wusung 램 — CS2 Stats

76561197974087685[U:1:13821957]Steam profile ↗✓ No bans

2,727Tracked matches53%Win rate2020Tracked since

CSDB Rating6.6 SolidSupport

FaceitLevel 10 · 2,736 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning50

Utility76

0–100 skill scores via Leetify.

Recent form

HOT56–42–2Last 10056%Win rateLWWWLLWWWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

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

Aim8.2

Aggression4.6

Utility7.6

Positioning5.0

Opening Duels1.5

Clutch3.6

Strong CT-side openerEffective flashesHigh 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 Twistzz 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency.

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 76 — grenade impact well above the norm.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 48% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim8.2

Positioning5.0

Utility7.6

Mechanics6.9

Opening Duels2.3

Win Impact6.1

Composite 6.6/10 (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 rating0.00−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time576ms−25ms

first ⅓ avg 601ms → last ⅓ avg 576ms

Headshot accuracy28.4%−0.3%

first ⅓ avg 28.7% → last ⅓ avg 28.4%

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 — dust2 13–8

13–0Biggest win — cache

6Longest win streak

5–11In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 82% over 17ancientWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	13–11	54%	0.00
nuke	S	21	14–7	67%	0.02
inferno	S	17	14–3	82%	0.04
cache	B	11	5–6	45%	0.03
ancient	D	10	3–7	30%	-0.02
dust2	C	10	4–6	40%	0.01
anubis	C	5	2–3	40%	-0.01
overpass	—	2	1–1	50%	0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7,298Matches

55%Win rate

1.24Avg K/D

76.9ADR

56%Headshot %

Clutches & streaks

38%1v1 clutch win

22%1v2 clutch win

25Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	443	47%	1.11	15.3
Inferno	320	54%	1.22	16.4
Nuke	286	64%	1.21	16.4
Dust2	181	44%	1.02	15.8
Ancient	115	48%	1.10	15.0
Overpass	55	56%	1.13	17.8
Train	48	44%	1.12	15.3
Anubis	46	33%	1.13	15.5

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.

29.4%Headshot accuracy

34.9%Accuracy (enemy spotted)

39.1%Spray accuracy

80.9%Counter-strafing

10.7°Preaim

581msReaction time

23.5%T opening success

48.3%CT opening success

0.74Enemies flashed / flash

7.7%Flash assists

8.65HE damage / grenade

21.80Flashes / 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 23.5244% — 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.

30% win rate across 10 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	8–13	0.07	45%	24 Aug →
inferno	13–5	0.07	35%	21 Aug →
mirage	13–4	0.12	35%	20 Aug →
inferno	13–10	0.07	37%	17 Aug →
ancient	9–13	-0.05	25%	10 Aug →
nuke	7–13	-0.00	56%	8 Aug →
mirage	13–6	-0.03	31%	7 Aug →
mirage	16–14	-0.01	14%	6 Aug →
nuke	13–3	-0.04	23%	4 Aug →
nuke	13–5	0.07	45%	4 Aug →
mirage	11–13	-0.01	39%	4 Aug →
nuke	10–13	-0.00	18%	3 Aug →
nuke	13–6	-0.00	16%	2 Aug →
inferno	13–6	0.01	29%	2 Aug →
mirage	1–13	-0.03	32%	2 Aug →
mirage	6–13	-0.01	50%	27 Jul →
mirage	13–7	-0.01	48%	24 Jul →
mirage	11–13	0.04	33%	23 Jul →
anubis	8–13	-0.04	22%	22 Jul →
nuke	13–9	0.00	31%	22 Jul →
nuke	13–1	0.06	42%	18 Jul →
ancient	13–2	-0.01	14%	18 Jul →
cache	13–8	-0.00	20%	12 Jul →
ancient	7–13	-0.06	21%	11 Jul →
cache	1–13	-0.02	8%	11 Jul →
ancient	13–6	-0.01	9%	10 Jul →
dust2	10–13	-0.02	19%	10 Jul →
mirage	11–13	-0.00	24%	10 Jul →
cache	12–16	0.01	29%	9 Jul →
nuke	13–10	-0.02	40%	6 Jul →
inferno	13–8	0.06	14%	4 Jul →
overpass	15–19	-0.02	19%	4 Jul →
mirage	3–13	-0.07	19%	3 Jul →
nuke	13–8	0.08	34%	3 Jul →
dust2	13–2	0.07	39%	1 Jul →
overpass	16–13	0.09	22%	1 Jul →
mirage	17–19	-0.01	25%	30 Jun →
nuke	13–10	0.00	18%	27 Jun →
mirage	13–4	0.03	45%	27 Jun →
nuke	13–9	-0.01	30%	27 Jun →
dust2	12–16	0.04	23%	25 Jun →
cache	2–13	-0.05	16%	22 Jun →
mirage	13–8	0.03	53%	20 Jun →
anubis	3–11	-0.01	23%	20 Jun →
inferno	13–8	0.10	23%	20 Jun →
nuke	8–13	0.04	18%	19 Jun →
mirage	13–8	-0.01	26%	18 Jun →
inferno	9–6	-0.02	30%	13 Jun →
ancient	13–8	0.02	27%	13 Jun →
inferno	13–5	0.04	38%	13 Jun →
ancient	11–13	-0.04	9%	11 Jun →
dust2	13–10	-0.03	28%	11 Jun →
inferno	13–3	0.07	23%	6 Jun →
inferno	4–13	-0.09	19%	6 Jun →
inferno	4–13	0.04	20%	6 Jun →
ancient	11–13	-0.04	25%	5 Jun →
anubis	3–13	0.01	13%	5 Jun →
mirage	13–9	0.03	30%	5 Jun →
mirage	0–13	-0.10	38%	5 Jun →
mirage	6–13	-0.02	31%	4 Jun →
nuke	13–6	0.04	18%	4 Jun →
cache	13–0	0.09	29%	3 Jun →
nuke	13–11	0.04	26%	1 Jun →
mirage	13–10	0.05	16%	27 May →
nuke	13–11	0.09	24%	25 May →
anubis	13–5	0.01	33%	25 May →
dust2	10–13	0.01	41%	25 May →
nuke	13–7	-0.01	38%	25 May →
dust2	13–16	-0.03	33%	23 May →
inferno	13–9	0.02	23%	22 May →
cache	13–5	0.06	24%	19 May →
inferno	13–1	0.09	27%	19 May →
ancient	10–13	-0.01	27%	13 May →
cache	9–13	0.09	25%	13 May →
cache	12–12	0.05	22%	13 May →
cache	13–6	0.00	28%	8 May →
nuke	0–2	0.08	60%	8 May →
nuke	11–13	-0.02	23%	7 May →
inferno	13–3	0.14	45%	29 Apr →
dust2	13–8	0.14	33%	28 Apr →
mirage	11–13	-0.05	15%	27 Apr →
cache	19–17	0.06	27%	25 Apr →
mirage	13–6	0.01	25%	25 Apr →
nuke	13–10	0.05	52%	22 Apr →
inferno	13–5	0.03	63%	22 Apr →
mirage	13–11	0.02	28%	21 Apr →
ancient	5–13	-0.04	17%	18 Apr →
nuke	14–16	-0.05	20%	14 Apr →
inferno	13–9	-0.07	32%	12 Apr →
mirage	8–13	-0.05	28%	11 Apr →
dust2	6–13	-0.06	17%	10 Apr →
nuke	14–16	-0.06	25%	6 Apr →
mirage	13–7	0.03	32%	6 Apr →
dust2	13–10	0.00	17%	2 Apr →
ancient	15–15	0.02	27%	2 Apr →
mirage	13–9	0.06	31%	2 Apr →
inferno	13–5	0.13	25%	1 Apr →
dust2	9–13	0.01	19%	1 Apr →
anubis	13–7	-0.03	17%	30 Mar →
inferno	8–13	-0.03	21%	27 Mar →