Shelby — CS2 Stats

PT76561198283086099[U:1:322820371]Steam profile ↗

1,443Tracked matches33%Win rate2020Tracked since

6,173Hours in CS38Hrs last 2 wks

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating21,652Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)

CSDB Leaderboard#10846 of 35301 tracked

FaceitLevel 7 · 1,187 ELOTop 42.3% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,022), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 7 median	Level 8 median	vs Level 8
Headshot rate	41.3%	46.2%	47.2%	5.9% short
Shot accuracy	16.3%	12.5%	12.3%	above
Kill/death ratio	0.99	1.06	1.07	0.09 short
Match win rate	43.7%	45.9%	46.3%	2.6% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim68

Positioning61

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY43–55–2Last 10043%Win rateWWLLLWWLLL

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

Player DNA

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

Aim6.8

Aggression8.7

Utility6.0

Positioning6.1

Opening Duels4.0

Clutch5.0

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 jL 91% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.8

Positioning6.1

Utility6.0

Mechanics4.9

Opening Duels4.0

Win Impact0.0

Composite 5.4/10 (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 rating0.01+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time544ms−55ms

first ⅓ avg 600ms → last ⅓ avg 544ms

Headshot accuracy20.0%+2.6%

first ⅓ avg 17.3% → last ⅓ avg 20.0%

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

0.13Best rating — anubis 13–2

13–2Biggest win — ancient

7Longest win streak

W2Current streak

10–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 56% over 16ancientWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	12–15	44%	0.01
inferno	C	20	7–13	35%	0.01
anubis	A	16	9–7	56%	0.03
ancient	D	15	5–10	33%	-0.02
cache	B	13	7–6	54%	0.01
nuke	B	6	3–3	50%	0.01
dust2	—	3	0–3	0%	-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

182,098Lifetime kills

0.99K/D

9,290Matches

43.7%Match win rate

41.3%Headshot %

16.3%Shot accuracy · Top 25% of Level 7 players

25,343MVPs

4,169Hours (in match)

10,855Bombs planted

3,914Bombs defused

Most-used weapons

AK-4754,433

AWP31,791

M4A4 / M4A1-S28,095

P2000 / USP-S12,918

Desert Eagle8,093

Glock-187,683

P2503,967

UMP-453,392

Galil AR2,826

FAMAS2,808

Lifetime map wins

20,089inferno

15,968dust2

6,050train

2,806nuke

2,474cbble

2,266vertigo

138safehouse

122shorttrain

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

Faceit stats

Combat

1,486Matches

51%Win rate

1.08Avg K/D

79.9ADR

43%Headshot %

Clutches & streaks

45%1v1 clutch win

24%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	61	56%	1.11	16.3
Mirage	61	57%	1.13	15.7
Anubis	37	49%	1.14	16.2
Ancient	35	37%	1.13	16.1
Dust2	18	33%	0.94	14.2
Cache	15	33%	1.23	18.1
Overpass	3	67%	1.27	17.0
Nuke	3	33%	1.04	16.3

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.

20.2%Headshot accuracy

35.2%Accuracy (enemy spotted)

38.2%Spray accuracy

72.1%Counter-strafing

11.2°Preaim

548msReaction time

38.7%T opening success

53.5%CT opening success

0.53Enemies flashed / flash

11.0%Flash assists

5.73HE damage / grenade

10.32Flashes / 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 38.6901% — 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.

33% win rate across 15 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	13–11	0.03	14%	28 Aug →
anubis	13–6	0.01	9%	28 Aug →
anubis	9–13	0.02	31%	27 Aug →
cache	10–13	0.02	22%	27 Aug →
anubis	10–13	0.12	20%	27 Aug →
nuke	13–4	0.12	16%	27 Aug →
inferno	13–5	0.00	17%	26 Aug →
mirage	9–13	-0.04	30%	26 Aug →
anubis	11–13	0.00	19%	26 Aug →
cache	5–13	0.02	21%	25 Aug →
ancient	11–13	-0.04	25%	25 Aug →
mirage	6–13	-0.05	14%	24 Aug →
ancient	13–2	0.05	16%	24 Aug →
nuke	8–13	-0.00	28%	24 Aug →
inferno	11–13	0.06	17%	24 Aug →
anubis	5–13	0.03	13%	23 Aug →
cache	6–13	-0.06	8%	23 Aug →
cache	13–4	0.08	26%	23 Aug →
ancient	7–13	-0.04	25%	23 Aug →
inferno	13–2	0.10	15%	23 Aug →
inferno	12–16	0.01	35%	20 Aug →
mirage	10–13	0.02	17%	20 Aug →
inferno	13–3	0.03	20%	20 Aug →
inferno	8–8	0.09	32%	20 Aug →
inferno	6–9	-0.08	20%	19 Aug →
mirage	3–13	-0.00	12%	18 Aug →
cache	13–7	0.04	13%	18 Aug →
inferno	4–13	-0.05	17%	18 Aug →
mirage	7–13	0.02	13%	17 Aug →
ancient	13–10	-0.02	10%	17 Aug →
mirage	9–13	-0.03	36%	14 Aug →
ancient	4–13	-0.03	35%	14 Aug →
cache	13–5	0.02	13%	13 Aug →
inferno	8–13	-0.02	19%	13 Aug →
inferno	16–12	0.08	24%	13 Aug →
anubis	13–7	0.05	12%	12 Aug →
ancient	6–13	-0.03	16%	12 Aug →
inferno	13–10	0.04	39%	12 Aug →
mirage	11–13	0.08	25%	12 Aug →
anubis	13–2	0.13	14%	12 Aug →
cache	6–13	-0.01	33%	12 Aug →
mirage	3–13	-0.00	33%	11 Aug →
ancient	13–11	0.03	24%	11 Aug →
inferno	4–13	-0.04	21%	11 Aug →
mirage	13–6	0.04	29%	11 Aug →
inferno	13–9	0.05	26%	11 Aug →
mirage	13–11	0.01	21%	11 Aug →
anubis	8–13	-0.02	14%	11 Aug →
dust2	10–13	-0.05	13%	11 Aug →
inferno	11–13	-0.04	18%	11 Aug →
mirage	1–13	-0.04	22%	11 Aug →
nuke	6–13	-0.07	19%	10 Aug →
cache	13–5	0.04	21%	10 Aug →
mirage	13–8	0.04	16%	10 Aug →
mirage	3–8	-0.03	15%	10 Aug →
ancient	4–13	-0.02	14%	10 Aug →
anubis	13–11	0.10	21%	10 Aug →
mirage	13–7	0.01	17%	10 Aug →
inferno	10–13	-0.05	17%	10 Aug →
anubis	13–3	0.02	9%	10 Aug →
inferno	13–2	0.12	19%	10 Aug →
inferno	7–13	-0.04	13%	9 Aug →
dust2	7–13	-0.05	18%	9 Aug →
mirage	9–13	0.02	18%	9 Aug →
nuke	2–13	-0.02	19%	8 Aug →
cache	13–5	0.03	14%	7 Aug →
mirage	8–13	0.05	27%	7 Aug →
inferno	8–13	0.02	13%	7 Aug →
anubis	13–6	-0.04	13%	6 Aug →
mirage	13–5	0.03	15%	5 Aug →
cache	13–5	-0.10	15%	5 Aug →
cache	16–14	-0.02	22%	5 Aug →
mirage	13–10	-0.02	22%	5 Aug →
mirage	13–11	-0.04	22%	4 Aug →
mirage	13–10	-0.01	16%	4 Aug →
ancient	14–16	-0.01	17%	2 Aug →
inferno	3–13	0.04	25%	2 Aug →
ancient	13–11	-0.06	14%	1 Aug →
anubis	13–11	-0.01	13%	1 Aug →
ancient	16–12	-0.00	19%	1 Aug →
ancient	7–13	-0.03	16%	1 Aug →
mirage	13–9	0.02	26%	31 Jul →
mirage	15–15	0.03	14%	30 Jul →
nuke	13–6	0.02	13%	30 Jul →
dust2	2–13	-0.10	29%	30 Jul →
mirage	13–8	0.02	16%	30 Jul →
nuke	13–6	-0.03	24%	30 Jul →
ancient	7–13	0.00	11%	29 Jul →
anubis	6–13	-0.05	21%	29 Jul →
mirage	13–11	0.11	17%	29 Jul →
ancient	10–13	-0.03	7%	28 Jul →
anubis	13–9	0.06	32%	28 Jul →
mirage	9–13	0.01	18%	28 Jul →
cache	9–13	0.06	17%	28 Jul →
anubis	8–13	0.01	23%	27 Jul →
cache	10–13	0.03	14%	27 Jul →
mirage	10–13	-0.03	17%	26 Jul →
ancient	2–13	-0.08	6%	26 Jul →
inferno	9–13	0.01	16%	26 Jul →
anubis	13–11	0.06	10%	26 Jul →