark we flag
Aim Training →
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 33.2543% — below the 40% mark we flag

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.

21% win rate across 14 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	16–14	0.04	11%	1 Nov →
boulder	13–6	-0.04	11%	1 Nov →
dust2	11–13	-0.05	20%	31 Oct →
inferno	4–13	0.02	20%	31 Oct →
nuke	3–13	-0.05	22%	31 Oct →
shelter	13–11	-0.04	29%	31 Oct →
inferno	9–0	0.25	45%	31 Oct →
cache	13–10	-0.09	9%	30 Oct →
ancient	6–13	-0.05	21%	29 Oct →
dust2	3–13	-0.08	11%	29 Oct →
dust2	3–13	-0.08	12%	29 Oct →
dust2	13–10	-0.06	6%	29 Oct →
cache	16–13	0.02	15%	29 Oct →
cache	9–13	-0.03	13%	29 Oct →
nuke	13–5	0.07	23%	28 Oct →
mirage	10–13	-0.03	11%	27 Oct →
inferno	8–8	-0.04	14%	27 Oct →
mirage	2–13	0.00	17%	27 Oct →
mirage	15–15	-0.08	2%	26 Oct →
ancient	5–13	-0.07	13%	26 Oct →
cache	3–13	-0.09	10%	26 Oct →
mirage	16–12	-0.03	9%	25 Oct →
mirage	13–5	-0.05	19%	25 Oct →
ancient	6–13	-0.09	21%	25 Oct →
inferno	7–9	-0.00	20%	23 Oct →
inferno	3–9	-0.21	8%	23 Oct →
dust2	13–10	-0.05	17%	20 Oct →
mirage	5–13	-0.03	11%	20 Oct →
cache	11–13	0.01	14%	20 Oct →
dust2	13–10	-0.01	24%	20 Oct →
anubis	13–2	0.03	22%	20 Oct →
ancient	13–10	-0.04	19%	20 Oct →
cache	13–9	-0.02	20%	18 Oct →
dust2	9–13	0.00	8%	18 Oct →
mirage	9–13	-0.07	10%	18 Oct →
anubis	10–13	-0.05	13%	18 Oct →
anubis	13–11	0.03	19%	18 Oct →
dust2	13–3	-0.01	18%	18 Oct →
inferno	11–13	-0.01	13%	18 Oct →
mirage	5–13	-0.05	14%	18 Oct →
anubis	9–13	0.00	18%	18 Oct →
anubis	13–4	0.03	12%	15 Oct →
inferno	13–10	-0.01	14%	15 Oct →
inferno	7–13	-0.05	22%	15 Oct →
eldorado	6–9	-0.09	18%	15 Oct →
cache	4–13	-0.01	31%	15 Oct →
inferno	5–13	-0.06	21%	8 Oct →
anubis	13–2	0.02	11%	8 Oct →
nuke	3–13	-0.06	32%	7 Oct →
dust2	13–4	0.02	22%	7 Oct →
mirage	1–13	-0.10	21%	7 Oct →
dust2	1–13	-0.09	5%	5 Oct →
cache	6–13	-0.06	21%	5 Oct →
nuke	8–13	-0.05	14%	5 Oct →
inferno	6–9	-0.02	15%	5 Oct →
mirage	8–13	-0.04	18%	5 Oct →
inferno	5–9	-0.12	15%	5 Oct →
cache	6–13	-0.06	24%	4 Oct →
ancient	4–13	-0.12	14%	4 Oct →
nuke	2–13	-0.09	10%	30 Sept →
inferno	5–13	-0.04	21%	30 Sept →
dust2	13–7	0.07	28%	30 Sept →
ancient	13–9	-0.03	31%	30 Sept →
ancient	13–11	0.00	23%	29 Sept →
inferno	13–7	-0.09	14%	29 Sept →
inferno	8–8	-0.10	23%	29 Sept →
nuke	9–4	-0.03	19%	29 Sept →
cache	12–12	0.01	26%	28 Sept →
dust2	10–13	-0.03	9%	28 Sept →
dust2	13–9	-0.06	24%	28 Sept →
inferno	6–13	-0.06	11%	28 Sept →
ancient	10–13	-0.01	12%	28 Sept →
cache	13–9	-0.02	22%	28 Sept →
mirage	13–7	-0.07	14%	24 Sept →
cache	13–2	-0.04	18%	24 Sept →
inferno	2–13	-0.11	15%	24 Sept →
anubis	8–13	-0.03	12%	24 Sept →
inferno	13–4	-0.05	13%	24 Sept →
inferno	13–8	0.05	27%	23 Sept →
anubis	13–6	-0.05	10%	23 Sept →
dust2	15–15	-0.05	15%	22 Sept →
mirage	6–13	-0.04	22%	22 Sept →
nuke	13–8	-0.08	16%	21 Sept →
inferno	8–13	-0.06	24%	20 Sept →
dust2	5–13	-0.05	14%	20 Sept →
cache	6–13	-0.07	19%	20 Sept →
eldorado	8–8	-0.05	8%	20 Sept →
vertigo	8–8	0.07	11%	20 Sept →
inferno	7–9	0.06	26%	20 Sept →
mirage	8–13	-0.08	17%	18 Sept →
dust2	13–11	-0.05	10%	18 Sept →
dust2	8–2	-0.03	23%	18 Sept →
dust2	13–1	0.09	18%	18 Sept →
inferno	15–15	-0.03	19%	18 Sept →
mirage	8–13	-0.04	12%	17 Sept →
ancient	13–5	0.02	18%	16 Sept →
nuke	14–16	-0.08	16%	16 Sept →
inferno	13–10	0.04	9%	16 Sept →
anubis	12–16	-0.05	14%	15 Sept →
nuke	12–16	-0.03	20%	15 Sept →