type shit desuwa — CS2 Stats

76561198027124885[U:1:66859157]Steam profile ↗✓ No bans

978Tracked matches64%Win rate2020Tracked since

CSDB Rating5.0 DevelopingSupport

Premier CS Rating22,075Top 50% of 819 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)

CSDB Leaderboard#6057 of 19317 tracked

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim41

Positioning44

Utility79

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateWLWLWWWLWL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim4.1

Aggression3.3

Utility7.9

Positioning4.4

Opening Duels0.0

Strong CT-side openerHigh utility contribution

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 76% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Utility. Utility score of 79 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 37% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.1

Positioning4.4

Utility7.9

Mechanics3.9

Opening Duels0.9

Win Impact9.8

Composite 5.0/10 (Developing), 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 rating-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time622ms−38ms

first ⅓ avg 660ms → last ⅓ avg 622ms

Headshot accuracy12.8%−2.0%

first ⅓ avg 14.7% → last ⅓ avg 12.8%

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

0.14Best rating — inferno 13–3

13–1Biggest win — inferno

5Longest win streak

9–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 73% over 11ancientWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	20	11–9	55%	0.00
ancient	D	18	6–12	33%	-0.00
mirage	A	17	10–7	59%	0.00
anubis	C	17	6–11	35%	-0.01
cache	B	13	6–7	46%	0.01
nuke	S	11	8–3	73%	-0.02
overpass	—	2	2–0	100%	0.01
alpine	—	1	0–1	0%	-0.03
dust2	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.4%Headshot accuracy

31.8%Accuracy (enemy spotted)

39.6%Spray accuracy

67.7%Counter-strafing

12.2°Preaim

621msReaction time

18.9%T opening success

36.9%CT opening success

0.68Enemies flashed / flash

11.1%Flash assists

10.96HE damage / grenade

14.58Flashes / 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 12.1897° — 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 13.3613% — below the 15% mark we flag
Aim Training →

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.

33% win rate across 18 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
mirage	13–9	0.02	23%	28 Aug →
inferno	11–13	-0.04	11%	28 Aug →
cache	16–13	0.03	17%	28 Aug →
ancient	9–13	-0.09	13%	28 Aug →
anubis	13–7	-0.05	6%	28 Aug →
cache	16–14	-0.04	9%	28 Aug →
ancient	13–5	0.05	17%	28 Aug →
anubis	4–13	-0.04	9%	28 Aug →
anubis	13–8	0.02	15%	20 Aug →
cache	7–13	-0.02	12%	20 Aug →
inferno	13–9	-0.04	11%	20 Aug →
anubis	15–15	0.01	15%	8 Aug →
inferno	13–7	0.00	15%	8 Aug →
mirage	13–10	-0.07	16%	25 Jul →
inferno	2–13	-0.09	9%	25 Jul →
ancient	13–9	0.01	10%	25 Jul →
nuke	13–8	-0.07	4%	25 Jul →
anubis	5–13	-0.09	4%	25 Jul →
cache	11–13	-0.03	11%	25 Jul →
nuke	13–11	-0.06	12%	20 Jul →
mirage	11–13	-0.02	19%	20 Jul →
anubis	8–13	-0.00	17%	20 Jul →
cache	15–15	0.06	18%	20 Jul →
inferno	13–11	0.03	20%	10 Jul →
ancient	10–13	-0.07	17%	10 Jul →
cache	13–7	0.08	12%	10 Jul →
inferno	13–4	0.02	13%	3 Jul →
nuke	13–8	-0.05	18%	3 Jul →
mirage	13–9	0.06	13%	3 Jul →
anubis	13–5	0.07	9%	27 Jun →
ancient	4–13	-0.02	3%	27 Jun →
inferno	13–1	0.05	11%	27 Jun →
cache	13–11	-0.02	13%	27 Jun →
mirage	7–13	-0.03	11%	20 Jun →
anubis	7–13	-0.03	6%	20 Jun →
inferno	4–13	0.01	13%	20 Jun →
anubis	8–13	-0.03	8%	15 Jun →
ancient	9–13	-0.01	12%	15 Jun →
nuke	13–10	-0.02	15%	15 Jun →
nuke	13–10	-0.00	11%	14 Jun →
inferno	13–9	-0.00	27%	14 Jun →
mirage	13–9	0.06	17%	14 Jun →
ancient	13–4	0.08	27%	14 Jun →
inferno	7–13	-0.06	15%	14 Jun →
ancient	13–11	-0.00	19%	14 Jun →
mirage	13–3	-0.01	25%	14 Jun →
nuke	8–13	-0.02	13%	14 Jun →
mirage	5–13	0.12	26%	13 Jun →
cache	8–13	0.11	15%	13 Jun →
alpine	5–13	-0.03	23%	13 Jun →
cache	7–13	0.10	16%	13 Jun →
anubis	13–5	0.01	16%	13 Jun →
ancient	2–13	-0.11	0%	13 Jun →
mirage	13–11	-0.01	22%	13 Jun →
mirage	15–15	0.02	13%	7 Jun →
ancient	15–15	0.02	10%	7 Jun →
nuke	13–3	0.05	10%	7 Jun →
inferno	13–16	-0.02	16%	7 Jun →
anubis	11–13	-0.01	23%	31 May →
nuke	13–11	-0.03	4%	31 May →
inferno	4–13	-0.05	19%	31 May →
inferno	13–4	0.02	17%	31 May →
mirage	7–13	-0.03	7%	31 May →
overpass	13–11	0.04	13%	31 May →
ancient	11–13	0.03	26%	30 May →
inferno	9–13	-0.03	16%	25 May →
nuke	13–10	-0.00	15%	25 May →
ancient	3–13	0.04	17%	25 May →
mirage	15–15	0.02	11%	25 May →
anubis	6–13	-0.03	33%	25 May →
nuke	11–13	-0.01	21%	23 May →
ancient	3–13	-0.00	15%	23 May →
anubis	13–11	-0.01	14%	23 May →
inferno	13–3	0.14	14%	23 May →
ancient	5–13	-0.02	14%	17 May →
anubis	3–13	-0.01	21%	17 May →
inferno	13–10	-0.01	12%	17 May →
mirage	13–8	-0.01	10%	16 May →
inferno	6–13	-0.00	13%	16 May →
mirage	13–3	-0.01	20%	16 May →
anubis	9–13	0.01	13%	16 May →
ancient	13–10	0.06	14%	16 May →
mirage	16–12	0.01	4%	16 May →
overpass	13–6	-0.01	23%	11 May →
mirage	13–5	-0.02	18%	11 May →
cache	13–4	0.00	13%	9 May →
cache	7–13	-0.05	13%	9 May →
nuke	15–15	-0.05	15%	8 May →
ancient	13–2	0.10	16%	8 May →
anubis	7–13	-0.02	9%	8 May →
cache	13–4	-0.03	5%	7 May →
anubis	13–5	-0.00	8%	7 May →
inferno	11–13	0.02	13%	7 May →
dust2	5–13	-0.03	11%	3 May →
cache	8–13	-0.02	14%	3 May →
inferno	13–8	0.14	25%	27 Apr →
mirage	11–13	-0.01	11%	27 Apr →
ancient	9–13	-0.04	18%	25 Apr →
ancient	2–13	-0.09	6%	25 Apr →
inferno	13–4	-0.03	25%	25 Apr →