Peach666 🦄 — CS2 Stats

IT76561198801352541[U:1:841086813]Steam profile ↗✓ No bans

2,286Tracked matches33%Win rate2021Tracked since

CSDB Rating4.8 DevelopingPositional Player

Premier CS Rating18,954Top 50% of 213,399 CSDB-tracked playersPurple band · top ~12.7% of ranked players (population est.)

CSDB Leaderboard#99924 of 259994 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 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: 18,954 +4,569 20 Oct – 4 Nov · 14 days played

19,054Peak Premier in tracked matches

17Days played since 2026-10-19

Premier CS Rating

At peak — 18,954
Next: Pink band at 20,000 — 1,046 to go
Reached: Purple band · Blue band · Light Blue band

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

Aim53

Positioning60

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY42–53–5Last 10042%Win rateLWLLWWLWLL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +5.1pp headshot accuracy · −10ms 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

2–3 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 18%
Avg reaction 625ms

Last 10

4–6 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 18%
Avg reaction 600ms

Last 20

7–13 · 35% win rate
Avg rating 0.01
Avg headshot accuracy 16%
Avg reaction 605ms

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: Positional Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim5.3

Utility5.5

Positioning6.0

Opening Duels4.2

Clutch4.6

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 m0NESY 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 60% on T to 43% on CT — first contacts on the defending side are being lost.

Reaction time. 603ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.3

Positioning6.0

Utility5.5

Mechanics4.3

Opening Duels5.3

Win Impact0.0

Composite 4.8/10 (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 rating0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time607ms+28ms

first ⅓ avg 579ms → last ⅓ avg 607ms

Headshot accuracy14.8%−1.4%

first ⅓ avg 16.2% → last ⅓ avg 14.8%

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.

Personal bests

0.15Best match rating · 13–2 · dust2, 1 Nov →

37%Best headshot accuracy · 1–13 · dust2, 30 Oct →

438msFastest reaction time · 4–13 · dust2, 20 Oct →

13–1Biggest win · nuke, 2 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak

9–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 60% over 15ancientWeakest map · 10% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	28	9–19	32%	-0.01
inferno	A	22	12–10	55%	0.02
mirage	A	15	9–6	60%	0.02
ancient	D	10	1–9	10%	-0.00
cache	B	8	4–4	50%	0.02
anubis	C	8	3–5	38%	0.00
nuke	B	6	3–3	50%	-0.00
overpass	—	3	1–2	33%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

98Matches

50%Win rate

1.00Avg K/D

75.6ADR

40%Headshot %

Clutches & streaks

43%1v1 clutch win

16%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	25	44%	0.89	12.8
Dust2	20	50%	0.98	13.6
Inferno	14	43%	0.90	13.6
Ancient	11	55%	1.06	17.3
Anubis	7	57%	1.01	16.1
Nuke	6	50%	0.86	13.3
Cache	3	100%	0.79	11.7
Train	1	0%	1.18	20.0

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.

14.6%Headshot accuracy

33.7%Accuracy (enemy spotted)

35.8%Spray accuracy

69.5%Counter-strafing

10.0°Preaim

603msReaction time

59.6%T opening success

43.0%CT opening success

0.52Enemies flashed / flash

7.7%Flash assists

9.21HE damage / grenade

7.97Flashes / 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.

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 14.6021% — below the 15% mark we flag
Aim Training →

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.

10% win rate across 10 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
cache	3–13	-0.05	10%	4 Nov →
dust2	13–8	0.02	32%	4 Nov →
inferno	7–13	0.03	16%	4 Nov →
dust2	9–13	-0.01	17%	4 Nov →
dust2	13–11	-0.07	14%	4 Nov →
mirage	13–10	-0.01	13%	4 Nov →
ancient	6–13	0.02	24%	4 Nov →
dust2	16–12	-0.02	18%	4 Nov →
cache	5–13	0.04	17%	4 Nov →
inferno	4–13	-0.03	21%	3 Nov →
dust2	8–13	0.03	20%	3 Nov →
inferno	11–13	0.03	10%	3 Nov →
nuke	13–1	0.02	18%	2 Nov →
inferno	13–6	0.00	11%	2 Nov →
anubis	5–13	-0.01	9%	2 Nov →
ancient	3–13	-0.02	11%	2 Nov →
dust2	8–13	0.00	9%	2 Nov →
mirage	13–9	0.08	21%	2 Nov →
anubis	11–13	0.01	16%	2 Nov →
dust2	9–13	0.08	7%	2 Nov →
dust2	10–13	-0.01	17%	1 Nov →
inferno	10–13	0.06	20%	1 Nov →
mirage	4–13	-0.06	15%	1 Nov →
dust2	13–2	0.15	13%	1 Nov →
overpass	2–13	-0.08	0%	1 Nov →
ancient	8–13	0.02	13%	1 Nov →
cache	9–13	0.01	9%	1 Nov →
mirage	10–13	0.01	11%	1 Nov →
inferno	4–9	-0.05	13%	1 Nov →
nuke	13–9	-0.03	11%	1 Nov →
inferno	13–11	0.01	12%	1 Nov →
cache	10–13	0.04	20%	31 Oct →
dust2	9–13	0.01	21%	31 Oct →
mirage	11–13	-0.03	20%	31 Oct →
overpass	8–13	-0.02	13%	31 Oct →
ancient	9–13	-0.03	14%	30 Oct →
dust2	1–13	-0.00	37%	30 Oct →
mirage	13–8	0.02	23%	30 Oct →
overpass	13–7	0.07	16%	30 Oct →
inferno	13–10	-0.06	11%	29 Oct →
mirage	9–13	0.03	11%	28 Oct →
anubis	7–13	0.06	13%	28 Oct →
mirage	13–2	0.00	8%	28 Oct →
dust2	13–7	0.04	20%	28 Oct →
inferno	16–12	0.01	8%	28 Oct →
anubis	10–13	0.01	19%	28 Oct →
dust2	13–9	-0.02	19%	27 Oct →
dust2	6–13	-0.05	17%	27 Oct →
cache	13–6	0.03	5%	27 Oct →
mirage	12–12	0.00	17%	26 Oct →
anubis	9–13	-0.05	6%	25 Oct →
mirage	7–13	-0.02	16%	25 Oct →
dust2	4–13	-0.07	22%	25 Oct →
inferno	9–13	0.00	16%	25 Oct →
dust2	13–11	-0.03	4%	25 Oct →
nuke	15–15	0.01	11%	25 Oct →
inferno	6–13	-0.06	13%	25 Oct →
inferno	13–8	-0.00	13%	25 Oct →
inferno	9–4	0.11	12%	25 Oct →
inferno	13–9	0.08	17%	24 Oct →
dust2	7–13	-0.07	7%	24 Oct →
ancient	14–16	-0.07	16%	23 Oct →
inferno	8–13	0.02	18%	23 Oct →
dust2	1–13	-0.05	21%	23 Oct →
dust2	12–12	-0.04	11%	23 Oct →
cache	13–1	0.05	17%	23 Oct →
anubis	13–4	-0.02	18%	22 Oct →
anubis	13–11	0.01	9%	22 Oct →
mirage	13–9	0.01	8%	22 Oct →
cache	13–7	-0.03	13%	22 Oct →
inferno	13–7	0.02	16%	22 Oct →
ancient	5–13	0.02	14%	22 Oct →
cache	13–4	0.03	29%	22 Oct →
nuke	11–13	0.09	13%	22 Oct →
ancient	8–13	0.03	21%	22 Oct →
inferno	3–4	0.02	36%	22 Oct →
dust2	8–13	-0.03	15%	22 Oct →
ancient	9–13	0.01	11%	22 Oct →
dust2	13–8	-0.02	17%	22 Oct →
anubis	13–7	0.00	24%	22 Oct →
mirage	13–5	0.05	19%	22 Oct →
inferno	13–11	0.07	15%	21 Oct →
nuke	11–13	-0.08	11%	21 Oct →
dust2	9–13	-0.05	12%	21 Oct →
mirage	13–10	0.01	11%	21 Oct →
dust2	15–15	-0.02	22%	21 Oct →
inferno	13–11	0.04	12%	21 Oct →
nuke	16–14	-0.02	13%	21 Oct →
ancient	7–13	-0.03	14%	20 Oct →
dust2	16–14	0.05	18%	20 Oct →
mirage	13–6	0.04	19%	20 Oct →
inferno	7–13	-0.00	22%	20 Oct →
dust2	8–13	0.04	20%	20 Oct →
dust2	4–13	0.02	7%	20 Oct →
inferno	9–13	0.02	14%	20 Oct →
ancient	13–8	0.04	13%	20 Oct →
mirage	13–7	0.11	24%	20 Oct →
dust2	15–15	-0.04	11%	20 Oct →
inferno	13–6	0.02	7%	20 Oct →
dust2	11–13	-0.01	23%	19 Oct →