chio — CS2 Stats

CA76561198091022239[U:1:130756511]Steam profile ↗✓ No bans

336Tracked matches48%Win rate2022Tracked since

CSDB Rating5.2 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim73

Positioning52

Utility40

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateLLWWLLWLTL

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

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

Aim7.3

Aggression6.2

Utility4.0

Positioning5.2

Opening Duels2.7

Clutch5.0

Excellent counter-strafing

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 Twistzz 87% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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.

Reaction time. 667ms 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

Aim7.3

Positioning5.2

Utility4.0

Mechanics8.5

Opening Duels2.7

Win Impact4.4

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time665ms+52ms

first ⅓ avg 613ms → last ⅓ avg 665ms

Headshot accuracy19.3%−0.9%

first ⅓ avg 20.2% → last ⅓ avg 19.3%

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

0.18Best rating — vertigo 13–1

13–0Biggest win — dust2

6Longest win streak

L2Current streak

7–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 63% over 8ancientWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	24	10–14	42%	-0.01
dust2	B	23	11–12	48%	-0.01
inferno	A	11	6–5	55%	-0.00
overpass	B	11	5–6	45%	0.00
cache	A	8	5–3	63%	0.00
anubis	B	8	4–4	50%	-0.01
nuke	B	6	3–3	50%	0.00
ancient	D	6	2–4	33%	-0.04
train	—	2	1–1	50%	0.03
vertigo	—	1	1–0	100%	0.18

Across the last 100 tracked matches.

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

Faceit stats

Combat

48Matches

38%Win rate

0.76Avg K/D

68.7ADR

42%Headshot %

Clutches & streaks

45%1v1 clutch win

13%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	16	19%	0.63	11.6
Ancient	7	57%	0.85	15.1
Dust2	5	40%	1.18	12.4
Anubis	3	33%	0.64	13.3
Inferno	3	67%	1.13	21.7
Overpass	2	100%	1.22	22.5

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.

19.2%Headshot accuracy

36.7%Accuracy (enemy spotted)

37.6%Spray accuracy

88.2%Counter-strafing

10.1°Preaim

667msReaction time

38.1%T opening success

43.1%CT opening success

0.46Enemies flashed / flash

10.4%Flash assists

6.97HE damage / grenade

6.21Flashes / 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 0.4565 — 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 38.1476% — 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 6 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	13–16	-0.11	12%	10 Aug →
cache	8–13	-0.06	12%	10 Aug →
dust2	13–7	0.03	8%	25 Jul →
anubis	13–4	0.05	10%	25 Jul →
train	8–13	-0.01	7%	22 Jul →
dust2	6–13	0.02	18%	22 Jul →
mirage	13–2	0.16	22%	22 Jul →
dust2	7–13	-0.03	9%	14 Jul →
nuke	15–15	-0.03	18%	26 Jun →
inferno	6–13	-0.03	25%	26 Jun →
inferno	16–13	0.02	17%	5 Jun →
mirage	4–13	0.01	6%	5 Jun →
cache	9–13	0.01	25%	5 Jun →
cache	13–4	-0.02	12%	3 Jun →
mirage	13–2	-0.04	18%	2 Jun →
dust2	13–10	0.07	17%	27 May →
dust2	13–0	-0.01	38%	25 May →
nuke	13–10	0.03	23%	25 May →
overpass	8–13	0.00	19%	16 May →
overpass	9–13	-0.04	20%	11 May →
overpass	11–13	0.02	30%	11 May →
mirage	10–13	-0.07	22%	11 May →
cache	13–11	0.06	33%	11 May →
overpass	13–11	0.02	25%	8 May →
inferno	7–13	0.01	29%	8 May →
cache	13–5	0.06	25%	6 May →
mirage	11–13	-0.04	23%	6 May →
ancient	13–2	-0.01	17%	6 May →
dust2	9–13	0.02	24%	5 May →
dust2	16–14	-0.01	15%	5 May →
mirage	13–11	-0.01	7%	5 May →
mirage	2–13	-0.10	20%	5 May →
mirage	5–0	0.15	33%	5 May →
mirage	13–7	0.01	26%	5 May →
anubis	13–11	-0.04	20%	5 May →
inferno	13–1	0.06	28%	5 May →
cache	13–8	0.02	13%	4 May →
mirage	13–0	0.10	26%	4 May →
dust2	7–13	-0.04	13%	4 May →
mirage	2–5	-0.04	23%	4 May →
nuke	13–10	0.01	18%	4 May →
cache	12–12	-0.01	17%	4 May →
dust2	10–13	0.01	24%	3 May →
cache	13–4	-0.01	25%	3 May →
anubis	9–13	-0.05	12%	21 Apr →
mirage	4–13	-0.11	13%	21 Apr →
anubis	16–13	-0.02	5%	21 Apr →
anubis	11–13	-0.06	24%	21 Apr →
dust2	9–13	-0.08	17%	20 Apr →
anubis	11–13	0.02	22%	20 Apr →
anubis	7–13	-0.05	16%	13 Apr →
mirage	13–2	-0.00	9%	13 Apr →
overpass	6–1	0.03	13%	13 Apr →
overpass	13–11	-0.02	12%	13 Apr →
nuke	13–11	0.03	11%	13 Apr →
dust2	5–13	0.04	21%	12 Apr →
dust2	13–9	0.05	16%	12 Apr →
mirage	6–13	0.02	28%	12 Apr →
vertigo	13–1	0.18	18%	11 Apr →
dust2	5–13	-0.09	3%	9 Apr →
ancient	10–13	-0.03	14%	9 Apr →
dust2	13–16	-0.03	24%	7 Apr →
ancient	13–6	-0.05	16%	7 Apr →
mirage	13–10	-0.02	17%	7 Apr →
anubis	9–0	0.05	30%	7 Apr →
inferno	9–13	-0.09	20%	7 Apr →
ancient	9–13	-0.01	8%	7 Apr →
inferno	13–3	0.09	17%	4 Apr →
overpass	2–13	-0.02	10%	4 Apr →
mirage	10–13	0.08	15%	4 Apr →
dust2	13–2	0.00	18%	4 Apr →
inferno	8–0	0.11	33%	4 Apr →
train	13–2	0.08	14%	4 Apr →
dust2	13–9	-0.03	21%	2 Apr →
mirage	12–12	-0.04	27%	30 Mar →
overpass	14–16	-0.03	33%	24 Mar →
dust2	13–0	-0.01	14%	24 Mar →
dust2	13–5	0.01	14%	23 Mar →
mirage	5–13	-0.02	34%	11 Nov →
ancient	13–16	-0.06	15%	11 Nov →
ancient	10–13	-0.07	13%	10 Nov →
overpass	10–13	0.03	20%	10 Nov →
dust2	10–13	-0.06	23%	10 Nov →
mirage	13–4	0.01	40%	10 Nov →
overpass	13–10	0.06	19%	9 Nov →
dust2	4–13	-0.04	14%	9 Nov →
mirage	10–13	0.01	23%	9 Nov →
inferno	4–13	-0.06	14%	8 Nov →
dust2	13–6	0.00	50%	8 Nov →
mirage	6–13	0.07	14%	8 Nov →
inferno	16–13	-0.04	7%	8 Nov →
inferno	13–3	0.00	21%	3 Nov →
overpass	13–7	-0.02	8%	3 Nov →
nuke	6–13	-0.01	17%	3 Nov →
dust2	11–13	-0.04	23%	3 Nov →
nuke	3–13	-0.02	21%	3 Nov →
mirage	13–10	-0.05	17%	3 Nov →
inferno	6–13	-0.07	19%	3 Nov →
dust2	13–7	-0.04	22%	3 Nov →
mirage	7–13	-0.12	17%	28 Oct →