shaw-ty — CS2 Stats

76561198219397767[U:1:259132039]

1,166Tracked matches50%Win rate2023Tracked since

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating16,170Purple band · top ~23.7% of ranked players (population est.)

CSDB Leaderboard#16555 of 28069 tracked

FaceitLevel 6 · 1,293 ELOTop 54.0% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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

Aim83

Positioning45

Utility34

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateWLLWLWWLLL

Last 10 vs previous 10: -20pp win rate · -0.05 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.3

Aggression5.5

Utility3.4

Positioning4.5

Opening Duels3.2

Clutch5.2

Strong CT-side openerEffective flashesLimited 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.

Your pro match

Plays most like NiKo 85% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 52% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3

Positioning4.5

Utility3.4

Mechanics7.6

Opening Duels3.2

Win Impact5.0

Composite 5.9/10 (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 rating0.03−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time613ms+14ms

first ⅓ avg 599ms → last ⅓ avg 613ms

Headshot accuracy17.2%−2.3%

first ⅓ avg 19.5% → last ⅓ avg 17.2%

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

0.17Best rating — ancient 13–4

13–0Biggest win — ancient

8Longest win streak

4–3In matches decided by ≤2 rounds

8Overtime games

Map breakdown

cacheBest map · 78% over 9mirageWeakest map · 32% over 22

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	22	7–15	32%	0.02
dust2	B	19	10–9	53%	0.04
nuke	A	16	10–6	63%	0.03
inferno	A	14	8–6	57%	0.05
ancient	S	11	8–3	73%	0.04
cache	S	9	7–2	78%	0.08
anubis	B	6	3–3	50%	-0.02
overpass	—	2	1–1	50%	-0.02
train	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

144Matches

56%Win rate

0.98Avg K/D

85.1ADR

42%Headshot %

Clutches & streaks

46%1v1 clutch win

27%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	38	61%	1.11	16.6
Dust2	32	53%	0.91	16.8
Inferno	17	76%	0.96	15.1
Nuke	15	60%	1.11	16.7
Overpass	7	43%	0.97	18.6
Ancient	6	67%	0.97	15.0
Anubis	5	60%	1.10	14.0
Vertigo	3	0%	1.00	17.7

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.

17.4%Headshot accuracy

42.6%Accuracy (enemy spotted)

46.0%Spray accuracy

84.1%Counter-strafing

10.4°Preaim

615msReaction time

33.7%T opening success

51.6%CT opening success

0.70Enemies flashed / flash

8.9%Flash assists

8.60HE damage / grenade

1.61Flashes / 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 1.61 — below the 4 mark we flag
Grenade Lineups →
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 33.6508% — below the 40% mark we flag

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.

32% win rate across 22 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
inferno	13–10	0.06	15%	28 Aug →
ancient	10–13	-0.03	13%	27 Aug →
dust2	7–13	-0.02	11%	27 Aug →
inferno	13–3	0.06	21%	27 Aug →
dust2	6–13	-0.03	14%	23 Aug →
ancient	11–1	-0.03	15%	23 Aug →
dust2	13–7	0.03	16%	23 Aug →
nuke	2–13	0.01	29%	21 Aug →
inferno	4–13	0.03	29%	21 Aug →
mirage	2–13	-0.08	15%	21 Aug →
nuke	13–8	0.04	17%	12 Aug →
dust2	13–5	0.07	26%	12 Aug →
cache	13–5	0.14	20%	12 Aug →
mirage	13–6	0.05	23%	12 Aug →
anubis	4–13	-0.01	14%	12 Aug →
dust2	10–13	0.16	19%	12 Aug →
nuke	1–13	-0.02	7%	12 Aug →
mirage	10–13	0.00	6%	28 Jul →
dust2	13–8	0.07	24%	28 Jul →
inferno	13–6	0.02	5%	25 Jul →
inferno	3–9	0.07	13%	25 Jul →
nuke	13–5	0.10	8%	25 Jul →
dust2	13–10	0.12	24%	25 Jul →
anubis	13–8	-0.06	12%	24 Jul →
anubis	10–13	0.02	42%	24 Jul →
ancient	13–4	0.01	32%	24 Jul →
mirage	13–16	-0.02	17%	24 Jul →
mirage	9–13	0.02	8%	23 Jul →
inferno	9–13	0.01	9%	22 Jul →
nuke	13–9	-0.01	18%	22 Jul →
mirage	13–7	0.03	13%	19 Jul →
mirage	10–13	0.03	16%	19 Jul →
inferno	13–7	0.04	17%	18 Jul →
mirage	14–16	0.04	11%	17 Jul →
mirage	10–13	0.08	13%	17 Jul →
mirage	3–13	-0.05	16%	17 Jul →
nuke	13–10	0.06	13%	17 Jul →
cache	13–7	0.06	13%	17 Jul →
dust2	8–13	-0.00	16%	17 Jul →
mirage	13–3	0.11	15%	17 Jul →
dust2	10–1	0.09	33%	17 Jul →
cache	13–8	0.13	21%	15 Jul →
cache	13–8	0.05	21%	15 Jul →
ancient	13–10	0.01	25%	15 Jul →
ancient	13–11	0.12	8%	15 Jul →
cache	13–6	0.08	18%	14 Jul →
dust2	13–9	0.01	21%	14 Jul →
mirage	8–13	-0.03	16%	13 Jul →
mirage	13–8	0.03	8%	13 Jul →
mirage	11–13	-0.03	19%	13 Jul →
nuke	9–13	0.01	9%	13 Jul →
mirage	9–13	-0.05	3%	13 Jul →
ancient	13–4	0.01	13%	13 Jul →
dust2	16–14	0.01	13%	13 Jul →
anubis	13–5	-0.01	11%	13 Jul →
inferno	13–10	0.10	26%	12 Jul →
dust2	4–13	0.04	24%	12 Jul →
inferno	13–8	0.03	8%	12 Jul →
inferno	13–10	0.06	22%	12 Jul →
nuke	8–13	0.01	10%	12 Jul →
ancient	13–10	-0.01	11%	12 Jul →
mirage	13–6	0.04	12%	12 Jul →
inferno	14–16	-0.01	14%	12 Jul →
mirage	10–13	0.02	10%	12 Jul →
ancient	9–13	-0.05	14%	12 Jul →
dust2	13–7	0.01	10%	12 Jul →
inferno	8–13	0.08	20%	10 Jul →
dust2	8–13	0.08	9%	10 Jul →
nuke	4–13	-0.07	13%	10 Jul →
dust2	16–12	0.01	19%	10 Jul →
mirage	15–15	-0.00	16%	10 Jul →
nuke	13–7	0.00	6%	10 Jul →
nuke	13–5	0.10	29%	9 Jul →
mirage	13–6	0.15	31%	9 Jul →
ancient	13–0	0.10	21%	9 Jul →
dust2	10–13	0.09	24%	9 Jul →
nuke	16–12	0.15	36%	9 Jul →
cache	7–13	0.01	25%	8 Jul →
dust2	13–9	0.06	23%	8 Jul →
inferno	13–6	0.04	16%	8 Jul →
mirage	13–4	-0.05	8%	8 Jul →
mirage	4–13	0.00	12%	8 Jul →
cache	4–13	0.08	22%	7 Jul →
train	13–5	0.05	26%	7 Jul →
nuke	13–8	0.03	17%	6 Jul →
overpass	2–0	-0.09	0%	6 Jul →
anubis	6–13	-0.03	16%	6 Jul →
nuke	13–9	-0.00	25%	6 Jul →
anubis	13–11	-0.00	9%	5 Jul →
dust2	10–13	0.05	34%	5 Jul →
inferno	9–13	0.10	24%	5 Jul →
mirage	2–13	0.05	18%	5 Jul →
ancient	9–13	0.08	27%	5 Jul →
nuke	13–9	0.08	20%	5 Jul →
ancient	13–4	0.17	14%	5 Jul →
overpass	13–16	0.04	16%	5 Jul →
cache	13–4	0.08	19%	4 Jul →
nuke	10–13	0.04	21%	4 Jul →
cache	13–6	0.06	28%	4 Jul →
dust2	4–13	0.00	19%	4 Jul →