✪ Ⓢoy sordo ♿💎 — CS2 Stats

ES76561198193232621[U:1:232966893]Steam profile ↗✓ No bans

2,817Tracked matches48%Win rate2020Tracked since

CSDB Rating6.6 SolidSupport

Premier CS Rating11,383Blue band · top ~47.6% of ranked players (population est.)

CSDB Leaderboard#180107 of 261550 tracked

WingmanMaster Guardian II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,383 -8,242 10 Sept – 13 Nov · 17 days played

19,625Peak Premier in tracked matches

16Days played since 2026-09-10

Premier CS Rating

8,242 below peak (19,625)
Next: Purple band at 15,000 — 3,617 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-10
Blue band first seen 2026-09-10

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim81

Positioning57

Utility72

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateTLLLWLWWLW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +4.7pp headshot accuracy · +41ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–3–1 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 33%
Avg reaction 685ms

Last 10

4–5–1 · 40% win rate
Avg rating 0.03
Avg headshot accuracy 28%
Avg reaction 662ms

Last 20

9–9–2 · 45% win rate
Avg rating 0.02
Avg headshot accuracy 26%
Avg reaction 641ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim8.1

Utility7.2

Positioning5.7

Opening Duels4.4

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 661ms 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

Aim8.1

Positioning5.7

Utility7.2

Mechanics8.4

Opening Duels5.9

Win Impact4.4

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time648ms+15ms

first ⅓ avg 632ms → last ⅓ avg 648ms

Headshot accuracy25.5%+1.7%

first ⅓ avg 23.9% → last ⅓ avg 25.5%

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.

Personal bests

0.28Best match rating · 9–1 · inferno, 3 Nov →

65%Best headshot accuracy · 6–13 · inferno, 29 Oct →

391msFastest reaction time · 4–9 · inferno, 3 Nov →

13–0Biggest win · cache, 26 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak

7–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 80% over 15nukeWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	23	12–11	52%	0.03
inferno	B	23	12–11	52%	0.03
cache	S	15	10–5	67%	0.04
mirage	S	15	12–3	80%	0.05
ancient	D	9	3–6	33%	0.01
anubis	S	9	7–2	78%	0.03
nuke	D	6	1–5	17%	0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.9%Headshot accuracy

38.7%Accuracy (enemy spotted)

37.1%Spray accuracy

87.6%Counter-strafing

10.4°Preaim

661msReaction time

52.1%T opening success

55.2%CT opening success

0.57Enemies flashed / flash

10.8%Flash assists

10.63HE damage / grenade

15.12Flashes / match

Recommended for you

Spend your practice time on Nuke

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	15–15	0.04	35%	13 Nov →
ancient	8–13	-0.02	33%	13 Nov →
nuke	9–13	0.04	21%	10 Nov →
dust2	4–13	-0.04	39%	9 Nov →
dust2	13–7	0.04	37%	9 Nov →
cache	9–13	0.03	22%	9 Nov →
dust2	13–5	0.12	21%	9 Nov →
cache	13–7	0.08	24%	9 Nov →
mirage	11–13	0.02	33%	7 Nov →
dust2	13–2	0.02	17%	6 Nov →
cache	13–9	0.03	20%	6 Nov →
inferno	9–13	0.04	18%	5 Nov →
dust2	4–13	0.01	25%	5 Nov →
cache	13–3	0.01	29%	5 Nov →
dust2	6–13	-0.00	22%	5 Nov →
anubis	16–12	0.08	20%	5 Nov →
inferno	13–7	0.04	33%	5 Nov →
cache	13–9	0.06	30%	5 Nov →
inferno	4–9	-0.15	29%	3 Nov →
inferno	8–8	-0.07	8%	3 Nov →
inferno	9–1	0.28	30%	3 Nov →
anubis	13–9	0.04	33%	3 Nov →
mirage	13–11	0.03	20%	3 Nov →
inferno	13–9	0.05	28%	3 Nov →
cache	3–13	-0.03	17%	3 Nov →
inferno	13–11	-0.00	22%	3 Nov →
anubis	7–13	0.02	25%	3 Nov →
mirage	4–13	-0.11	45%	2 Nov →
inferno	11–13	-0.02	26%	2 Nov →
inferno	8–13	0.02	20%	2 Nov →
dust2	11–13	-0.00	24%	2 Nov →
cache	10–13	0.04	24%	2 Nov →
mirage	13–7	0.18	16%	2 Nov →
dust2	13–8	0.02	23%	2 Nov →
anubis	13–7	0.05	17%	2 Nov →
mirage	16–13	0.09	28%	2 Nov →
dust2	9–0	0.12	36%	2 Nov →
anubis	5–13	-0.00	24%	1 Nov →
mirage	13–3	0.04	24%	1 Nov →
dust2	5–13	-0.06	28%	1 Nov →
inferno	6–13	-0.02	31%	1 Nov →
dust2	13–11	0.02	32%	1 Nov →
anubis	13–4	-0.03	16%	1 Nov →
mirage	13–9	0.14	29%	1 Nov →
anubis	16–13	-0.01	36%	31 Oct →
dust2	13–8	-0.00	15%	31 Oct →
dust2	8–13	0.00	27%	31 Oct →
nuke	3–13	-0.06	43%	31 Oct →
ancient	7–13	-0.03	21%	31 Oct →
inferno	13–3	0.03	17%	31 Oct →
anubis	13–8	0.02	21%	31 Oct →
mirage	16–13	0.06	22%	31 Oct →
mirage	13–3	0.09	36%	31 Oct →
dust2	13–8	0.04	33%	31 Oct →
ancient	13–7	0.06	28%	30 Oct →
dust2	13–5	-0.00	16%	30 Oct →
nuke	9–13	0.08	32%	29 Oct →
inferno	13–1	0.06	26%	29 Oct →
inferno	6–13	-0.06	65%	29 Oct →
dust2	10–13	0.00	22%	29 Oct →
dust2	13–5	0.06	23%	28 Oct →
dust2	11–13	0.06	21%	28 Oct →
cache	13–8	-0.03	22%	28 Oct →
ancient	4–13	0.04	13%	28 Oct →
cache	13–11	0.04	16%	28 Oct →
cache	16–14	0.02	30%	28 Oct →
dust2	8–13	0.05	40%	28 Oct →
anubis	13–8	0.08	13%	28 Oct →
inferno	6–13	0.04	19%	28 Oct →
nuke	13–4	-0.00	21%	28 Oct →
mirage	13–9	0.05	21%	28 Oct →
cache	2–13	0.00	9%	28 Oct →
inferno	13–11	0.05	14%	28 Oct →
ancient	4–13	-0.02	12%	27 Oct →
inferno	13–10	0.08	26%	27 Oct →
dust2	14–16	0.03	35%	27 Oct →
inferno	11–13	0.04	20%	27 Oct →
inferno	10–13	0.03	28%	27 Oct →
dust2	10–13	-0.01	22%	27 Oct →
inferno	13–9	0.00	21%	27 Oct →
ancient	16–14	-0.01	31%	27 Oct →
ancient	8–13	0.07	26%	27 Oct →
cache	13–7	0.11	20%	27 Oct →
ancient	8–2	0.06	12%	27 Oct →
nuke	6–13	0.01	26%	26 Oct →
mirage	13–6	0.02	18%	26 Oct →
ancient	11–13	-0.02	19%	26 Oct →
mirage	13–9	0.05	20%	26 Oct →
mirage	13–6	-0.00	40%	26 Oct →
inferno	13–10	0.11	34%	26 Oct →
dust2	13–2	0.23	39%	26 Oct →
cache	13–0	0.04	38%	26 Oct →
cache	13–10	0.19	20%	26 Oct →
inferno	13–9	0.08	20%	25 Oct →
cache	4–13	-0.01	30%	25 Oct →
inferno	13–8	0.05	14%	25 Oct →
mirage	10–13	0.03	37%	25 Oct →
mirage	13–7	0.05	33%	25 Oct →
inferno	8–13	0.02	32%	25 Oct →
dust2	13–10	0.01	20%	25 Oct →