RaynoR — CS2 Stats

US76561198867934772[U:1:907669044]Steam profile ↗

1,660Tracked matches53%Win rate2024Tracked since

1,765Hours in CS75Hrs last 2 wks

CSDB Rating5.2 Developing

Premier CS Rating21,570Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)

CSDB Leaderboard#10082 of 31717 tracked

FaceitLevel 4 · 940 ELOTop 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median	Level 5 median	vs Level 5
Headshot rate	40.0%	42.5%	44.2%	4.2% short
Shot accuracy	0.2%	10.9%	11.2%	11.0% short
Kill/death ratio	1.08	0.99	1.04	above
Match win rate	50.5%	44.2%	45.3%	above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim59

Positioning46

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLWWWLLWLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim5.9

Aggression4.6

Utility4.1

Positioning4.6

Opening Duels1.6

Clutch2.2

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 NiKo 85% playstyle similarity

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

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

T-side openings. Opening success drops from 47% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim5.9

Positioning4.6

Utility4.1

Mechanics6.7

Opening Duels2.2

Win Impact6.1

Composite 5.2/10 (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+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time614ms+41ms

first ⅓ avg 573ms → last ⅓ avg 614ms

Headshot accuracy13.6%−1.6%

first ⅓ avg 15.2% → last ⅓ avg 13.6%

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

0.14Best rating — ancient 13–5

13–3Biggest win — ancient

4Longest win streak

7–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 64% over 11anubisWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	20	10–10	50%	0.01
mirage	B	17	9–8	53%	-0.01
cache	C	16	7–9	44%	-0.01
dust2	A	14	8–6	57%	-0.00
anubis	C	11	4–7	36%	0.04
inferno	A	11	7–4	64%	0.01
nuke	A	11	7–4	64%	-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,365Lifetime kills

1.08K/D · Top 50% of Level 4 players

2,203Matches

50.5%Match win rate · Top 10% of Level 4 players

40.0%Headshot %

0.2%Shot accuracy

4,914MVPs

863Hours (in match)

1,949Bombs planted

741Bombs defused

Most-used weapons

AK-4712,964

M4A4 / M4A1-S8,115

P2000 / USP-S2,419

AWP2,396

Glock-182,005

MP91,951

MAC-101,752

Desert Eagle1,111

Galil AR700

Five-SeveN414

Lifetime map wins

3,886inferno

3,210nuke

2,767dust2

1,293vertigo

827train

16office

6italy

2ar_shoots

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

Faceit stats

Combat

19Matches

53%Win rate

1.16Avg K/D

86.4ADR

50%Headshot %

Clutches & streaks

31%1v1 clutch win

22%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	5	60%	1.17	17.4
Nuke	3	67%	0.94	14.3
Inferno	3	33%	0.89	14.0
Ancient	2	50%	1.70	26.0
Mirage	2	0%	0.34	4.5
Anubis	2	100%	1.82	23.0
Overpass	1	100%	2.00	12.0
Train	1	0%	0.94	16.0

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.

14.0%Headshot accuracy

32.9%Accuracy (enemy spotted)

33.3%Spray accuracy

80.2%Counter-strafing

8.9°Preaim

616msReaction time

25.7%T opening success

47.3%CT opening success

0.37Enemies flashed / flash

3.6%Flash assists

6.64HE damage / grenade

7.22Flashes / 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.

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 13.987% — 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 0.3717 — 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 25.7402% — 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.

36% win rate across 11 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
ancient	1–5	0.12	20%	29 Aug →
ancient	13–9	0.04	10%	29 Aug →
anubis	13–10	0.06	15%	29 Aug →
ancient	13–9	0.08	8%	29 Aug →
cache	8–13	-0.02	14%	29 Aug →
dust2	11–13	-0.01	11%	28 Aug →
dust2	16–13	0.02	19%	28 Aug →
dust2	2–13	-0.09	16%	28 Aug →
dust2	13–9	-0.01	13%	27 Aug →
anubis	13–5	0.01	7%	27 Aug →
cache	13–9	0.02	19%	27 Aug →
inferno	16–14	0.05	19%	27 Aug →
mirage	10–13	-0.05	18%	27 Aug →
anubis	8–13	-0.02	26%	27 Aug →
nuke	4–13	-0.02	20%	27 Aug →
cache	12–16	-0.02	13%	27 Aug →
mirage	9–13	-0.00	9%	26 Aug →
ancient	13–3	0.10	9%	26 Aug →
mirage	13–8	-0.01	16%	26 Aug →
cache	6–13	0.02	12%	26 Aug →
cache	13–11	0.01	10%	26 Aug →
nuke	13–5	0.08	18%	26 Aug →
mirage	13–8	0.00	15%	26 Aug →
anubis	5–13	-0.02	14%	25 Aug →
mirage	13–8	0.02	5%	25 Aug →
ancient	13–6	0.03	8%	25 Aug →
cache	2–13	-0.10	5%	25 Aug →
mirage	12–16	-0.02	13%	25 Aug →
mirage	13–3	0.04	15%	25 Aug →
dust2	7–13	-0.02	21%	25 Aug →
anubis	7–13	0.03	15%	25 Aug →
cache	9–13	-0.00	13%	24 Aug →
anubis	13–5	0.09	2%	23 Aug →
ancient	13–8	-0.04	10%	23 Aug →
mirage	5–13	-0.02	11%	23 Aug →
dust2	13–6	0.11	12%	23 Aug →
inferno	13–9	0.04	24%	23 Aug →
dust2	13–3	0.07	18%	23 Aug →
ancient	5–13	-0.05	10%	22 Aug →
ancient	5–13	-0.04	12%	22 Aug →
cache	12–16	-0.06	5%	22 Aug →
inferno	13–4	-0.01	18%	22 Aug →
inferno	13–6	0.07	21%	21 Aug →
dust2	7–13	-0.09	14%	21 Aug →
ancient	13–6	0.07	18%	21 Aug →
dust2	8–13	-0.07	13%	21 Aug →
dust2	13–8	-0.00	19%	21 Aug →
mirage	11–13	0.02	13%	21 Aug →
cache	8–13	-0.02	10%	21 Aug →
mirage	13–6	0.05	10%	20 Aug →
cache	9–13	-0.05	13%	20 Aug →
nuke	3–13	-0.07	22%	20 Aug →
ancient	8–13	0.03	16%	20 Aug →
ancient	13–7	-0.01	31%	20 Aug →
mirage	10–13	-0.04	13%	20 Aug →
nuke	16–13	0.05	14%	20 Aug →
anubis	11–13	0.10	17%	20 Aug →
nuke	13–11	0.03	9%	20 Aug →
nuke	11–13	-0.02	10%	20 Aug →
nuke	5–13	-0.07	11%	19 Aug →
dust2	16–13	0.01	13%	19 Aug →
dust2	11–13	-0.03	32%	19 Aug →
cache	6–13	0.02	15%	19 Aug →
cache	16–14	0.05	11%	19 Aug →
nuke	13–4	0.05	11%	19 Aug →
ancient	9–13	-0.04	22%	19 Aug →
cache	16–14	-0.00	13%	18 Aug →
mirage	13–5	0.03	16%	18 Aug →
inferno	10–13	-0.08	10%	18 Aug →
ancient	6–13	-0.04	24%	18 Aug →
mirage	13–8	-0.01	15%	18 Aug →
dust2	13–11	0.02	17%	18 Aug →
ancient	11–13	0.02	13%	18 Aug →
nuke	13–7	-0.01	13%	18 Aug →
inferno	13–10	0.06	11%	17 Aug →
cache	13–5	0.04	21%	17 Aug →
inferno	13–10	0.05	24%	17 Aug →
mirage	11–13	-0.04	15%	17 Aug →
mirage	1–13	-0.07	10%	17 Aug →
ancient	8–13	0.03	15%	17 Aug →
ancient	11–13	-0.04	8%	17 Aug →
inferno	13–7	-0.02	16%	17 Aug →
inferno	15–15	-0.05	9%	17 Aug →
nuke	13–8	0.01	12%	17 Aug →
ancient	13–8	-0.07	17%	16 Aug →
cache	13–9	0.02	12%	16 Aug →
anubis	13–9	0.04	9%	16 Aug →
anubis	11–13	0.03	13%	16 Aug →
dust2	13–6	0.04	16%	16 Aug →
inferno	7–13	0.03	22%	16 Aug →
mirage	13–10	-0.09	3%	16 Aug →
anubis	10–13	0.07	19%	15 Aug →
inferno	5–13	0.00	35%	15 Aug →
cache	13–11	-0.01	11%	15 Aug →
ancient	13–5	0.14	24%	15 Aug →
ancient	10–13	-0.06	7%	15 Aug →
ancient	13–10	-0.00	15%	15 Aug →
mirage	13–8	0.04	20%	15 Aug →
nuke	13–10	-0.02	13%	14 Aug →
anubis	7–13	0.07	18%	14 Aug →