Raymond. — CS2 Stats

76561198798959378[U:1:838693650]Steam profile ↗✓ No bans

815Tracked matches59%Win rate2020Tracked since

534Hours in CS

CSDB Rating6.8 SolidHybrid Rifler

Premier CS Rating21,399Pink band · top ~7% of ranked players (population est.)

CSDB Leaderboard#6081 of 16690 tracked

FaceitLevel 7 · 1,408 ELOTop 42.3% of ranked FACEIT players

WingmanLegendary Eagle 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

Aim80

Positioning68

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateLWTWWLLLLW

Last 10 vs previous 10: -30pp win rate · -0.05 avg rating

Player DNA

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

Aim8.0

Aggression6.4

Utility4.8

Positioning6.8

Opening Duels3.0

Clutch3.2

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 iM 92% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success.

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

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

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

Aim8.0

Positioning6.8

Utility4.8

Mechanics7.3

Opening Duels3.0

Win Impact8.1

Composite 6.8/10 (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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time531ms−107ms

first ⅓ avg 638ms → last ⅓ avg 531ms

Headshot accuracy21.3%−2.0%

first ⅓ avg 23.3% → last ⅓ avg 21.3%

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

0.30Best rating — inferno 9–3

13–1Biggest win — mirage

4Longest win streak

3–5In matches decided by ≤2 rounds

15Overtime games

Map breakdown

dust2Best map · 63% over 19anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	19	10–9	53%	0.01
dust2	A	19	12–7	63%	0.02
inferno	B	17	8–9	47%	0.04
nuke	B	13	6–7	46%	0.03
ancient	B	13	6–7	46%	0.05
cache	D	7	2–5	29%	0.01
anubis	D	6	1–5	17%	0.06
train	—	4	1–3	25%	0.03
debris	—	1	1–0	100%	0.05
vertigo	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,702Lifetime kills

1.27K/D · Top 25% of Pink band

1,251Matches

51.6%Match win rate · Top 25% of Pink band

51.3%Headshot % · Top 50% of Pink band

4.7%Shot accuracy

3,981MVPs

534Hours (in match)

1,458Bombs planted

335Bombs defused

Most-used weapons

AK-479,127

M4A4 / M4A1-S4,829

AWP2,225

P2000 / USP-S1,659

Glock-181,212

Desert Eagle1,142

MP9844

Galil AR780

MAC-10560

XM1014358

Lifetime map wins

2,675dust2

1,964inferno

866nuke

666vertigo

318train

39office

24safehouse

13italy

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

Faceit stats

Combat

88Matches

59%Win rate

1.26Avg K/D

93.3ADR

51%Headshot %

Clutches & streaks

36%1v1 clutch win

18%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	26	46%	1.20	20.3
Dust2	20	65%	1.25	17.6
Ancient	14	57%	1.33	19.5
Inferno	11	45%	1.15	19.8
Anubis	10	80%	1.30	20.1
Overpass	4	75%	1.45	21.8
Nuke	2	100%	1.31	21.0
Train	1	100%	2.38	19.0

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.

21.2%Headshot accuracy

36.8%Accuracy (enemy spotted)

34.1%Spray accuracy

82.6%Counter-strafing

9.9°Preaim

528msReaction time

34.8%T opening success

49.0%CT opening success

0.50Enemies flashed / flash

8.2%Flash assists

8.66HE damage / grenade

7.96Flashes / 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 0.4982 — 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 34.8401% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	3–13	-0.08	18%	27 Aug →
cache	13–3	0.01	12%	27 Aug →
anubis	15–15	0.01	19%	27 Aug →
mirage	13–11	0.01	15%	27 Aug →
dust2	13–3	-0.00	20%	24 Aug →
dust2	7–13	-0.06	19%	24 Aug →
inferno	9–13	0.02	26%	24 Aug →
mirage	10–13	-0.01	26%	24 Aug →
mirage	5–13	-0.11	17%	23 Aug →
dust2	13–3	0.16	25%	23 Aug →
nuke	9–13	0.08	28%	23 Aug →
mirage	8–13	0.03	14%	23 Aug →
dust2	13–7	0.08	50%	23 Aug →
ancient	13–4	0.04	20%	23 Aug →
dust2	13–9	0.01	17%	23 Aug →
mirage	13–1	0.17	22%	20 Aug →
ancient	4–13	-0.00	19%	20 Aug →
nuke	16–13	0.01	16%	19 Aug →
dust2	13–6	0.03	16%	19 Aug →
inferno	13–10	0.02	33%	19 Aug →
ancient	6–13	-0.04	20%	16 Aug →
dust2	13–8	-0.00	20%	16 Aug →
ancient	13–8	-0.00	18%	16 Aug →
inferno	15–15	0.01	22%	16 Aug →
mirage	13–7	0.04	9%	16 Aug →
inferno	13–8	0.07	24%	16 Aug →
dust2	9–13	0.02	27%	16 Aug →
nuke	13–3	0.11	21%	15 Aug →
nuke	15–15	-0.00	27%	15 Aug →
mirage	8–13	-0.03	13%	15 Aug →
mirage	13–9	0.05	31%	15 Aug →
dust2	10–13	-0.02	25%	15 Aug →
inferno	14–16	-0.00	17%	14 Aug →
train	4–13	-0.01	42%	12 Aug →
ancient	13–8	0.10	49%	10 Aug →
mirage	11–13	-0.04	13%	9 Aug →
anubis	13–9	0.03	22%	9 Aug →
dust2	11–13	0.04	33%	5 Aug →
nuke	13–5	0.11	30%	5 Aug →
cache	12–16	0.01	28%	5 Aug →
debris	9–5	0.05	30%	4 Aug →
ancient	13–16	0.04	35%	3 Aug →
ancient	13–4	0.09	24%	3 Aug →
anubis	3–13	-0.01	33%	3 Aug →
ancient	9–13	0.09	43%	2 Aug →
anubis	6–13	0.13	35%	2 Aug →
cache	6–13	0.02	31%	1 Aug →
inferno	5–9	0.05	11%	31 Jul →
inferno	9–3	0.30	100%	31 Jul →
nuke	4–9	0.03	29%	31 Jul →
inferno	13–3	0.01	18%	31 Jul →
train	9–13	0.04	30%	31 Jul →
cache	11–13	0.01	29%	31 Jul →
inferno	15–15	0.02	19%	31 Jul →
nuke	8–13	0.03	42%	30 Jul →
ancient	12–1	0.03	13%	30 Jul →
dust2	16–13	-0.04	15%	30 Jul →
mirage	6–13	-0.02	16%	30 Jul →
inferno	13–6	0.14	34%	30 Jul →
dust2	10–13	0.01	28%	30 Jul →
mirage	10–13	-0.04	23%	29 Jul →
cache	0–4	-0.04	67%	29 Jul →
mirage	13–9	0.02	24%	29 Jul →
cache	6–13	0.02	31%	29 Jul →
dust2	13–7	0.04	31%	28 Jul →
nuke	13–2	0.03	14%	27 Jul →
ancient	8–13	-0.00	35%	27 Jul →
inferno	13–8	-0.01	31%	24 Jul →
inferno	13–9	0.17	37%	23 Jul →
mirage	14–16	0.00	12%	23 Jul →
dust2	13–16	-0.00	18%	23 Jul →
mirage	13–9	0.02	16%	23 Jul →
dust2	13–10	0.02	18%	22 Jul →
mirage	16–13	0.06	22%	22 Jul →
mirage	13–8	-0.01	26%	22 Jul →
nuke	8–13	-0.01	15%	21 Jul →
mirage	10–2	0.10	40%	21 Jul →
anubis	15–15	0.12	28%	21 Jul →
inferno	13–9	-0.02	13%	20 Jul →
mirage	13–10	-0.04	14%	20 Jul →
nuke	13–7	0.03	24%	20 Jul →
dust2	5–13	0.01	33%	19 Jul →
train	9–13	0.06	35%	19 Jul →
cache	13–10	0.05	31%	19 Jul →
train	13–11	0.04	25%	18 Jul →
ancient	3–13	0.02	21%	18 Jul →
nuke	13–11	-0.04	19%	17 Jul →
anubis	9–13	0.08	29%	14 Jul →
nuke	12–12	0.04	26%	14 Jul →
ancient	12–3	0.15	13%	12 Jul →
dust2	13–8	0.10	21%	11 Jul →
dust2	13–2	0.08	20%	10 Jul →
dust2	13–5	-0.01	26%	10 Jul →
nuke	12–16	-0.01	29%	10 Jul →
inferno	13–16	0.04	29%	9 Jul →
mirage	4–13	0.01	26%	9 Jul →
ancient	13–4	0.11	25%	7 Jul →
inferno	5–9	-0.15	3%	7 Jul →
inferno	9–13	0.04	23%	7 Jul →
vertigo	12–12	0.04	21%	7 Jul →