Xx_awsomeblade_xX — CS2 Stats

US76561198112473331[U:1:152207603]Steam profile ↗✓ No bans

109Tracked matches68%Win rate2020Tracked since

543Hours in CS0Hrs last 2 wks

CSDB Rating3.5 Learning

WingmanSilver III

Ladder ranks via Leetify

Performance scores

Aim15

Positioning48

Utility27

0–100 skill scores via Leetify.

Recent form

STEADY44–44–12Last 10044%Win rateWWWWWTWTLT

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

Player DNA

Aim1.5

Aggression5.0

Utility2.7

Positioning4.8

Opening Duels0.6

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 71% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Areas to improve

Reaction time. 689ms 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

Aim1.5

Positioning4.8

Utility2.7

Mechanics4.1

Opening Duels0.7

Win Impact10.0

Composite 3.5/10 (Learning), 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 rating-0.04+0.00

first ⅓ avg -0.04 → last ⅓ avg -0.04

Reaction time661ms−34ms

first ⅓ avg 694ms → last ⅓ avg 661ms

Headshot accuracy11.1%+1.2%

first ⅓ avg 9.9% → last ⅓ avg 11.1%

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.

Highlights

0.10Best rating — dust2 13–9

13–1Biggest win — anubis

10Longest win streak

W5Current streak

5–4In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 57% over 21mirageWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	24	10–14	42%	-0.05
dust2	A	21	12–9	57%	-0.02
office	A	14	8–6	57%	-0.02
mirage	D	11	3–8	27%	-0.04
vertigo	B	10	5–5	50%	-0.03
nuke	D	9	3–6	33%	-0.06
ancient	—	3	0–3	0%	-0.06
anubis	—	2	1–1	50%	-0.04
poseidon	—	2	1–1	50%	-0.17
overpass	—	1	0–1	0%	-0.05
cache	—	1	0–1	0%	-0.05
train	—	1	0–1	0%	-0.05
basalt	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,318Lifetime kills

1.06K/D · Top 50% of tracked players

1,893Matches

24.2%Match win rate

30.1%Headshot %

18.3%Shot accuracy · Top 10% of tracked players

1,249MVPs

401Hours (in match)

499Bombs planted

118Bombs defused

Most-used weapons

AWP2,909

M4A4 / M4A1-S2,566

AK-472,230

MP71,669

Desert Eagle1,598

P901,378

Negev1,201

P2000 / USP-S1,155

XM10141,030

Galil AR1,012

Lifetime map wins

1,234dust2

663inferno

524office

361nuke

242vertigo

170train

83safehouse

61lake

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

Skill profile

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

10.9%Headshot accuracy

26.7%Accuracy (enemy spotted)

26.0%Spray accuracy

68.4%Counter-strafing

13.1°Preaim

689msReaction time

28.8%T opening success

35.7%CT opening success

0.22Enemies flashed / flash

4.6%Flash assists

8.21HE damage / grenade

1.20Flashes / 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 13.075° — 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 10.8689% — below the 15% mark we flag
Aim Training →
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 0.2222 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	13–9	-0.04	13%	19 Jun →
office	13–2	-0.02	2%	17 Jun →
office	13–9	-0.04	8%	17 Jun →
office	13–6	0.01	14%	17 Jun →
dust2	13–2	-0.07	9%	17 Jun →
inferno	12–12	-0.03	13%	10 Jun →
office	13–4	-0.02	9%	10 Jun →
vertigo	12–12	-0.04	5%	4 Jun →
office	10–13	-0.08	14%	4 Jun →
anubis	12–12	-0.06	5%	2 Jun →
office	13–11	0.04	10%	2 Jun →
dust2	11–13	0.00	18%	1 Jun →
office	5–0	0.07	14%	1 Jun →
overpass	12–12	-0.05	16%	30 May →
inferno	2–9	-0.05	25%	30 May →
vertigo	2–0	-0.08	0%	30 May →
mirage	13–11	-0.04	13%	30 May →
inferno	9–4	-0.02	13%	30 May →
dust2	13–7	-0.01	16%	27 May →
anubis	13–1	-0.02	9%	27 May →
nuke	13–8	-0.05	9%	18 May →
inferno	13–8	0.02	5%	18 May →
inferno	9–1	-0.01	6%	17 May →
office	13–5	0.06	12%	13 May →
inferno	9–4	-0.03	15%	13 May →
poseidon	1–9	-0.24	14%	13 May →
inferno	9–4	-0.00	3%	12 May →
nuke	9–6	0.06	6%	12 May →
nuke	7–9	-0.13	28%	12 May →
inferno	7–9	-0.14	11%	12 May →
inferno	8–8	-0.06	13%	12 May →
inferno	8–8	-0.03	7%	12 May →
inferno	5–9	-0.05	10%	11 May →
inferno	4–9	-0.11	9%	1 May →
nuke	4–9	-0.19	0%	1 May →
inferno	9–4	-0.06	13%	1 May →
inferno	6–9	0.07	11%	1 May →
inferno	3–9	-0.16	6%	29 Apr →
inferno	4–9	-0.21	11%	29 Apr →
mirage	5–13	-0.02	10%	28 Apr →
cache	12–12	-0.05	7%	28 Apr →
inferno	2–13	-0.02	11%	28 Apr →
dust2	13–9	0.10	13%	27 Apr →
dust2	2–13	-0.04	14%	27 Apr →
ancient	4–13	-0.05	3%	27 Apr →
dust2	11–2	0.02	9%	27 Apr →
inferno	9–6	-0.12	0%	27 Apr →
inferno	8–8	-0.03	7%	27 Apr →
poseidon	9–5	-0.10	0%	27 Apr →
vertigo	6–9	-0.03	9%	27 Apr →
inferno	9–3	-0.01	7%	27 Apr →
dust2	10–13	0.02	14%	24 Apr →
inferno	4–13	-0.03	14%	24 Apr →
ancient	4–13	-0.10	4%	24 Apr →
inferno	13–10	-0.06	0%	24 Apr →
dust2	13–7	0.04	10%	22 Apr →
dust2	12–12	-0.05	5%	15 Apr →
dust2	4–13	-0.10	5%	15 Apr →
inferno	13–8	-0.01	10%	12 Apr →
dust2	13–11	-0.01	15%	12 Apr →
mirage	11–3	-0.03	0%	12 Apr →
dust2	1–13	-0.12	6%	11 Apr →
dust2	13–8	-0.02	12%	8 Apr →
office	9–13	-0.04	7%	19 Mar →
dust2	12–12	-0.02	16%	18 Mar →
mirage	8–13	-0.10	3%	18 Mar →
office	9–13	0.01	30%	18 Mar →
dust2	13–9	-0.05	14%	18 Mar →
office	13–8	-0.05	8%	18 Mar →
mirage	10–13	-0.06	9%	18 Mar →
dust2	13–9	-0.05	18%	17 Mar →
dust2	5–13	0.01	4%	17 Mar →
vertigo	13–10	-0.03	13%	16 Mar →
mirage	13–10	0.07	10%	16 Mar →
office	4–13	-0.10	0%	16 Mar →
vertigo	9–13	-0.08	16%	16 Mar →
mirage	5–13	-0.07	9%	15 Mar →
vertigo	13–8	-0.02	7%	15 Mar →
dust2	4–13	-0.09	15%	15 Mar →
office	5–13	-0.08	0%	15 Mar →
mirage	10–13	-0.10	10%	14 Mar →
ancient	8–13	-0.04	19%	1 Feb →
dust2	13–3	-0.02	18%	1 Feb →
dust2	13–9	-0.03	8%	1 Feb →
vertigo	6–13	0.06	15%	21 Dec →
nuke	7–13	-0.03	5%	17 Feb →
mirage	3–13	-0.09	8%	15 Feb →
office	12–12	-0.02	16%	15 Feb →
nuke	13–10	-0.06	15%	7 Feb →
nuke	5–13	-0.04	0%	6 Feb →
vertigo	7–13	-0.03	3%	6 Feb →
train	2–13	-0.05	11%	5 Feb →
vertigo	13–8	-0.07	6%	3 Feb →
nuke	9–13	-0.05	13%	20 Dec →
inferno	8–13	-0.06	11%	20 Dec →
basalt	13–5	-0.02	23%	20 Dec →
mirage	11–13	-0.04	5%	7 Aug →
nuke	6–9	-0.08	0%	10 Aug →
dust2	9–7	0.04	8%	10 Aug →
mirage	8–8	0.09	14%	4 Apr →