ToxicDaisy — CS2 Stats

76561198143918185[U:1:183652457]Steam profile ↗✓ No bans

390Tracked matches59%Win rate2020Tracked since

1,415Hours in CS

CSDB Rating4.1 Developing

Ladder ranks via Leetify

Performance scores

Aim29

Positioning45

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY40–54–6Last 10040%Win rateWTLWWWWWLL

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

Player DNA

Aim2.9

Aggression4.6

Utility4.3

Positioning4.5

Opening Duels1.1

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 78% 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

Reaction time. 724ms 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

Aim2.9

Positioning4.5

Utility4.3

Mechanics5.2

Opening Duels1.2

Win Impact8.1

Composite 4.1/10 (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-0.02+0.05

first ⅓ avg -0.07 → last ⅓ avg -0.02

Reaction time741ms+6ms

first ⅓ avg 734ms → last ⅓ avg 741ms

Headshot accuracy13.6%+3.8%

first ⅓ avg 9.8% → 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

0.08Best rating — mirage 13–9

13–1Biggest win — ancient

6Longest win streak

7–9In matches decided by ≤2 rounds

1Overtime games

Map breakdown

ancientBest map · 67% over 6cacheWeakest map · 32% over 19

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	31	11–20	35%	-0.05
dust2	C	25	10–15	40%	-0.05
cache	D	19	6–13	32%	-0.07
nuke	A	7	4–3	57%	-0.05
ancient	S	6	4–2	67%	-0.06
anubis	—	4	2–2	50%	-0.07
vertigo	—	4	1–3	25%	-0.09
inferno	—	2	2–0	100%	-0.06
overpass	—	2	0–2	0%	-0.08

Across the last 100 tracked matches.

Lifetime stats

47,335Lifetime kills

0.68K/D

5,041Matches

37.8%Match win rate

25.7%Headshot %

18.0%Shot accuracy · Top 10% of tracked players

3,644MVPs

1,415Hours (in match)

2,371Bombs planted

579Bombs defused

Most-used weapons

P9011,745

AK-477,584

M4A4 / M4A1-S3,958

AWP3,675

MP72,076

Desert Eagle1,921

Knife1,881

P2000 / USP-S1,433

Negev1,385

Galil AR1,156

Lifetime map wins

3,336inferno

2,809dust2

1,776nuke

1,451office

1,409vertigo

1,089italy

1,065train

321militia

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

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

31.0%Accuracy (enemy spotted)

33.7%Spray accuracy

73.3%Counter-strafing

12.5°Preaim

724msReaction time

29.8%T opening success

39.4%CT opening success

0.59Enemies flashed / flash

5.4%Flash assists

6.98HE damage / grenade

7.70Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.4648° — above the 12° mark we flag
Aim Training →
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 13.3321% — 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 723.6182ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Cache

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

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–11	-0.03	8%	16 Jul →
dust2	12–12	-0.04	15%	16 Jul →
mirage	11–13	0.01	9%	16 Jul →
mirage	13–9	0.08	29%	15 Jul →
mirage	13–3	0.05	15%	14 Jul →
mirage	13–7	0.07	19%	14 Jul →
mirage	13–7	-0.04	13%	14 Jul →
dust2	13–10	0.01	15%	14 Jul →
mirage	9–13	-0.08	6%	12 Jul →
dust2	6–13	-0.00	15%	12 Jul →
dust2	8–13	0.01	16%	11 Jul →
dust2	13–7	0.02	6%	11 Jul →
dust2	13–6	-0.05	13%	11 Jul →
mirage	12–16	-0.03	20%	10 Jul →
nuke	13–2	-0.04	21%	10 Jul →
mirage	13–4	-0.01	9%	10 Jul →
mirage	13–5	0.03	4%	9 Jul →
dust2	13–4	-0.04	8%	9 Jul →
ancient	13–1	0.03	14%	9 Jul →
dust2	13–7	-0.05	33%	9 Jul →
nuke	12–12	-0.00	4%	9 Jul →
mirage	13–7	0.01	12%	9 Jul →
cache	12–12	-0.02	11%	9 Jul →
dust2	11–13	0.05	14%	9 Jul →
mirage	9–13	-0.04	0%	8 Jul →
ancient	0–13	-0.08	13%	8 Jul →
ancient	6–13	-0.12	30%	8 Jul →
ancient	13–7	-0.09	10%	8 Jul →
anubis	8–13	-0.04	15%	7 Jul →
nuke	2–13	-0.03	7%	7 Jul →
nuke	13–11	-0.09	18%	6 Jul →
cache	11–13	-0.06	17%	6 Jul →
mirage	5–13	-0.09	12%	6 Jul →
dust2	1–13	-0.06	6%	6 Jul →
dust2	13–2	-0.07	7%	6 Jul →
dust2	10–13	-0.12	0%	6 Jul →
mirage	11–13	-0.07	10%	4 Jul →
anubis	13–5	-0.06	10%	4 Jul →
vertigo	7–13	-0.13	13%	4 Jul →
mirage	2–13	-0.12	17%	2 Jul →
dust2	3–13	-0.04	27%	2 Jul →
mirage	5–13	-0.07	0%	2 Jul →
anubis	13–11	-0.07	26%	2 Jul →
ancient	13–11	-0.02	36%	2 Jul →
cache	13–1	-0.04	32%	1 Jul →
dust2	6–13	-0.04	27%	30 Jun →
dust2	11–13	0.00	16%	30 Jun →
vertigo	13–10	-0.04	11%	28 Jun →
mirage	11–13	-0.04	21%	27 Jun →
dust2	8–13	-0.11	5%	27 Jun →
ancient	13–3	-0.05	0%	27 Jun →
mirage	4–13	-0.05	11%	26 Jun →
mirage	13–11	-0.06	8%	21 Jun →
vertigo	11–13	-0.09	7%	17 Jun →
dust2	6–13	-0.15	0%	17 Jun →
cache	12–12	-0.10	11%	16 Jun →
anubis	3–13	-0.13	25%	3 Jun →
mirage	7–13	-0.13	9%	3 Jun →
mirage	12–12	-0.02	15%	22 May →
mirage	7–13	-0.10	13%	22 May →
dust2	2–13	-0.05	5%	18 May →
overpass	11–13	-0.06	10%	16 May →
cache	10–13	-0.08	13%	16 May →
dust2	12–12	-0.06	15%	16 May →
mirage	8–13	-0.07	15%	16 May →
nuke	13–4	-0.01	11%	16 May →
dust2	13–7	-0.06	8%	15 May →
vertigo	11–13	-0.08	10%	14 May →
mirage	3–13	-0.11	10%	14 May →
mirage	5–13	0.03	19%	13 May →
dust2	13–7	0.01	18%	13 May →
dust2	13–4	-0.04	27%	13 May →
cache	4–13	-0.11	8%	13 May →
cache	3–13	-0.08	10%	10 May →
cache	5–13	-0.04	11%	7 May →
cache	8–13	-0.08	8%	7 May →
cache	13–11	-0.07	20%	7 May →
cache	8–13	-0.07	10%	5 May →
dust2	9–13	-0.09	9%	5 May →
mirage	3–13	-0.11	0%	4 May →
mirage	13–6	-0.05	4%	4 May →
overpass	2–13	-0.10	17%	4 May →
mirage	13–8	-0.08	0%	3 May →
cache	13–3	-0.07	11%	3 May →
inferno	13–8	-0.09	7%	3 May →
mirage	0–13	-0.14	0%	2 May →
nuke	13–5	-0.08	11%	30 Apr →
cache	3–13	-0.05	11%	30 Apr →
cache	2–0	-0.08	0%	30 Apr →
nuke	1–13	-0.06	0%	30 Apr →
mirage	13–7	-0.10	10%	30 Apr →
cache	0–13	-0.11	11%	29 Apr →
cache	7–13	-0.09	3%	29 Apr →
dust2	13–7	-0.07	14%	29 Apr →
cache	13–2	-0.06	4%	29 Apr →
cache	13–1	-0.03	3%	29 Apr →
cache	10–13	-0.10	11%	29 Apr →
dust2	6–13	-0.09	5%	27 Apr →
mirage	4–13	-0.12	14%	27 Apr →
mirage	1–13	-0.09	29%	25 Apr →