wes10 — CS2 Stats

76561197995921577[U:1:35655849]

1,138Tracked matches30%Win rate2020Tracked since

6,980Hours in CS13Hrs last 2 wks

CSDB Rating6.5 SolidEntry Fragger

FaceitLevel 10 · 2,207 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate	44.1%	52.8%
Shot accuracy	16.2%	13.7%
Kill/death ratio	1.20	1.08
Match win rate	54.1%	49.2%

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Performance scores

Aim86

Positioning67

Utility66

0–100 skill scores via Leetify.

Recent form

COLD38–52–10Last 10038%Win rateLLTLLLWLWL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.6

Aggression10.0

Utility6.6

Positioning6.7

Opening Duels6.0

Clutch7.4

Sharp aimerStrong CT-side openerReliable in 1v1s

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 sh1ro 94% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

CT openings. 74% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 74% 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

Aim8.6

Positioning6.7

Utility6.6

Mechanics7.2

Opening Duels5.5

Win Impact0.0

Composite 6.5/10 (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 rating0.01−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.01

Reaction time539ms−35ms

first ⅓ avg 574ms → last ⅓ avg 539ms

Headshot accuracy16.5%−1.8%

first ⅓ avg 18.4% → last ⅓ avg 16.5%

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

0.19Best rating — ancient 13–0

13–0Biggest win — ancient

4Longest win streak

L2Current streak

9–9In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 71% over 14infernoWeakest map · 18% over 22

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	22	4–18	18%	-0.00
nuke	D	21	7–14	33%	0.02
ancient	D	18	6–12	33%	0.02
cache	S	14	10–4	71%	0.03
anubis	D	13	4–9	31%	0.02
mirage	B	6	3–3	50%	0.02
overpass	—	3	2–1	67%	0.06
train	—	2	1–1	50%	-0.03
dust2	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

249,342Lifetime kills

1.20K/D · Top 25% of Level 10 players

9,179Matches

54.1%Match win rate · Top 25% of Level 10 players

44.1%Headshot %

16.2%Shot accuracy · Top 25% of Level 10 players

37,892MVPs

4,788Hours (in match)

20,491Bombs planted

4,271Bombs defused

Most-used weapons

AK-4791,086

M4A4 / M4A1-S65,731

P2000 / USP-S17,871

Desert Eagle11,398

AWP10,217

Glock-189,190

P2505,966

FAMAS4,058

UMP-454,028

Knife3,960

Lifetime map wins

20,641inferno

14,025dust2

11,112nuke

8,628train

6,061cbble

554vertigo

328aztec

297dust

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

Faceit stats

Combat

2,993Matches

52%Win rate

1.14Avg K/D

98.9ADR

40%Headshot %

Clutches & streaks

57%1v1 clutch win

37%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	13	62%	1.58	18.6
Ancient	13	69%	1.37	18.5
Mirage	12	50%	1.42	19.1
Dust2	12	42%	1.25	20.2
Nuke	10	60%	1.44	20.9
Overpass	3	33%	1.31	17.0
Vertigo	2	0%	0.47	7.5
Anubis	2	50%	0.73	14.0

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.

16.8%Headshot accuracy

40.1%Accuracy (enemy spotted)

44.1%Spray accuracy

82.6%Counter-strafing

9.1°Preaim

529msReaction time

34.2%T opening success

73.7%CT opening success

0.47Enemies flashed / flash

10.7%Flash assists

11.29HE damage / grenade

7.80Flashes / 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.

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 0.4728 — below the 0.5 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 34.188% — below the 40% mark we flag

Spend your practice time on Inferno

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

18% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	6–13	0.01	31%	27 Aug →
nuke	11–13	-0.01	13%	27 Aug →
inferno	12–12	0.02	19%	25 Aug →
mirage	11–13	-0.04	19%	25 Aug →
ancient	11–13	0.02	13%	25 Aug →
inferno	11–13	-0.02	23%	22 Aug →
anubis	13–6	0.06	17%	22 Aug →
ancient	1–13	-0.03	3%	22 Aug →
cache	13–11	0.01	23%	20 Aug →
nuke	9–13	0.06	17%	20 Aug →
inferno	7–13	-0.04	8%	20 Aug →
ancient	5–13	-0.05	16%	20 Aug →
inferno	12–12	-0.05	20%	16 Aug →
cache	3–13	-0.03	18%	14 Aug →
ancient	13–0	0.19	25%	14 Aug →
anubis	9–13	0.05	21%	14 Aug →
inferno	7–13	0.03	17%	13 Aug →
nuke	3–13	-0.05	12%	13 Aug →
cache	13–0	0.06	17%	11 Aug →
nuke	13–7	0.04	11%	11 Aug →
ancient	7–13	0.08	12%	11 Aug →
cache	13–11	0.01	23%	10 Aug →
nuke	7–13	0.03	7%	9 Aug →
nuke	7–13	-0.00	17%	4 Aug →
cache	13–9	-0.00	20%	4 Aug →
ancient	8–13	-0.04	10%	4 Aug →
inferno	13–2	0.10	17%	4 Aug →
anubis	7–13	0.06	22%	3 Aug →
cache	12–12	-0.01	13%	3 Aug →
inferno	8–13	0.01	19%	28 Jul →
mirage	12–12	-0.03	13%	27 Jul →
nuke	7–13	-0.03	18%	27 Jul →
inferno	12–12	-0.00	14%	27 Jul →
anubis	10–13	-0.05	2%	27 Jul →
anubis	12–12	0.01	14%	24 Jul →
ancient	13–10	0.06	22%	24 Jul →
inferno	12–12	-0.05	15%	24 Jul →
inferno	13–10	0.07	12%	23 Jul →
dust2	13–11	0.08	18%	22 Jul →
anubis	3–13	-0.01	18%	22 Jul →
nuke	1–13	-0.07	11%	22 Jul →
ancient	4–13	-0.02	13%	21 Jul →
inferno	12–12	-0.04	16%	21 Jul →
anubis	13–8	0.07	13%	21 Jul →
cache	13–5	-0.01	13%	21 Jul →
ancient	7–13	-0.03	13%	20 Jul →
inferno	11–13	-0.03	26%	20 Jul →
ancient	7–13	-0.03	18%	16 Jul →
cache	13–4	0.03	22%	16 Jul →
nuke	13–9	0.06	15%	15 Jul →
nuke	13–7	0.10	24%	14 Jul →
anubis	9–13	0.01	18%	14 Jul →
inferno	5–13	-0.05	10%	14 Jul →
train	2–13	-0.03	17%	14 Jul →
ancient	9–13	0.07	23%	13 Jul →
ancient	4–13	-0.05	17%	10 Jul →
nuke	13–11	-0.02	8%	10 Jul →
overpass	4–13	-0.07	15%	8 Jul →
cache	11–13	0.03	15%	8 Jul →
train	13–10	-0.04	13%	7 Jul →
inferno	5–13	-0.01	23%	7 Jul →
nuke	7–13	0.12	18%	7 Jul →
nuke	3–13	-0.01	12%	6 Jul →
cache	13–11	0.02	12%	6 Jul →
ancient	13–7	0.07	14%	5 Jul →
nuke	15–15	0.05	13%	5 Jul →
inferno	3–13	-0.06	23%	5 Jul →
anubis	13–3	0.04	26%	5 Jul →
cache	11–13	0.01	14%	5 Jul →
nuke	13–10	0.06	20%	4 Jul →
ancient	14–16	-0.02	15%	4 Jul →
inferno	8–13	-0.04	10%	4 Jul →
nuke	13–10	0.02	10%	3 Jul →
inferno	13–10	0.04	19%	3 Jul →
ancient	13–2	0.13	23%	3 Jul →
cache	13–11	0.07	17%	3 Jul →
inferno	7–13	0.07	22%	30 Jun →
ancient	9–13	-0.09	26%	30 Jun →
inferno	10–13	0.01	14%	22 Jun →
nuke	7–13	-0.06	20%	22 Jun →
nuke	13–7	0.02	13%	19 Jun →
ancient	13–6	0.06	14%	18 Jun →
inferno	13–8	0.01	14%	7 Jun →
nuke	9–13	0.04	22%	4 Jun →
anubis	14–16	0.04	19%	2 Jun →
anubis	8–13	-0.01	18%	28 May →
inferno	5–13	-0.05	28%	28 May →
anubis	16–14	0.02	20%	26 May →
mirage	13–4	0.01	14%	26 May →
cache	13–11	0.09	23%	26 May →
nuke	12–12	0.10	17%	26 May →
mirage	9–13	0.04	14%	26 May →
inferno	10–13	0.02	17%	26 May →
mirage	16–14	0.07	14%	24 May →
overpass	13–5	0.11	18%	24 May →
nuke	7–13	0.03	22%	24 May →
cache	13–9	0.07	18%	24 May →
mirage	13–1	0.06	21%	23 May →
ancient	13–10	0.02	21%	23 May →
overpass	13–3	0.15	22%	23 May →