💕Twitch Darwy199696💕 — CS2 Stats

DE76561198117322670[U:1:157056942]Steam profile ↗✓ No bans

1,164Tracked matches34%Win rate2020Tracked since

5,263Hours in CS39Hrs last 2 wks

CSDB Rating2.5 LearningSupport

Premier CS Rating2,471Grey band · top ~89.5% of ranked players (population est.)

CSDB Leaderboard#208388 of 259584 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanSilver Elite Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (5 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: 2,471 -1,404 7 Sept – 29 Oct · 14 days played

3,875Peak Premier in tracked matches

29Days played since 2026-09-07

Premier CS Rating

1,404 below peak (3,875)
Next: Light Blue band at 5,000 — 2,529 to go

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 Level 5 among CSDB-tracked players (n=14,283), 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	Level 5 median	Level 6 median	vs Level 6
Headshot rate	35.1%	43.8%	44.8%	9.7% short
Shot accuracy	13.7%	12.0%	12.4%	above
Kill/death ratio	0.94	1.02	1.03	0.09 short
Match win rate	37.2%	44.7%	45.2%	8.1% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim10

Positioning52

Utility59

0–100 skill scores via Leetify.

Recent form

COLD41–54–5Last 10041%Win rateLLLLLLLTLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +1.1pp headshot accuracy · −20ms reaction

Win rate down 30pp 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

0–5 · 0% win rate
Avg rating -0.04
Avg headshot accuracy 16%
Avg reaction 734ms

Last 10

0–9–1 · 0% win rate
Avg rating -0.04
Avg headshot accuracy 15%
Avg reaction 700ms

Last 20

3–16–1 · 15% win rate
Avg rating -0.03
Avg headshot accuracy 15%
Avg reaction 710ms

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 (+2.6 against its own average).

Aim1.0

Utility5.9

Positioning5.2

Opening Duels2.0

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.

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.

Strengths & areas to improve

Areas to improve

Reaction time. 697ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 52% 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

Aim1.0

Positioning5.2

Utility5.9

Mechanics0.6

Opening Duels4.2

Win Impact0.0

Composite 2.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time705ms+21ms

first ⅓ avg 684ms → last ⅓ avg 705ms

Headshot accuracy12.9%+0.5%

first ⅓ avg 12.4% → last ⅓ avg 12.9%

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

0.11Best match rating · 13–6 · dust2, 20 Oct →

50%Best headshot accuracy · 13–5 · dust2, 18 Oct →

422msFastest reaction time · 8–13 · dust2, 4 Oct →

13–0Biggest win · dust2, 8 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

L7Current streak

5–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 60% over 5cacheWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	47	22–25	47%	-0.01
inferno	D	15	5–10	33%	-0.02
cache	D	9	1–8	11%	-0.04
ancient	B	8	4–4	50%	-0.01
mirage	C	8	3–5	38%	-0.02
nuke	A	5	3–2	60%	0.00
anubis	—	3	1–2	33%	-0.07
train	—	2	1–1	50%	-0.08
poseidon	—	1	0–1	0%	-0.04
office	—	1	1–0	100%	-0.02
shelter	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Lifetime stats

127,676Lifetime kills

0.94K/D

7,143Matches

37.2%Match win rate

35.1%Headshot %

13.7%Shot accuracy · Top 50% of Level 5 players

14,810MVPs

2,678Hours (in match)

4,717Bombs planted

1,274Bombs defused

Most-used weapons

AWP35,666

AK-4720,640

M4A4 / M4A1-S12,987

P907,527

P2000 / USP-S5,823

Glock-185,748

UMP-455,132

Desert Eagle4,259

SSG 082,886

Five-SeveN2,769

Lifetime map wins

31,342dust2

7,196office

6,460inferno

1,563nuke

873vertigo

823lake

705italy

449train

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

Faceit stats

Combat

4Matches

50%Win rate

0.61Avg K/D

57.8ADR

36%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	50%	0.73	14.0
Ancient	1	0%	0.68	13.0
Inferno	1	100%	0.31	5.0

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.

13.3%Headshot accuracy

26.0%Accuracy (enemy spotted)

28.2%Spray accuracy

52.5%Counter-strafing

13.2°Preaim

697msReaction time

52.1%T opening success

41.9%CT opening success

0.67Enemies flashed / flash

2.4%Flash assists

9.65HE damage / grenade

20.44Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.2352° — above the 12° mark we flag
Aim Training →
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 13.271% — below the 15% mark we flag
Aim Training →

Spend your practice time on Cache

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

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

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	9–13	-0.02	20%	1 Nov →
dust2	10–13	-0.03	15%	31 Oct →
cache	2–13	-0.09	14%	29 Oct →
cache	4–13	-0.04	15%	29 Oct →
dust2	8–13	-0.03	15%	28 Oct →
dust2	8–13	-0.04	17%	28 Oct →
ancient	7–13	-0.03	10%	28 Oct →
mirage	15–15	-0.04	14%	28 Oct →
dust2	10–13	-0.04	21%	27 Oct →
poseidon	2–9	-0.04	13%	27 Oct →
inferno	4–9	-0.04	10%	27 Oct →
mirage	6–13	0.03	18%	26 Oct →
inferno	4–9	0.04	9%	26 Oct →
inferno	11–13	0.01	16%	26 Oct →
inferno	13–11	-0.06	9%	26 Oct →
inferno	8–13	-0.01	17%	25 Oct →
anubis	11–13	-0.03	6%	25 Oct →
anubis	13–11	-0.06	31%	25 Oct →
dust2	5–13	0.04	13%	24 Oct →
dust2	13–10	-0.05	15%	24 Oct →
dust2	13–7	0.04	19%	24 Oct →
ancient	6–13	-0.03	3%	24 Oct →
inferno	16–13	-0.05	11%	24 Oct →
ancient	13–10	-0.05	9%	24 Oct →
dust2	13–4	0.03	10%	24 Oct →
dust2	13–7	0.05	5%	23 Oct →
inferno	13–6	0.05	13%	23 Oct →
nuke	16–14	0.08	10%	23 Oct →
mirage	1–13	0.01	8%	23 Oct →
inferno	1–13	-0.09	10%	22 Oct →
nuke	6–13	-0.10	4%	22 Oct →
mirage	2–13	-0.04	13%	22 Oct →
cache	6–13	-0.07	13%	21 Oct →
ancient	13–9	0.05	9%	21 Oct →
dust2	12–12	0.01	13%	21 Oct →
dust2	0–13	-0.01	10%	20 Oct →
dust2	13–6	0.11	11%	20 Oct →
cache	4–13	0.03	8%	19 Oct →
dust2	3–13	-0.06	17%	19 Oct →
ancient	13–10	0.04	15%	19 Oct →
dust2	13–9	0.02	16%	19 Oct →
dust2	16–13	0.03	12%	19 Oct →
nuke	13–7	0.07	13%	19 Oct →
ancient	7–13	-0.04	18%	19 Oct →
dust2	12–16	0.02	14%	19 Oct →
mirage	4–13	0.00	8%	19 Oct →
dust2	9–13	-0.02	9%	19 Oct →
dust2	8–13	0.00	0%	18 Oct →
dust2	13–5	0.00	50%	18 Oct →
cache	12–12	-0.08	10%	18 Oct →
dust2	13–7	0.00	33%	18 Oct →
dust2	13–6	-0.02	19%	18 Oct →
dust2	13–10	-0.03	15%	18 Oct →
mirage	13–10	-0.02	23%	17 Oct →
cache	13–3	0.01	13%	17 Oct →
inferno	8–13	-0.05	18%	16 Oct →
dust2	6–13	-0.10	9%	16 Oct →
dust2	13–4	0.05	5%	16 Oct →
anubis	3–13	-0.11	17%	16 Oct →
ancient	13–3	0.04	20%	16 Oct →
dust2	6–3	0.05	13%	15 Oct →
dust2	10–13	0.01	13%	14 Oct →
dust2	13–10	-0.02	12%	14 Oct →
dust2	11–13	-0.03	6%	13 Oct →
nuke	8–13	-0.01	18%	13 Oct →
dust2	0–7	-0.02	0%	13 Oct →
office	13–7	-0.02	29%	13 Oct →
dust2	5–13	-0.06	8%	11 Oct →
ancient	4–13	-0.05	11%	10 Oct →
dust2	10–13	-0.05	29%	10 Oct →
dust2	10–13	-0.07	15%	10 Oct →
shelter	12–12	-0.04	14%	9 Oct →
dust2	10–13	-0.01	8%	8 Oct →
dust2	13–5	0.03	5%	8 Oct →
dust2	13–0	-0.01	10%	8 Oct →
train	3–13	-0.12	13%	8 Oct →
inferno	13–11	0.04	12%	8 Oct →
inferno	13–16	0.02	13%	8 Oct →
train	13–10	-0.04	9%	7 Oct →
dust2	13–5	0.05	5%	7 Oct →
cache	6–13	-0.13	0%	6 Oct →
cache	9–13	0.01	13%	6 Oct →
dust2	8–13	-0.01	26%	6 Oct →
dust2	12–12	-0.07	21%	5 Oct →
dust2	8–13	-0.05	9%	5 Oct →
inferno	8–13	-0.07	3%	4 Oct →
dust2	8–13	-0.05	14%	4 Oct →
dust2	13–10	-0.04	10%	4 Oct →
dust2	1–13	-0.06	9%	4 Oct →
inferno	6–13	0.02	20%	3 Oct →
inferno	11–13	-0.09	9%	3 Oct →
dust2	13–3	-0.01	29%	3 Oct →
nuke	13–9	-0.03	15%	3 Oct →
mirage	13–4	-0.03	8%	3 Oct →
cache	7–13	-0.01	15%	2 Oct →
dust2	13–8	-0.01	21%	2 Oct →
dust2	13–5	-0.02	6%	2 Oct →
mirage	13–11	-0.09	4%	2 Oct →
dust2	13–6	-0.02	15%	2 Oct →
inferno	13–10	-0.06	11%	2 Oct →