Adeen — CS2 Stats

76561198036650829[U:1:76385101]Steam profile ↗✓ No bans

1,522Tracked matches64%Win rate2023Tracked since

CSDB Rating5.5 Solid

Premier CS Rating16,395Purple band · top ~22.8% of ranked players (population est.)

CSDB Leaderboard#32374 of 58990 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim49

Positioning58

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateTLWLLLWWLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim4.9

Aggression8.2

Utility6.2

Positioning5.8

Opening Duels4.6

Clutch3.8

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 iM 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: higher opening-fight frequency; lower aim profile.

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. 0.94 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 652ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.9

Positioning5.8

Utility6.2

Mechanics3.2

Opening Duels4.6

Win Impact9.8

Composite 5.5/10 (Solid), 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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time649ms−15ms

first ⅓ avg 664ms → last ⅓ avg 649ms

Headshot accuracy15.3%−0.1%

first ⅓ avg 15.4% → last ⅓ avg 15.3%

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.

Highlights

0.12Best rating — cache 13–1

13–1Biggest win — cache

6Longest win streak

9–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 62% over 29infernoWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	29	18–11	62%	0.03
ancient	A	22	12–10	55%	0.01
inferno	C	12	5–7	42%	-0.01
mirage	B	12	6–6	50%	0.02
nuke	A	11	6–5	55%	0.02
anubis	B	10	5–5	50%	-0.00
cache	—	4	3–1	75%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

273Matches

49%Win rate

1.08Avg K/D

83.5ADR

38%Headshot %

Clutches & streaks

39%1v1 clutch win

16%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	53	57%	1.17	16.3
Mirage	47	47%	0.91	14.6
Inferno	47	53%	1.01	14.4
Nuke	42	40%	1.19	16.9
Anubis	37	46%	0.98	16.0
Dust2	34	62%	1.32	16.9
Vertigo	10	10%	0.90	14.1
Cache	1	100%	0.83	10.0

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.

15.4%Headshot accuracy

34.1%Accuracy (enemy spotted)

31.3%Spray accuracy

64.6%Counter-strafing

7.9°Preaim

652msReaction time

41.7%T opening success

55.0%CT opening success

0.94Enemies flashed / flash

5.1%Flash assists

8.73HE damage / grenade

3.13Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.1271 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	15–15	-0.03	10%	30 Aug →
nuke	7–13	-0.02	22%	30 Aug →
nuke	13–7	0.05	15%	26 Aug →
dust2	10–13	0.04	11%	23 Aug →
ancient	5–13	-0.03	13%	23 Aug →
dust2	4–13	-0.05	12%	23 Aug →
ancient	13–11	-0.03	13%	23 Aug →
inferno	13–7	-0.05	26%	23 Aug →
ancient	11–13	0.01	13%	18 Aug →
ancient	13–4	0.03	21%	18 Aug →
cache	13–7	-0.01	11%	18 Aug →
mirage	13–11	0.03	18%	18 Aug →
dust2	15–15	-0.00	14%	17 Aug →
cache	13–10	0.03	16%	17 Aug →
ancient	5–13	-0.05	17%	17 Aug →
dust2	13–8	0.04	28%	15 Aug →
anubis	10–13	-0.05	7%	15 Aug →
ancient	13–11	0.01	16%	15 Aug →
anubis	13–6	0.06	24%	14 Aug →
dust2	8–13	0.02	14%	11 Aug →
anubis	13–11	-0.04	13%	11 Aug →
dust2	7–13	-0.01	15%	9 Aug →
ancient	13–8	0.04	17%	8 Aug →
dust2	13–8	0.07	13%	8 Aug →
inferno	16–13	0.02	17%	8 Aug →
dust2	13–7	0.08	18%	8 Aug →
dust2	16–13	0.07	12%	8 Aug →
inferno	13–8	0.06	18%	8 Aug →
ancient	11–13	-0.03	13%	6 Aug →
anubis	13–11	0.00	15%	6 Aug →
ancient	16–14	0.05	11%	6 Aug →
cache	13–1	0.12	12%	6 Aug →
dust2	8–13	-0.00	10%	6 Aug →
dust2	13–8	0.10	19%	6 Aug →
mirage	13–3	0.04	6%	5 Aug →
ancient	13–7	0.06	18%	5 Aug →
anubis	9–13	0.01	10%	5 Aug →
nuke	13–8	-0.00	15%	5 Aug →
inferno	9–13	0.05	17%	5 Aug →
ancient	13–3	0.05	18%	5 Aug →
anubis	10–13	0.02	16%	4 Aug →
ancient	13–9	0.03	14%	4 Aug →
mirage	13–10	0.04	16%	3 Aug →
mirage	13–11	0.02	8%	1 Aug →
anubis	4–13	0.00	28%	31 Jul →
mirage	15–15	0.08	13%	31 Jul →
dust2	9–13	-0.03	11%	31 Jul →
dust2	13–6	0.05	11%	31 Jul →
nuke	16–13	0.08	16%	31 Jul →
mirage	13–10	-0.01	15%	27 Jul →
nuke	13–1	0.08	27%	27 Jul →
dust2	13–9	0.03	10%	26 Jul →
dust2	13–10	0.03	14%	26 Jul →
dust2	5–13	-0.07	22%	26 Jul →
mirage	6–13	-0.05	18%	25 Jul →
mirage	13–9	0.04	15%	25 Jul →
inferno	11–13	0.00	10%	24 Jul →
ancient	13–4	-0.00	19%	24 Jul →
mirage	8–13	0.01	20%	24 Jul →
dust2	13–4	0.09	13%	24 Jul →
dust2	13–11	0.07	7%	23 Jul →
ancient	13–5	0.10	14%	23 Jul →
dust2	13–9	0.01	14%	23 Jul →
dust2	13–3	0.05	23%	23 Jul →
dust2	13–4	0.10	13%	23 Jul →
ancient	5–13	-0.04	28%	20 Jul →
nuke	3–13	0.02	19%	20 Jul →
nuke	13–11	0.05	20%	20 Jul →
dust2	13–10	0.01	21%	19 Jul →
dust2	4–13	-0.05	17%	19 Jul →
ancient	7–13	-0.01	9%	19 Jul →
inferno	12–16	-0.01	21%	19 Jul →
ancient	6–13	-0.04	17%	19 Jul →
ancient	5–13	-0.08	7%	19 Jul →
inferno	13–10	0.06	13%	19 Jul →
nuke	5–13	-0.03	11%	19 Jul →
inferno	13–9	-0.03	15%	19 Jul →
dust2	13–2	0.08	22%	18 Jul →
ancient	11–13	0.10	13%	18 Jul →
inferno	10–13	-0.02	9%	18 Jul →
dust2	13–6	0.03	17%	18 Jul →
anubis	13–16	-0.02	22%	18 Jul →
nuke	9–13	0.06	12%	18 Jul →
dust2	13–6	0.04	11%	18 Jul →
mirage	11–13	-0.00	17%	18 Jul →
inferno	5–13	-0.08	16%	18 Jul →
inferno	11–13	-0.00	13%	18 Jul →
anubis	13–5	-0.02	22%	17 Jul →
inferno	4–13	-0.08	7%	17 Jul →
ancient	13–10	-0.02	13%	17 Jul →
mirage	10–13	0.02	19%	17 Jul →
dust2	13–6	0.01	21%	17 Jul →
ancient	16–13	0.07	20%	17 Jul →
mirage	15–15	-0.01	11%	17 Jul →
anubis	13–9	0.01	15%	16 Jul →
dust2	9–13	0.01	14%	16 Jul →
dust2	12–16	-0.01	22%	16 Jul →
cache	11–13	0.06	16%	14 Jul →
nuke	13–10	-0.00	11%	14 Jul →
ancient	8–13	0.02	13%	14 Jul →