peggy — CS2 Stats

US76561198240768696[U:1:280502968]Steam profile ↗✓ No bans

1,019Tracked matches57%Win rate2020Tracked since

CSDB Rating7.1 StrongPositional Player

Premier CS Rating15,142Purple band · top ~27.8% of ranked players (population est.)

CSDB Leaderboard#141053 of 252996 tracked

WingmanGold Nova Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−56Premier CS Rating · 15,198 → 15,142

Rating over time

Premier CS Rating: 15,142 +2,512 9 Sept – 18 Oct · 17 days played

15,774Peak Premier in tracked matches

29Days played since 2026-09-06

Premier CS Rating

632 below peak (15,774)
+1,144 over 30 days · improving
Next: Pink band at 20,000 — 4,858 to go
Reached: Purple band · Blue band · Light Blue band
Blue band first seen 2026-09-12
Light Blue band first seen 2026-09-12

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

Aim79

Positioning72

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY53–37–10Last 10053%Win rateTWWWWLLLLW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +3.2pp headshot accuracy · −5ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–0–1 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 17%
Avg reaction 591ms

Last 10

5–4–1 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 16%
Avg reaction 571ms

Last 20

12–7–1 · 60% win rate
Avg rating 0.03
Avg headshot accuracy 15%
Avg reaction 574ms

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 (+1.6 against its own average).

Aim7.9

Utility5.2

Positioning7.2

Opening Duels4.5

Limited utility dependence

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 donk 94% playstyle similarity

Most alike: positioning profile, 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

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 64% on T to 47% on CT — first contacts on the defending side are being lost.

Reaction time. 593ms 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

Aim7.9

Positioning7.2

Utility5.2

Mechanics7.6

Opening Duels6.5

Win Impact7.4

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 rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time596ms−2ms

first ⅓ avg 599ms → last ⅓ avg 596ms

Headshot accuracy13.7%−4.8%

first ⅓ avg 18.5% → last ⅓ avg 13.7%

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

0.24Best match rating · 13–4 · office, 10 Sept →

32%Best headshot accuracy · 3–13 · office, 7 Sept →

406msFastest reaction time · 13–3 · office, 12 Oct →

13–0Biggest win · office, 10 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak

8–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 71% over 7mirageWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
office	B	66	34–32	52%	0.05
dust2	A	13	8–5	62%	-0.00
mirage	C	8	3–5	38%	0.03
ancient	S	7	5–2	71%	0.02
cache	—	3	2–1	67%	-0.02
nuke	—	1	0–1	0%	-0.09
anubis	—	1	0–1	0%	-0.05
inferno	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 5 essential Mirage 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.

12.8%Headshot accuracy

38.4%Accuracy (enemy spotted)

40.7%Spray accuracy

84.4%Counter-strafing

7.8°Preaim

593msReaction time

64.4%T opening success

47.4%CT opening success

0.67Enemies flashed / flash

2.6%Flash assists

10.29HE damage / grenade

4.93Flashes / 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 12.8254% — below the 15% mark we flag
Aim Training →

Spend your practice time on Mirage

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	15–15	-0.09	8%	18 Oct →
mirage	13–8	0.07	20%	17 Oct →
dust2	13–11	0.01	11%	17 Oct →
office	13–6	0.04	23%	17 Oct →
office	6–1	0.14	21%	16 Oct →
anubis	8–13	-0.05	4%	16 Oct →
mirage	12–16	-0.02	20%	15 Oct →
mirage	5–13	0.06	14%	15 Oct →
dust2	8–13	-0.03	11%	15 Oct →
office	13–3	0.08	30%	12 Oct →
office	13–11	0.18	10%	11 Oct →
office	11–13	-0.02	11%	11 Oct →
mirage	13–6	0.12	11%	7 Oct →
office	13–1	-0.05	0%	7 Oct →
office	13–3	0.07	15%	7 Oct →
inferno	13–7	-0.03	14%	6 Oct →
office	13–5	0.07	5%	6 Oct →
dust2	13–7	0.20	18%	6 Oct →
office	0–13	-0.08	25%	6 Oct →
mirage	3–13	0.03	22%	6 Oct →
office	10–13	0.01	14%	6 Oct →
dust2	3–13	-0.03	15%	6 Oct →
ancient	14–16	0.03	9%	5 Oct →
dust2	13–11	0.00	9%	5 Oct →
ancient	13–8	0.06	8%	5 Oct →
office	11–13	0.02	13%	5 Oct →
office	13–2	0.15	11%	5 Oct →
ancient	13–5	0.06	9%	2 Oct →
office	12–12	0.03	4%	1 Oct →
cache	1–13	-0.06	9%	1 Oct →
dust2	13–6	-0.02	24%	1 Oct →
dust2	10–13	-0.05	14%	1 Oct →
office	13–9	0.08	18%	1 Oct →
office	12–12	-0.04	13%	30 Sept →
office	13–1	0.11	18%	30 Sept →
office	13–8	0.02	25%	30 Sept →
office	6–13	0.03	21%	30 Sept →
office	13–11	-0.03	19%	29 Sept →
office	13–2	0.06	15%	29 Sept →
cache	13–5	-0.03	24%	29 Sept →
office	11–13	-0.00	10%	28 Sept →
office	13–3	0.06	12%	28 Sept →
dust2	4–13	-0.06	15%	28 Sept →
dust2	13–6	-0.05	11%	28 Sept →
office	13–6	0.03	21%	27 Sept →
office	13–7	0.01	20%	27 Sept →
office	9–13	0.06	6%	26 Sept →
office	9–13	0.04	29%	26 Sept →
dust2	13–11	-0.01	11%	26 Sept →
cache	13–6	0.04	11%	26 Sept →
mirage	15–15	0.03	20%	21 Sept →
office	13–3	0.11	11%	21 Sept →
office	8–13	0.12	17%	18 Sept →
office	12–12	0.03	17%	18 Sept →
mirage	13–8	0.02	21%	18 Sept →
ancient	16–14	0.01	16%	17 Sept →
office	13–9	0.11	28%	17 Sept →
office	12–12	0.14	27%	17 Sept →
office	6–13	-0.07	30%	17 Sept →
office	12–12	-0.02	12%	17 Sept →
office	12–12	0.05	18%	17 Sept →
office	10–13	0.05	13%	17 Sept →
office	9–13	0.01	22%	16 Sept →
office	13–8	0.01	24%	16 Sept →
office	13–5	0.03	12%	16 Sept →
ancient	13–11	-0.01	3%	16 Sept →
dust2	13–8	0.02	6%	16 Sept →
ancient	13–4	-0.01	15%	16 Sept →
mirage	4–13	-0.05	8%	16 Sept →
dust2	13–7	0.01	17%	16 Sept →
dust2	3–13	-0.00	21%	15 Sept →
office	5–13	0.10	12%	15 Sept →
office	13–7	0.04	16%	15 Sept →
office	13–3	0.06	25%	14 Sept →
office	12–12	0.07	17%	14 Sept →
office	11–13	-0.00	19%	14 Sept →
office	10–13	0.04	12%	12 Sept →
office	13–2	0.10	13%	12 Sept →
office	7–13	0.06	29%	12 Sept →
office	13–5	-0.03	28%	11 Sept →
office	13–6	0.15	27%	11 Sept →
office	13–4	0.00	11%	11 Sept →
office	9–13	-0.05	23%	11 Sept →
office	13–4	0.24	19%	10 Sept →
office	13–10	0.08	9%	10 Sept →
office	13–0	0.17	21%	10 Sept →
office	12–12	0.03	23%	9 Sept →
office	13–11	0.11	23%	9 Sept →
ancient	7–13	-0.02	24%	9 Sept →
office	10–13	-0.04	16%	8 Sept →
office	9–13	0.03	28%	8 Sept →
office	1–8	0.08	13%	8 Sept →
office	7–13	-0.01	8%	7 Sept →
office	3–13	0.00	32%	7 Sept →
office	13–5	-0.02	19%	7 Sept →
office	13–7	0.01	14%	7 Sept →
office	11–13	0.01	18%	7 Sept →
office	8–13	0.01	5%	6 Sept →
office	13–9	0.09	25%	6 Sept →
office	13–8	0.15	20%	6 Sept →