peachyleafy

peachyleafy — CS2 Stats

US76561198868001628[U:1:907735900]Steam profile ↗✓ No bans

427Tracked matches22%Win rate2021Tracked since
CSDB Rating2.5 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 427
−3.7ppWin rate · 25.9% → 22.2%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 50 days played since 29 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 1,097 -821 29 May19 Sept · 23 days played
1,0972,394peak 2,39429 May19 Sept
2,394Peak Premier in tracked matches
50Days played since 2026-05-29

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

Performance scores

Aim32
Positioning31
Utility24

0–100 skill scores via Leetify.

Recent form

COLD32626Last 10032%Win rateLWLWLLTLWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +4.0pp headshot accuracy · −38ms reaction

Win rate up 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

  • 23 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 634ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 633ms

Last 20

  • 4142 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 652ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim3.2
Utility2.4
Positioning3.1
Opening Duels0.0

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

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 627ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.2
Positioning3.1
Utility2.4
Mechanics3.8
Opening Duels0.3
Win Impact0.0

Composite 2.5/10 (Learning), 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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time638ms−12ms
first ⅓ avg 651ms → last ⅓ avg 638ms
Headshot accuracy16.3%+3.1%
first ⅓ avg 13.2% → last ⅓ avg 16.3%

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

0.09Best match rating · 14–16 · dust2, 31 Jul
28%Best headshot accuracy · 5–3 · dust2, 2 Aug
477msFastest reaction time · 13–4 · mirage, 20 Jul
13–2Biggest win · inferno, 2 Jun

Across the last 100 tracked matches.

Highlights

4Longest win streak
612In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 44% over 9anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D32112134%-0.04
mirageD1961332%-0.04
nukeC114736%-0.03
infernoC94544%-0.06
cacheD72529%-0.05
ancientD71614%-0.06
anubisD5050%-0.06
train31233%-0.05
overpass32167%-0.03
vertigo21150%-0.06
shelter1010%-0.03
office1010%-0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis 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.

15.8%Headshot accuracy
27.1%Accuracy (enemy spotted)
26.1%Spray accuracy
67.2%Counter-strafing
10.0°Preaim
627msReaction time
17.4%T opening success
32.1%CT opening success
0.55Enemies flashed / flash
2.1%Flash assists
6.33HE damage / grenade
2.35Flashes / 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.

  1. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.3519 — below the 4 mark we flag

    Grenade Lineups
  2. 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 17.3698% — below the 40% mark we flag

Spend your practice time on Anubis

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust214–16-0.0518%21 Sept
dust213–100.0026%20 Sept
dust27–13-0.0713%13 Sept
vertigo13–7-0.069%7 Sept
dust26–13-0.0416%3 Sept
anubis6–13-0.0921%3 Sept
anubis12–12-0.0319%30 Aug
nuke10–13-0.0313%30 Aug
cache13–4-0.0421%27 Aug
dust29–13-0.1019%23 Aug
mirage7–13-0.0612%23 Aug
nuke10–13-0.0313%22 Aug
mirage1–13-0.0916%19 Aug
train6–13-0.0814%18 Aug
dust213–6-0.0614%18 Aug
train12–12-0.077%15 Aug
dust22–13-0.1212%13 Aug
dust211–13-0.0812%13 Aug
mirage3–13-0.0921%9 Aug
anubis11–13-0.0816%9 Aug
cache7–13-0.0420%7 Aug
inferno16–13-0.0124%7 Aug
dust29–130.0125%5 Aug
dust21–13-0.0723%5 Aug
dust29–13-0.0511%5 Aug
inferno13–5-0.0624%4 Aug
ancient10–13-0.038%4 Aug
inferno7–13-0.0816%3 Aug
ancient12–12-0.096%3 Aug
nuke8–13-0.0612%2 Aug
dust213–100.0324%2 Aug
dust25–30.0828%2 Aug
nuke6–13-0.129%1 Aug
dust214–160.0915%31 Jul
inferno9–13-0.058%30 Jul
ancient7–13-0.0618%30 Jul
inferno3–13-0.1010%29 Jul
shelter10–13-0.0317%28 Jul
inferno10–13-0.0923%27 Jul
mirage6–13-0.0813%27 Jul
nuke13–110.037%26 Jul
anubis5–13-0.0428%26 Jul
mirage8–13-0.0117%26 Jul
dust27–13-0.0910%26 Jul
dust211–13-0.0216%26 Jul
dust27–13-0.0916%25 Jul
cache7–13-0.048%25 Jul
dust210–13-0.0619%24 Jul
mirage11–130.0325%24 Jul
mirage11–13-0.0316%22 Jul
dust211–13-0.087%22 Jul
cache13–11-0.0818%22 Jul
mirage13–3-0.0619%22 Jul
dust213–5-0.0811%22 Jul
nuke2–13-0.067%21 Jul
inferno15–15-0.079%21 Jul
ancient13–10-0.089%21 Jul
mirage13–30.0410%20 Jul
dust213–6-0.123%20 Jul
mirage13–4-0.0118%20 Jul
dust211–13-0.0315%19 Jul
vertigo3–13-0.0513%19 Jul
train13–11-0.0217%19 Jul
mirage14–16-0.0617%18 Jul
cache5–13-0.0310%17 Jul
dust29–13-0.0719%17 Jul
mirage7–13-0.0721%17 Jul
dust213–6-0.0322%17 Jul
dust213–60.007%17 Jul
nuke13–5-0.084%16 Jul
dust210–13-0.0926%16 Jul
mirage6–13-0.0911%16 Jul
mirage16–13-0.0420%15 Jul
ancient8–13-0.0618%14 Jul
dust213–80.0322%3 Jul
dust23–13-0.068%3 Jul
mirage13–100.0326%3 Jul
mirage14–16-0.0511%2 Jul
anubis14–16-0.078%29 Jun
inferno13–9-0.024%19 Jun
mirage13–9-0.0412%10 Jun
overpass13–110.048%8 Jun
office9–13-0.1015%8 Jun
dust213–10-0.0526%7 Jun
nuke8–13-0.057%7 Jun
dust213–6-0.0721%7 Jun
ancient12–12-0.0913%7 Jun
overpass7–13-0.0811%6 Jun
mirage13–16-0.118%6 Jun
overpass13–9-0.065%4 Jun
inferno13–2-0.027%2 Jun
dust212–12-0.0616%2 Jun
cache5–13-0.099%2 Jun
nuke13–11-0.0113%1 Jun
nuke6–130.0112%31 May
ancient10–13-0.0022%31 May
mirage8–13-0.0220%31 May
nuke13–90.0410%31 May
cache7–13-0.077%29 May
dust25–13-0.049%29 May

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →