Tio Ray — CS2 Stats

76561198098442055[U:1:138176327]Steam profile ↗✓ No bans

763Tracked matches48%Win rate2021Tracked since

1,276Hours in CS5Hrs last 2 wks

CSDB Rating4.7 Developing

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=388), 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 1 median	Level 2 median	vs Level 2
Headshot rate	45.9%	41.6%	40.9%	above
Shot accuracy	12.9%	14.1%	12.5%	above
Kill/death ratio	0.94	0.97	0.95	meets
Match win rate	35.7%	42.2%	42.4%	6.7% short

This profile matches the typical Level 2 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim49

Positioning50

Utility33

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateWWWWLWLLTW

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

Aim4.9

Aggression5.4

Utility3.3

Positioning5.0

Opening Duels1.5

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 80% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Reaction time. 733ms 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

Aim4.9

Positioning5.0

Utility3.3

Mechanics7.8

Opening Duels1.5

Win Impact4.4

Composite 4.7/10 (Developing), 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 rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time695ms−89ms

first ⅓ avg 783ms → last ⅓ avg 695ms

Headshot accuracy12.9%−0.3%

first ⅓ avg 13.2% → last ⅓ avg 12.9%

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 — mirage 11–3

13–3Biggest win — dust2

5Longest win streak

W4Current streak

10–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

dust2Best map · 51% over 51ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	51	26–25	51%	-0.01
mirage	C	30	12–18	40%	0.00
cache	B	6	3–3	50%	-0.02
ancient	D	5	1–4	20%	-0.04
inferno	—	4	2–2	50%	-0.05
anubis	—	2	2–0	100%	0.04
nuke	—	1	0–1	0%	-0.02
overpass	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,327Lifetime kills

0.94K/D

2,442Matches

35.7%Match win rate

45.9%Headshot % · Top 50% of Level 1 players

12.9%Shot accuracy

3,078MVPs

737Hours (in match)

1,513Bombs planted

326Bombs defused

Most-used weapons

AK-4712,179

M4A4 / M4A1-S10,238

AWP2,765

P2000 / USP-S2,573

Desert Eagle2,437

Glock-181,866

Galil AR1,182

AUG929

MP9836

FAMAS707

Lifetime map wins

6,311dust2

966inferno

686nuke

296train

129office

121vertigo

54lake

21safehouse

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

Faceit stats

Combat

13Matches

15%Win rate

0.40Avg K/D

—ADR

38%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLL

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.

13.3%Headshot accuracy

33.7%Accuracy (enemy spotted)

33.3%Spray accuracy

84.9%Counter-strafing

10.0°Preaim

733msReaction time

32.2%T opening success

39.6%CT opening success

0.56Enemies flashed / flash

7.7%Flash assists

8.79HE damage / grenade

3.48Flashes / 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 13.2571% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 733.0652ms — above the 700ms mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.4833 — below the 4 mark we flag
Grenade Lineups →

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.

20% win rate across 5 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
dust2	13–10	0.00	23%	26 Aug →
dust2	13–7	-0.03	13%	26 Aug →
dust2	13–9	0.02	18%	26 Aug →
dust2	2–0	-0.16	0%	26 Aug →
dust2	11–13	-0.03	18%	19 Aug →
anubis	13–8	0.06	9%	19 Aug →
dust2	7–13	-0.02	11%	19 Aug →
dust2	9–13	0.06	14%	19 Aug →
dust2	12–12	-0.11	14%	17 Aug →
dust2	13–11	-0.04	16%	12 Aug →
mirage	5–13	-0.04	19%	12 Aug →
mirage	10–13	0.02	17%	12 Aug →
mirage	11–13	-0.01	10%	12 Aug →
mirage	13–6	0.11	12%	6 Aug →
dust2	13–11	-0.02	9%	6 Aug →
dust2	9–13	-0.04	10%	29 Jul →
dust2	13–7	0.02	9%	29 Jul →
dust2	10–13	0.06	16%	29 Jul →
mirage	4–13	-0.07	19%	29 Jul →
ancient	2–13	-0.08	19%	29 Jul →
dust2	9–13	0.03	23%	22 Jul →
dust2	10–13	-0.02	9%	22 Jul →
mirage	9–13	-0.01	10%	22 Jul →
dust2	0–2	-0.11	0%	22 Jul →
dust2	13–10	-0.05	6%	21 Jul →
dust2	13–3	0.05	4%	21 Jul →
dust2	13–6	0.04	10%	21 Jul →
dust2	13–11	0.10	10%	17 Jul →
mirage	13–9	-0.02	13%	17 Jul →
dust2	5–13	-0.03	14%	17 Jul →
dust2	10–13	-0.04	12%	17 Jul →
dust2	13–4	0.09	19%	10 Jul →
cache	13–8	-0.07	19%	7 Jul →
dust2	2–13	-0.07	27%	7 Jul →
mirage	13–7	-0.03	14%	7 Jul →
dust2	6–13	0.04	19%	7 Jul →
dust2	3–13	-0.02	9%	7 Jul →
mirage	12–12	0.01	13%	7 Jul →
mirage	13–8	-0.04	12%	1 Jul →
dust2	13–5	0.02	20%	1 Jul →
dust2	0–13	-0.17	33%	1 Jul →
inferno	5–13	-0.11	4%	1 Jul →
dust2	2–13	-0.08	3%	1 Jul →
dust2	5–13	-0.04	8%	1 Jul →
mirage	6–13	0.02	15%	24 Jun →
mirage	8–13	0.09	11%	24 Jun →
inferno	5–13	-0.10	10%	24 Jun →
inferno	13–6	0.01	18%	24 Jun →
mirage	13–5	0.02	10%	24 Jun →
mirage	4–13	-0.06	9%	17 Jun →
dust2	10–13	-0.07	11%	17 Jun →
dust2	13–11	-0.04	5%	17 Jun →
inferno	16–12	-0.01	11%	10 Jun →
anubis	16–13	0.02	8%	10 Jun →
nuke	7–13	-0.02	11%	10 Jun →
overpass	5–13	-0.05	10%	7 Jun →
mirage	3–13	0.01	11%	7 Jun →
mirage	9–13	-0.04	14%	7 Jun →
mirage	13–10	0.08	8%	3 Jun →
mirage	13–10	0.03	14%	3 Jun →
dust2	13–6	-0.00	7%	3 Jun →
dust2	13–11	-0.04	17%	28 May →
ancient	13–9	-0.01	16%	27 May →
dust2	4–13	-0.02	7%	27 May →
mirage	0–6	0.00	0%	27 May →
mirage	5–13	-0.04	12%	27 May →
dust2	13–5	0.00	14%	22 May →
dust2	7–13	0.03	16%	20 May →
dust2	6–13	0.04	14%	20 May →
dust2	13–6	0.03	14%	20 May →
ancient	5–13	-0.01	15%	19 May →
mirage	4–13	-0.02	21%	19 May →
ancient	15–15	-0.03	6%	19 May →
mirage	13–5	0.02	20%	19 May →
dust2	13–11	-0.02	19%	13 May →
dust2	10–8	0.04	23%	13 May →
mirage	6–13	-0.03	11%	13 May →
mirage	9–13	-0.01	12%	13 May →
cache	9–13	-0.07	6%	13 May →
mirage	5–13	-0.09	7%	13 May →
dust2	8–9	-0.01	16%	6 May →
cache	13–11	-0.00	15%	6 May →
cache	2–13	0.00	16%	6 May →
dust2	5–13	-0.01	17%	6 May →
cache	4–13	-0.05	11%	6 May →
dust2	13–7	-0.02	4%	30 Apr →
dust2	13–5	-0.03	13%	30 Apr →
cache	13–5	0.05	8%	30 Apr →
mirage	11–3	0.17	19%	25 Apr →
dust2	11–13	0.01	10%	25 Apr →
ancient	8–13	-0.10	4%	25 Apr →
dust2	13–6	-0.02	7%	25 Apr →
dust2	13–7	-0.03	20%	22 Apr →
dust2	12–12	0.01	8%	22 Apr →
mirage	13–6	0.01	4%	15 Apr →
mirage	13–3	0.02	13%	15 Apr →
dust2	13–11	-0.04	13%	15 Apr →
dust2	13–7	-0.05	15%	15 Apr →
mirage	6–13	-0.03	25%	15 Apr →
mirage	13–4	-0.02	14%	8 Apr →