Peekachu

Peekachu — CS2 Stats

76561198055382260[U:1:95116532]Steam profile ↗✓ No bans

782Tracked matches48%Win rate2023Tracked since
1,937Hours in CS12Hrs last 2 wks
CSDB Rating5.6 SolidAll-Rounder
Premier CS Rating14,898Blue band · top ~28.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (23 days ago). 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: 14,898 +3,319 30 Jul – 23 Oct · 13 days played
11,57914,898peak 14,89830 Jul23 Oct
14,999Peak Premier in tracked matches
23Days played since 2026-07-30

Premier CS Rating

  • At peak — 14,898
  • +1,722 over 30 days · improving
  • +3,319 over 90 days
  • Next: Purple band at 15,000 — 102 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-24
  • Light Blue band first seen 2026-09-24

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate51.7%42.7%43.8%above
Shot accuracy3.3%11.2%12.0%8.7% short
Kill/death ratio0.970.991.020.05 short
Match win rate42.4%43.9%44.7%2.3% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPeekachuFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,898 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim67
Positioning61
Utility50

0–100 skill scores via Leetify.

Recent form

COLD47–47–6Last 10047%Win rateLTWLLLLLWL

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · +6.2pp headshot accuracy · +37ms 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 -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 583ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 535ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 19%
  • Avg reaction 516ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.7
Utility5.0
Positioning6.1
Opening Duels4.2
Clutch6.0

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

m0NESY

Plays most like m0NESY 88% 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

Strengths

T openings. 74% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 74% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 578ms 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

Aim6.7
Positioning6.1
Utility5.0
Mechanics5.6
Opening Duels6.5
Win Impact4.4

Composite 5.6/10 (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 rating-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time536ms−51ms
first ⅓ avg 588ms → last ⅓ avg 536ms
Headshot accuracy18.8%−2.8%
first ⅓ avg 21.7% → last ⅓ avg 18.8%

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

0.08Best match rating · 9–3 · nuke, 14 Aug →
72%Best headshot accuracy · 9–4 · vertigo, 9 Oct →
344msFastest reaction time · 4–9 · overpass, 16 Oct →
13–1Biggest win · cache, 9 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–10In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 79% over 14ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB2110–1148%-0.04
nukeC145–936%-0.05
cacheS1411–379%-0.02
mirageA148–657%-0.04
dust2C135–838%-0.03
vertigoD93–633%-0.03
overpassC52–340%-0.09
ancientD51–420%-0.00
anubis—31–233%0.01
office—21–150%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,595Lifetime kills
0.97K/D
3,444Matches
42.4%Match win rate
51.7%Headshot % · Top 25% of Level 4 players
3.3%Shot accuracy
6,418MVPs
920Hours (in match)
1,072Bombs planted
338Bombs defused

Most-used weapons

Lifetime map wins

4,585inferno
3,808nuke
3,075vertigo
1,817office
1,545dust2
702train
139italy
128lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

15Matches
47%Win rate
0.70Avg K/D
60.6ADR
47%Headshot %

Clutches & streaks

50%1v1 clutch win
25%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno450%0.8811.0
Ancient475%0.9012.0
Anubis20%0.366.0
Mirage250%0.649.0
Vertigo1100%0.7311.0
Overpass10%0.336.0
Nuke10%0.399.0

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.

18.8%Headshot accuracy
32.3%Accuracy (enemy spotted)
35.8%Spray accuracy
75.3%Counter-strafing
8.7°Preaim
578msReaction time
74.3%T opening success
42.0%CT opening success
0.54Enemies flashed / flash
7.5%Flash assists
7.80HE damage / grenade
8.09Flashes / match

Recommended for you

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0127%10 Nov →
vertigo8–80.0142%10 Nov →
inferno9–70.0419%10 Nov →
nuke1–9-0.196%10 Nov →
nuke10–130.0225%8 Nov →
cache11–13-0.0320%8 Nov →
overpass2–9-0.1410%8 Nov →
nuke4–9-0.0930%8 Nov →
inferno9–20.0424%8 Nov →
nuke3–13-0.0422%7 Nov →
cache6–13-0.0420%7 Nov →
dust210–130.0126%7 Nov →
dust213–8-0.0015%3 Nov →
vertigo5–9-0.1219%24 Oct →
mirage4–13-0.0916%23 Oct →
dust213–6-0.0717%23 Oct →
inferno13–11-0.0121%23 Oct →
nuke4–9-0.140%23 Oct →
inferno5–9-0.1914%23 Oct →
nuke7–9-0.1313%23 Oct →
vertigo8–8-0.0810%23 Oct →
cache13–80.0130%22 Oct →
anubis9–13-0.0119%22 Oct →
inferno13–40.0117%22 Oct →
mirage13–2-0.0916%22 Oct →
dust213–30.0316%22 Oct →
vertigo9–10.0431%22 Oct →
overpass9–0-0.0721%22 Oct →
inferno9–4-0.0721%22 Oct →
nuke8–8-0.118%22 Oct →
dust22–13-0.0816%21 Oct →
mirage7–13-0.0317%21 Oct →
inferno12–12-0.0315%21 Oct →
cache13–100.0114%21 Oct →
inferno3–9-0.1327%21 Oct →
nuke9–6-0.023%21 Oct →
vertigo8–80.0030%21 Oct →
overpass4–9-0.1514%16 Oct →
inferno6–9-0.0738%16 Oct →
nuke13–70.0122%13 Oct →
mirage11–130.0111%11 Oct →
ancient6–130.0217%11 Oct →
office13–50.0216%9 Oct →
dust213–9-0.0619%9 Oct →
cache13–10.017%9 Oct →
mirage7–13-0.0816%9 Oct →
office1–13-0.0911%9 Oct →
vertigo13–60.0726%9 Oct →
vertigo9–40.0272%9 Oct →
inferno7–9-0.1230%9 Oct →
overpass11–13-0.0925%15 Sept →
inferno13–11-0.0114%15 Sept →
dust21–13-0.1512%15 Sept →
cache13–4-0.0719%11 Sept →
mirage13–9-0.0225%11 Sept →
vertigo7–9-0.1127%11 Sept →
inferno6–9-0.0720%11 Sept →
cache13–90.0020%29 Aug →
inferno2–13-0.0017%29 Aug →
overpass6–20.0327%29 Aug →
mirage13–5-0.0120%29 Aug →
inferno7–13-0.0316%29 Aug →
dust26–13-0.0122%29 Aug →
ancient6–130.0116%29 Aug →
mirage13–11-0.0716%23 Aug →
mirage13–70.0517%23 Aug →
inferno11–13-0.0121%22 Aug →
mirage10–13-0.0418%22 Aug →
ancient7–130.0523%22 Aug →
cache13–11-0.0215%22 Aug →
inferno11–13-0.0322%19 Aug →
inferno11–13-0.0419%19 Aug →
anubis13–8-0.0025%19 Aug →
mirage13–16-0.0622%19 Aug →
mirage13–8-0.0319%16 Aug →
cache13–10-0.0615%16 Aug →
nuke13–11-0.0116%16 Aug →
mirage13–7-0.0716%16 Aug →
inferno9–4-0.1024%16 Aug →
nuke2–13-0.0639%14 Aug →
inferno13–6-0.0139%14 Aug →
cache13–4-0.0231%14 Aug →
mirage13–4-0.0728%14 Aug →
dust213–16-0.0626%14 Aug →
nuke9–30.0843%14 Aug →
inferno13–4-0.028%7 Aug →
cache13–60.0415%7 Aug →
anubis7–130.0630%7 Aug →
cache15–15-0.0119%7 Aug →
ancient0–13-0.0522%7 Aug →
nuke4–9-0.0536%4 Aug →
vertigo6–9-0.1223%4 Aug →
inferno9–30.0332%4 Aug →
dust28–13-0.076%4 Aug →
nuke13–7-0.0313%4 Aug →
cache13–3-0.0515%4 Aug →
dust29–13-0.0024%4 Aug →
dust213–80.0116%30 Jul →
ancient13–10-0.0411%30 Jul →
cache13–1-0.044%30 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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