Junkie🐸 — CS2 Stats

76561199214360739[U:1:1254095011]Steam profile ↗✓ No bans

2,904Tracked matches62%Win rate2023Tracked since

CSDB Rating7.0 StrongOpening Duellist

CSDB Leaderboard#188099 of 261685 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (56 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 2,904

−3.4ppWin rate · 65.5% → 62.1%

Rating over time

Premier CS Rating: 9,999 +6,494 18 Aug – 20 Sept · 22 days played

10,111Peak Premier in tracked matches

746Highest Faceit ELO seen on CSDB

37Days played since 2025-08-14

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim87

Positioning63

Utility27

0–100 skill scores via Leetify.

Recent form

STEADY42–51–7Last 10042%Win rateLWLTLLWWWW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +2.7pp headshot accuracy · +24ms 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

1–3–1 · 20% win rate
Avg rating 0.06
Avg headshot accuracy 21%
Avg reaction 514ms

Last 10

5–4–1 · 50% win rate
Avg rating 0.05
Avg headshot accuracy 20%
Avg reaction 544ms

Last 20

11–8–1 · 55% win rate
Avg rating 0.04
Avg headshot accuracy 18%
Avg reaction 532ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.8 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.7

Utility2.7

Positioning6.3

Opening Duels7.2

Clutch5.6

Sharp aimerLimited 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.

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 s1mple 77% playstyle similarity

Most alike: opening-duel success, aim profile.

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 87 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim8.7

Positioning6.3

Utility2.7

Mechanics7.7

Opening Duels7.0

Win Impact9.0

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.07

first ⅓ avg -0.02 → last ⅓ avg 0.05

Reaction time554ms−162ms

first ⅓ avg 716ms → last ⅓ avg 554ms

Headshot accuracy20.1%+3.2%

first ⅓ avg 16.8% → last ⅓ avg 20.1%

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

0.21Best match rating · 13–6 · anubis, 29 Aug →

33%Best headshot accuracy · 13–4 · anubis, 29 Aug →

391msFastest reaction time · 3–13 · anubis, 3 Aug →

13–2Biggest win · cache, 29 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak

5–11In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 58% over 24cacheWeakest map · 24% over 21

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	24	14–10	58%	0.03
cache	D	21	5–16	24%	0.01
ancient	B	21	10–11	48%	0.02
anubis	C	19	8–11	42%	0.02
inferno	D	13	4–9	31%	-0.01
vertigo	—	1	0–1	0%	0.07
dust2	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

152Matches

49%Win rate

0.71Avg K/D

78.0ADR

35%Headshot %

Clutches & streaks

48%1v1 clutch win

25%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	41	54%	0.71	11.4
Inferno	29	38%	0.61	10.7
Vertigo	19	37%	0.67	10.8
Ancient	17	71%	0.80	12.5
Anubis	15	40%	0.74	14.2
Dust2	15	40%	0.72	11.4
Nuke	9	67%	0.87	12.2
Overpass	5	40%	0.55	7.8

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.

19.7%Headshot accuracy

40.0%Accuracy (enemy spotted)

33.7%Spray accuracy

84.9%Counter-strafing

7.5°Preaim

542msReaction time

58.9%T opening success

56.9%CT opening success

0.31Enemies flashed / flash

2.3%Flash assists

10.73HE damage / grenade

1.18Flashes / 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 0.3087 — below the 0.5 mark we flag
Grenade Lineups →

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.

24% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	7–13	-0.03	14%	11 Nov →
anubis	13–11	0.05	22%	17 Sept →
nuke	11–13	0.08	31%	13 Sept →
cache	15–15	0.06	21%	10 Sept →
ancient	14–16	0.12	17%	10 Sept →
vertigo	11–13	0.07	18%	9 Sept →
inferno	13–11	0.01	8%	9 Sept →
nuke	13–8	0.08	31%	9 Sept →
cache	13–4	0.04	16%	9 Sept →
cache	13–11	0.01	19%	8 Sept →
nuke	7–13	-0.04	9%	8 Sept →
cache	14–16	0.05	14%	7 Sept →
nuke	13–5	0.03	16%	7 Sept →
anubis	13–9	0.06	15%	3 Sept →
anubis	13–5	0.01	21%	2 Sept →
nuke	13–10	0.06	24%	2 Sept →
nuke	8–2	0.00	19%	2 Sept →
anubis	1–13	-0.01	25%	1 Sept →
nuke	13–11	0.04	14%	1 Sept →
anubis	4–13	0.05	14%	29 Aug →
anubis	13–6	0.21	20%	29 Aug →
nuke	4–13	0.01	14%	29 Aug →
anubis	13–4	0.09	33%	29 Aug →
cache	13–2	0.05	12%	29 Aug →
ancient	13–9	0.11	28%	28 Aug →
cache	13–4	-0.03	20%	28 Aug →
anubis	13–16	0.00	17%	27 Aug →
ancient	13–7	0.07	20%	26 Aug →
cache	13–2	0.08	33%	26 Aug →
anubis	13–16	-0.01	27%	26 Aug →
inferno	13–9	0.02	24%	25 Aug →
cache	10–13	0.07	24%	25 Aug →
ancient	13–9	0.06	21%	25 Aug →
anubis	16–13	0.00	28%	25 Aug →
nuke	13–7	0.12	15%	24 Aug →
nuke	13–9	0.09	22%	24 Aug →
anubis	11–13	0.01	10%	22 Aug →
ancient	13–4	0.05	3%	22 Aug →
cache	9–13	0.03	19%	22 Aug →
cache	15–15	0.02	12%	21 Aug →
ancient	15–15	0.14	20%	21 Aug →
anubis	11–13	-0.01	18%	21 Aug →
nuke	13–2	0.18	16%	21 Aug →
dust2	13–9	-0.01	10%	21 Aug →
ancient	13–5	0.04	6%	21 Aug →
anubis	13–8	0.12	20%	21 Aug →
nuke	13–11	0.05	18%	20 Aug →
cache	8–13	-0.04	21%	20 Aug →
nuke	13–8	-0.04	12%	20 Aug →
anubis	13–10	-0.06	10%	20 Aug →
cache	4–13	0.02	17%	20 Aug →
ancient	3–13	-0.07	8%	20 Aug →
nuke	13–6	0.03	16%	20 Aug →
cache	2–13	-0.03	8%	20 Aug →
nuke	8–13	0.01	14%	19 Aug →
ancient	13–9	0.08	8%	19 Aug →
ancient	13–5	0.05	8%	19 Aug →
cache	1–13	0.01	19%	19 Aug →
cache	1–13	-0.03	15%	18 Aug →
anubis	8–13	-0.04	12%	18 Aug →
ancient	13–3	-0.06	16%	18 Aug →
inferno	7–13	0.04	9%	17 Aug →
anubis	10–13	0.01	16%	17 Aug →
nuke	10–13	0.07	13%	17 Aug →
inferno	6–13	-0.01	11%	16 Aug →
cache	15–15	-0.05	19%	16 Aug →
ancient	10–13	0.04	14%	16 Aug →
ancient	13–6	-0.00	11%	16 Aug →
ancient	5–13	-0.04	21%	15 Aug →
inferno	13–7	-0.03	13%	15 Aug →
nuke	13–9	-0.05	15%	15 Aug →
inferno	8–13	-0.02	18%	13 Aug →
ancient	7–13	-0.07	21%	13 Aug →
nuke	13–7	-0.02	18%	10 Aug →
inferno	6–13	0.02	14%	10 Aug →
cache	5–13	-0.03	17%	10 Aug →
nuke	9–13	-0.05	13%	8 Aug →
ancient	11–13	-0.02	12%	7 Aug →
ancient	10–13	0.02	23%	7 Aug →
nuke	11–13	-0.02	25%	5 Aug →
cache	14–16	-0.03	20%	3 Aug →
anubis	3–13	-0.05	24%	3 Aug →
ancient	6–13	-0.06	16%	3 Aug →
cache	15–15	-0.04	19%	2 Aug →
nuke	13–6	0.03	22%	2 Aug →
nuke	4–13	-0.09	23%	1 Aug →
inferno	9–13	-0.03	8%	1 Aug →
inferno	14–16	-0.00	18%	31 Jul →
anubis	2–13	0.00	18%	31 Jul →
inferno	15–15	-0.03	14%	30 Jul →
nuke	6–13	0.01	20%	30 Jul →
cache	7–13	-0.01	10%	30 Jul →
inferno	4–13	-0.08	23%	28 Jul →
ancient	6–13	-0.04	20%	15 Jul →
inferno	13–2	-0.00	15%	15 Jul →
nuke	10–13	0.00	10%	15 Jul →
ancient	13–6	0.01	7%	14 Jul →
cache	15–15	0.03	15%	14 Jul →
ancient	14–16	-0.06	13%	14 Jul →
inferno	9–13	-0.07	21%	14 Jul →