Toyo — CS2 Stats

76561199014934645[U:1:1054668917]Steam profile ↗✓ No bans

1,841Tracked matches53%Win rate2021Tracked since

CSDB Rating7.1 StrongAggressive Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim91

Positioning58

Utility59

0–100 skill scores via Leetify.

Recent form

HOT54–44–2Last 10054%Win rateWLWWWLLWWW

Last 10 vs previous 10: +30pp win rate · +0.06 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.1

Aggression8.5

Utility5.9

Positioning5.8

Opening Duels4.5

Clutch3.4

Sharp aimerStrong CT-side opener

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 donk 95% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower 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 91 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 56% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 560ms 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

Aim9.1

Positioning5.8

Utility5.9

Mechanics8.3

Opening Duels4.5

Win Impact6.1

Composite 7.1/10 (Strong), 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 rating0.04+0.04

first ⅓ avg 0.00 → last ⅓ avg 0.04

Reaction time573ms−13ms

first ⅓ avg 586ms → last ⅓ avg 573ms

Headshot accuracy22.5%+4.8%

first ⅓ avg 17.6% → last ⅓ avg 22.5%

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

0.33Best rating — office 13–3

13–0Biggest win — stronghold

6Longest win streak

8–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 86% over 7dust2Weakest map · 22% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	18	4–14	22%	0.00
mirage	B	15	8–7	53%	0.00
inferno	S	15	11–4	73%	0.03
overpass	S	10	8–2	80%	0.03
cache	A	7	4–3	57%	0.01
office	C	7	3–4	43%	0.08
anubis	S	7	6–1	86%	0.05
ancient	B	6	3–3	50%	0.02
nuke	—	4	2–2	50%	0.03
train	—	3	0–3	0%	0.01
boulder	—	3	3–0	100%	0.11
fachwerk	—	2	1–1	50%	0.10
vertigo	—	2	0–2	0%	-0.01
stronghold	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

625Matches

53%Win rate

1.33Avg K/D

81.9ADR

40%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	69	74%	1.42	17.5
Ancient	50	48%	1.24	16.9
Dust2	46	43%	1.09	16.1
Overpass	36	61%	1.33	18.5
Mirage	27	52%	1.06	15.0
Anubis	18	56%	1.55	17.3
Nuke	15	40%	1.27	18.7
Cache	4	0%	0.96	15.3

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.

22.1%Headshot accuracy

41.5%Accuracy (enemy spotted)

45.0%Spray accuracy

87.2%Counter-strafing

9.7°Preaim

560msReaction time

40.2%T opening success

55.8%CT opening success

0.66Enemies flashed / flash

8.3%Flash assists

5.36HE damage / grenade

8.65Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–6	0.07	26%	26 Aug →
train	1–5	0.10	21%	21 Aug →
office	13–3	0.33	22%	21 Aug →
overpass	13–11	0.12	19%	21 Aug →
cache	13–11	-0.06	19%	12 Aug →
train	7–13	-0.08	17%	12 Aug →
train	10–13	0.02	17%	12 Aug →
mirage	13–11	0.06	25%	9 Aug →
boulder	13–9	0.14	21%	29 Jul →
fachwerk	13–7	0.13	23%	29 Jul →
mirage	6–13	0.05	29%	22 Jul →
inferno	10–13	-0.04	19%	22 Jul →
ancient	3–13	-0.02	31%	22 Jul →
mirage	0–13	-0.06	0%	22 Jul →
inferno	13–3	0.09	26%	22 Jul →
nuke	2–13	0.06	23%	18 Jul →
mirage	7–1	0.05	24%	18 Jul →
dust2	0–4	-0.09	25%	18 Jul →
office	13–7	0.04	22%	18 Jul →
anubis	13–2	0.16	27%	18 Jul →
nuke	2–13	-0.03	40%	18 Jul →
boulder	13–6	0.03	27%	18 Jul →
fachwerk	5–7	0.07	29%	17 Jul →
boulder	13–10	0.17	27%	17 Jul →
office	13–9	0.01	16%	8 Jul →
office	7–13	0.03	16%	8 Jul →
office	4–13	0.02	35%	8 Jul →
overpass	4–9	-0.04	9%	26 Jun →
mirage	10–13	-0.05	12%	25 Jun →
mirage	13–8	0.06	25%	25 Jun →
inferno	8–8	0.05	28%	25 Jun →
mirage	13–9	-0.00	12%	15 Jun →
cache	13–11	-0.00	30%	12 Jun →
dust2	7–13	0.04	23%	12 Jun →
dust2	10–13	-0.02	16%	11 Jun →
inferno	13–11	0.06	19%	1 Jun →
cache	7–13	0.12	24%	13 May →
cache	3–13	0.00	28%	13 May →
office	5–13	0.12	34%	13 May →
office	1–9	0.02	27%	13 May →
nuke	13–1	0.11	37%	13 May →
cache	1–13	-0.07	45%	28 Apr →
cache	13–5	0.01	13%	28 Apr →
anubis	13–7	0.11	11%	26 Apr →
dust2	11–13	0.02	24%	24 Apr →
overpass	13–10	0.09	29%	24 Apr →
dust2	15–15	-0.02	13%	23 Apr →
ancient	5–13	-0.03	16%	23 Apr →
inferno	7–13	0.04	23%	22 Apr →
inferno	13–7	-0.08	11%	22 Apr →
inferno	13–9	0.10	10%	22 Apr →
mirage	13–5	0.09	16%	21 Apr →
mirage	2–13	-0.03	20%	21 Apr →
ancient	8–13	-0.02	10%	21 Apr →
stronghold	13–0	-0.00	22%	19 Apr →
inferno	13–7	0.06	23%	14 Apr →
vertigo	9–13	-0.01	11%	13 Apr →
vertigo	5–13	-0.02	18%	13 Apr →
dust2	6–13	-0.03	28%	13 Apr →
dust2	9–6	0.08	21%	13 Apr →
ancient	13–11	0.04	15%	11 Apr →
ancient	13–10	0.09	19%	11 Apr →
inferno	13–2	0.14	22%	11 Apr →
inferno	13–10	0.08	17%	11 Apr →
inferno	13–11	-0.01	25%	10 Apr →
dust2	8–13	0.03	18%	10 Apr →
ancient	13–7	0.10	23%	10 Apr →
dust2	7–13	0.01	23%	8 Apr →
overpass	13–5	0.08	19%	8 Apr →
dust2	11–13	-0.02	24%	8 Apr →
overpass	13–7	0.01	25%	8 Apr →
anubis	6–13	0.02	24%	8 Apr →
nuke	13–10	-0.01	22%	8 Apr →
overpass	13–7	0.01	10%	8 Apr →
overpass	13–5	-0.02	6%	8 Apr →
overpass	13–16	-0.02	17%	2 Apr →
anubis	13–3	0.06	19%	2 Apr →
inferno	13–8	0.00	22%	2 Apr →
mirage	2–12	-0.02	10%	2 Apr →
dust2	10–13	-0.05	7%	2 Apr →
dust2	14–16	-0.02	24%	2 Apr →
mirage	13–9	0.00	11%	1 Apr →
mirage	13–7	0.01	15%	1 Apr →
mirage	6–13	-0.04	23%	1 Apr →
dust2	13–5	0.04	21%	1 Apr →
anubis	13–5	-0.04	17%	30 Mar →
inferno	16–13	0.01	24%	30 Mar →
dust2	11–13	0.00	25%	30 Mar →
mirage	7–13	-0.04	23%	30 Mar →
mirage	13–6	-0.02	9%	30 Mar →
anubis	13–9	0.07	20%	30 Mar →
dust2	11–13	-0.01	14%	30 Mar →
overpass	13–4	0.08	6%	30 Mar →
inferno	13–6	-0.00	11%	26 Mar →
dust2	13–11	0.05	19%	26 Mar →
anubis	16–13	0.01	19%	26 Mar →
dust2	2–13	-0.02	23%	26 Mar →
dust2	13–7	0.04	19%	26 Mar →
overpass	13–10	0.03	23%	25 Mar →
inferno	14–16	-0.02	12%	25 Mar →