Toady — CS2 Stats

HK76561198811178565[U:1:850912837]Steam profile ↗

1,577Tracked matches64%Win rate2020Tracked since

CSDB Rating7.2 StrongAggressive Rifler

Premier CS Rating30,369Top 1% of 819 CSDB-tracked playersGold band · top ~0.6% of ranked players (population est.)

CSDB Leaderboard#31 of 9832 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanThe Global Elite

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

Aim74

Positioning63

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY66–31–3Last 10066%Win rateWWWLWLTTLW

Last 10 vs previous 10: -10pp win rate · +0.04 avg rating

Player DNA

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

Aim7.4

Aggression10.0

Utility5.5

Positioning6.3

Opening Duels5.8

Clutch3.0

Strong 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 sh1ro 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

Strengths

CT openings. 74% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 74% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms 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

Aim7.4

Positioning6.3

Utility5.5

Mechanics6.9

Opening Duels5.4

Win Impact9.8

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time612ms−43ms

first ⅓ avg 656ms → last ⅓ avg 612ms

Headshot accuracy20.8%−3.5%

first ⅓ avg 24.3% → last ⅓ avg 20.8%

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

0.25Best rating — mirage 13–7

13–0Biggest win — dust2

7Longest win streak

W3Current streak

12–3In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 89% over 9infernoWeakest map · 50% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	37	24–13	65%	0.01
dust2	S	24	17–7	71%	-0.00
ancient	S	9	8–1	89%	-0.03
office	A	8	5–3	63%	0.04
nuke	S	7	6–1	86%	0.02
inferno	B	6	3–3	50%	-0.04
train	—	3	1–2	33%	0.05
shelter	—	2	1–1	50%	0.13
cache	—	1	0–1	0%	-0.06
anubis	—	1	0–1	0%	-0.01
fachwerk	—	1	0–1	0%	-0.07
boulder	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

666Matches

51%Win rate

1.13Avg K/D

76.2ADR

39%Headshot %

Clutches & streaks

35%1v1 clutch win

21%1v2 clutch win

16Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	85	53%	1.15	15.9
Dust2	46	57%	1.14	15.3
Ancient	40	45%	1.02	15.1
Anubis	33	55%	1.06	16.2
Vertigo	27	56%	1.06	14.7
Nuke	20	50%	1.22	18.4
Inferno	19	47%	1.11	16.6
Overpass	11	64%	1.07	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.

20.5%Headshot accuracy

33.7%Accuracy (enemy spotted)

38.4%Spray accuracy

81.0%Counter-strafing

8.6°Preaim

619msReaction time

32.8%T opening success

73.9%CT opening success

0.50Enemies flashed / flash

11.7%Flash assists

9.93HE damage / grenade

8.68Flashes / 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 0.4976 — 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 32.8244% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–7	0.00	17%	25 Aug →
dust2	13–3	0.05	39%	20 Aug →
dust2	13–11	0.04	21%	19 Aug →
dust2	8–13	0.01	18%	18 Aug →
train	13–10	0.03	40%	13 Aug →
train	4–13	0.07	38%	13 Aug →
train	12–12	0.05	23%	12 Aug →
dust2	12–12	0.01	15%	12 Aug →
dust2	9–13	0.06	29%	12 Aug →
ancient	19–17	0.02	23%	11 Aug →
mirage	14–16	-0.03	26%	8 Aug →
cache	8–13	-0.06	11%	7 Aug →
mirage	13–9	0.02	18%	7 Aug →
dust2	16–19	-0.02	5%	6 Aug →
mirage	7–13	-0.02	22%	6 Aug →
ancient	13–11	-0.02	26%	6 Aug →
mirage	13–10	-0.06	29%	5 Aug →
mirage	13–7	0.05	28%	5 Aug →
mirage	13–4	0.10	38%	5 Aug →
dust2	13–11	-0.02	14%	4 Aug →
mirage	9–13	0.01	10%	4 Aug →
mirage	13–7	0.05	14%	2 Aug →
dust2	13–2	0.03	19%	1 Aug →
anubis	15–19	-0.01	12%	26 Jul →
office	13–7	-0.02	17%	23 Jul →
office	13–5	0.05	21%	21 Jul →
dust2	13–6	-0.06	15%	19 Jul →
mirage	13–8	0.04	10%	17 Jul →
shelter	13–5	0.14	16%	13 Jul →
office	5–13	0.01	21%	13 Jul →
fachwerk	6–13	-0.07	15%	12 Jul →
shelter	9–13	0.11	24%	11 Jul →
boulder	13–8	0.04	14%	9 Jul →
office	13–10	0.10	22%	9 Jul →
office	8–13	0.04	30%	9 Jul →
mirage	13–7	0.25	15%	7 Jul →
office	8–1	0.08	23%	6 Jul →
office	2–13	-0.01	7%	6 Jul →
inferno	1–13	-0.09	0%	5 Jul →
mirage	13–3	-0.07	6%	5 Jul →
ancient	13–7	0.04	19%	5 Jul →
mirage	13–6	-0.00	9%	5 Jul →
inferno	13–10	-0.05	18%	5 Jul →
nuke	13–6	0.05	13%	4 Jul →
dust2	8–13	-0.07	18%	4 Jul →
inferno	13–7	-0.03	11%	4 Jul →
nuke	13–7	0.00	24%	4 Jul →
mirage	4–13	-0.10	8%	4 Jul →
ancient	13–1	-0.10	20%	1 Jul →
dust2	13–2	-0.08	24%	1 Jul →
mirage	8–13	-0.07	21%	1 Jul →
dust2	13–0	0.01	18%	1 Jul →
dust2	13–5	0.04	25%	1 Jul →
dust2	13–11	0.01	11%	1 Jul →
inferno	13–7	-0.01	28%	1 Jul →
office	13–11	0.05	22%	30 Jun →
mirage	13–9	0.01	21%	29 Jun →
mirage	13–2	0.12	35%	29 Jun →
mirage	7–13	-0.00	22%	29 Jun →
mirage	11–13	0.05	15%	29 Jun →
mirage	13–3	-0.03	25%	29 Jun →
mirage	13–9	-0.03	50%	29 Jun →
nuke	13–5	-0.00	16%	29 Jun →
dust2	13–5	-0.04	15%	29 Jun →
dust2	13–7	0.03	10%	28 Jun →
ancient	8–13	-0.07	18%	28 Jun →
mirage	13–9	-0.07	9%	28 Jun →
mirage	13–6	0.01	18%	28 Jun →
nuke	8–3	0.07	21%	28 Jun →
mirage	13–9	0.13	56%	28 Jun →
mirage	10–13	-0.06	100%	28 Jun →
inferno	8–8	-0.05	18%	27 Jun →
ancient	13–11	-0.05	17%	27 Jun →
dust2	13–4	-0.01	23%	27 Jun →
mirage	13–11	-0.01	23%	27 Jun →
mirage	13–9	0.06	17%	27 Jun →
mirage	6–13	0.08	21%	27 Jun →
mirage	8–13	-0.01	15%	27 Jun →
mirage	3–13	0.01	9%	27 Jun →
dust2	11–13	-0.07	17%	27 Jun →
mirage	13–8	0.10	17%	26 Jun →
mirage	0–6	-0.04	0%	26 Jun →
mirage	13–5	0.04	19%	26 Jun →
mirage	2–0	0.09	67%	26 Jun →
dust2	13–2	-0.03	13%	26 Jun →
ancient	3–2	0.02	20%	26 Jun →
mirage	13–11	-0.03	20%	26 Jun →
dust2	13–10	0.01	24%	26 Jun →
nuke	13–8	-0.01	15%	25 Jun →
mirage	7–13	-0.12	12%	25 Jun →
dust2	13–7	-0.06	15%	25 Jun →
nuke	6–13	-0.01	31%	25 Jun →
ancient	13–10	-0.07	18%	25 Jun →
nuke	13–6	0.05	22%	25 Jun →
dust2	16–13	0.01	22%	25 Jun →
ancient	10–8	-0.02	13%	25 Jun →
dust2	13–0	0.06	23%	25 Jun →
mirage	13–5	0.05	27%	25 Jun →
dust2	3–13	-0.00	27%	25 Jun →
inferno	3–13	-0.03	44%	24 Jun →