cheekyypeach

cheekyypeach — CS2 Stats

US76561198782210898[U:1:821945170]Steam profile ↗✓ No bans

458Tracked matches50%Win rate2025Tracked since
CSDB Rating3.1 LearningPositional Player
Premier CS Rating2,641Grey band · top ~88.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 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: 2,641 -410 31 Aug – 15 Oct · 15 days played
2,0193,102peak 3,10231 Aug15 Oct
3,222Peak Premier in tracked matches
35Days played since 2026-08-12

Premier CS Rating

  • 461 below peak (3,102)
  • +153 over 30 days · steady
  • Next: Light Blue band at 5,000 — 2,359 to go

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

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CSDB.GGcheekyypeachPREMIER2,641 · Grey bandcsdb.gg/stats

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Performance scores

Aim37
Positioning32
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY38–58–4Last 10038%Win rateTLWLWWWLLW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +2.7pp headshot accuracy · +89ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 744ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 741ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 696ms

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 (+1.7 against its own average).

Aim3.7
Utility1.3
Positioning3.2
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

donk

Plays most like donk 86% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 710ms 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

Aim3.7
Positioning3.2
Utility1.3
Mechanics6.3
Opening Duels0.0
Win Impact5.0

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time701ms+7ms
first ⅓ avg 694ms → last ⅓ avg 701ms
Headshot accuracy14.9%+3.0%
first ⅓ avg 11.9% → last ⅓ avg 14.9%

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 · 13–4 · anubis, 29 Sept →
50%Best headshot accuracy · 0–13 · dust2, 20 Sept →
500msFastest reaction time · 14–16 · inferno, 22 Sept →
13–1Biggest win · mirage, 7 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 44% over 18infernoWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
infernoD216–1529%-0.06
mirageC188–1044%-0.04
dust2C177–1041%-0.04
nukeC125–742%-0.03
ancientC114–736%-0.05
anubisC94–544%-0.03
trainD62–433%-0.07
cache—31–233%-0.03
office—21–150%-0.03
vertigo—10–10%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Inferno 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.

14.9%Headshot accuracy
29.7%Accuracy (enemy spotted)
25.7%Spray accuracy
78.5%Counter-strafing
9.5°Preaim
710msReaction time
19.7%T opening success
30.3%CT opening success
0.21Enemies flashed / flash
0.7%Flash assists
6.36HE damage / grenade
0.41Flashes / 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. 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 14.9396% — below the 15% mark we flag

    Aim Training →
  2. 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 709.8147ms — above the 700ms mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2053 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage15–15-0.0128%15 Oct →
inferno8–13-0.039%13 Oct →
mirage13–6-0.0912%13 Oct →
train11–13-0.0516%11 Oct →
dust213–7-0.0315%9 Oct →
nuke13–6-0.0114%9 Oct →
nuke13–9-0.1112%8 Oct →
train10–13-0.0721%7 Oct →
dust24–13-0.1112%7 Oct →
train13–6-0.0431%7 Oct →
inferno12–12-0.0913%4 Oct →
inferno13–6-0.0421%3 Oct →
dust213–7-0.0221%3 Oct →
nuke4–13-0.0115%3 Oct →
ancient13–70.018%3 Oct →
nuke5–13-0.0613%2 Oct →
nuke6–13-0.0117%2 Oct →
inferno5–13-0.099%2 Oct →
dust27–13-0.0217%2 Oct →
anubis13–40.097%29 Sept →
dust26–130.0013%29 Sept →
inferno4–13-0.0813%29 Sept →
mirage6–13-0.0420%28 Sept →
cache13–11-0.057%28 Sept →
inferno13–50.0120%28 Sept →
inferno2–13-0.1017%27 Sept →
ancient13–7-0.075%27 Sept →
anubis13–3-0.0118%26 Sept →
mirage8–13-0.045%26 Sept →
dust213–11-0.0915%26 Sept →
inferno9–13-0.0227%26 Sept →
ancient10–13-0.089%26 Sept →
anubis11–13-0.0113%25 Sept →
dust25–13-0.0623%25 Sept →
cache7–130.0115%25 Sept →
nuke8–13-0.0018%25 Sept →
mirage5–13-0.0129%23 Sept →
vertigo6–130.0019%23 Sept →
nuke4–13-0.068%23 Sept →
inferno14–16-0.029%22 Sept →
mirage13–10-0.0913%22 Sept →
dust213–9-0.080%20 Sept →
dust20–13-0.0250%20 Sept →
anubis5–130.0125%20 Sept →
mirage16–14-0.0417%20 Sept →
mirage3–13-0.0621%20 Sept →
dust213–3-0.0324%20 Sept →
ancient7–13-0.0612%20 Sept →
inferno6–13-0.0617%20 Sept →
ancient13–6-0.0312%20 Sept →
nuke2–13-0.1013%20 Sept →
anubis11–13-0.0524%18 Sept →
mirage8–13-0.0717%18 Sept →
dust21–13-0.034%18 Sept →
ancient6–13-0.049%18 Sept →
anubis7–13-0.1115%14 Sept →
nuke13–7-0.005%14 Sept →
ancient10–13-0.113%14 Sept →
mirage7–13-0.017%14 Sept →
dust213–10-0.0223%14 Sept →
inferno1–13-0.107%12 Sept →
anubis7–13-0.107%12 Sept →
ancient1–13-0.0417%12 Sept →
anubis13–10-0.0614%8 Sept →
mirage13–7-0.0620%8 Sept →
train13–5-0.028%8 Sept →
nuke4–13-0.019%8 Sept →
inferno4–13-0.0817%8 Sept →
mirage13–10.0121%7 Sept →
inferno13–80.0122%7 Sept →
inferno5–13-0.107%6 Sept →
mirage12–12-0.0320%6 Sept →
mirage13–11-0.0112%5 Sept →
dust23–13-0.0222%5 Sept →
ancient7–130.0212%5 Sept →
inferno11–13-0.0512%5 Sept →
mirage8–13-0.0414%5 Sept →
train11–13-0.1110%5 Sept →
office13–10-0.0322%5 Sept →
mirage13–8-0.086%31 Aug →
dust213–11-0.086%31 Aug →
inferno13–11-0.1120%31 Aug →
nuke13–40.036%30 Aug →
anubis13–9-0.075%29 Aug →
inferno13–7-0.039%29 Aug →
office12–12-0.047%28 Aug →
mirage9–13-0.023%27 Aug →
ancient13–11-0.058%27 Aug →
train2–13-0.1017%26 Aug →
mirage13–10-0.0510%24 Aug →
dust29–13-0.0617%24 Aug →
inferno8–13-0.110%23 Aug →
dust211–13-0.049%23 Aug →
ancient3–13-0.0920%23 Aug →
nuke13–4-0.043%15 Aug →
inferno6–13-0.067%14 Aug →
dust28–13-0.0424%14 Aug →
inferno7–130.0014%14 Aug →
inferno13–10-0.096%12 Aug →
cache7–13-0.047%12 Aug →

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 →

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