stankmaster daniels — CS2 Stats

76561199207136470[U:1:1246870742]✓ No bans

5,727Tracked matches34%Win rate2021Tracked since

5,746Hours in CS38Hrs last 2 wks

CSDB Rating5.7 SolidPassive Rifler

Premier CS Rating21,204Pink band · top ~7.2% of ranked players (population est.)

CSDB Leaderboard#6303 of 16828 tracked

FaceitLevel 7 · 1,210 ELOTop 42.3% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning44

Utility43

0–100 skill scores via Leetify.

Recent form

COLD38–55–7Last 10038%Win rateLLWLWLWTLL

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

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim8.6

Aggression3.5

Utility4.3

Positioning4.4

Opening Duels1.0

Clutch3.8

Sharp aimerExcellent counter-strafingStrong CT-side openerLimited utility dependence

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 87% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 46% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim8.6

Positioning4.4

Utility4.3

Mechanics8.9

Opening Duels1.9

Win Impact0.0

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time582ms−59ms

first ⅓ avg 642ms → last ⅓ avg 582ms

Headshot accuracy16.6%−1.0%

first ⅓ avg 17.6% → last ⅓ avg 16.6%

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.

Highlights

0.15Best rating — train 13–3

13–2Biggest win — anubis

5Longest win streak

L2Current streak

6–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 64% over 14ancientWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	27	9–18	33%	-0.00
cache	D	18	6–12	33%	0.01
mirage	A	14	9–5	64%	0.00
anubis	C	10	4–6	40%	-0.01
inferno	A	9	5–4	56%	-0.01
nuke	D	9	2–7	22%	0.01
ancient	D	7	1–6	14%	0.01
train	—	3	1–2	33%	0.06
vertigo	—	2	1–1	50%	0.04
overpass	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

154,267Lifetime kills

1.09K/D · Top 50% of Pink band

5,883Matches

45.7%Match win rate

56.8%Headshot % · Top 25% of Pink band

11.0%Shot accuracy

13,854MVPs

5,682Hours (in match)

4,645Bombs planted

1,522Bombs defused

Most-used weapons

AK-4767,055

M4A4 / M4A1-S30,944

AWP12,841

P2000 / USP-S9,767

Desert Eagle6,967

Glock-185,510

MP93,979

Galil AR3,390

MAC-102,507

Knife1,915

Lifetime map wins

9,401dust2

7,303inferno

5,646nuke

2,942vertigo

1,084train

222office

84cbble

16italy

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

Faceit stats

Combat

1,469Matches

51%Win rate

1.07Avg K/D

76.2ADR

39%Headshot %

Clutches & streaks

39%1v1 clutch win

26%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	246	54%	1.06	15.7
Ancient	110	51%	0.99	15.2
Anubis	101	55%	1.00	14.2
Inferno	72	49%	1.08	15.2
Dust2	66	48%	1.11	15.1
Vertigo	53	38%	0.88	13.8
Nuke	52	48%	0.99	15.1
Overpass	37	43%	0.99	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.

17.3%Headshot accuracy

40.7%Accuracy (enemy spotted)

42.4%Spray accuracy

90.2%Counter-strafing

9.7°Preaim

578msReaction time

22.4%T opening success

45.6%CT opening success

0.50Enemies flashed / flash

4.4%Flash assists

8.95HE damage / grenade

4.39Flashes / 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.

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 22.3824% — below the 40% mark we flag

Spend your practice time on Ancient

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

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

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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