Peasy

Peasy — CS2 Stats

76561198017358276[U:1:57092548]Steam profile ↗✓ No bans

3,580Tracked matches60%Win rate2020Tracked since
CSDB Rating6.1 SolidSupport
Premier CS Rating22,122Top 50% of 204,097 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)
CSDB Leaderboard#52577 of 251170 tracked
FaceitLevel 8 · 1,551 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (33 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 22,122 → 22,122
0Faceit ELO · 1,551 → 1,551
+5Tracked matches · now 3,580
−3.3ppWin rate · 63.3% → 60.0%

Rating over time

Premier CS Rating: 22,122 -39 27 Jun – 7 Sept · 13 days played
19,82022,161peak 22,16127 Jun7 Sept
Faceit ELO: 1,551 +0 4 Sept – 7 Sept · 3 observations
1,5511,551peak 1,5514 Sept7 Sept
22,239Peak Premier in tracked matches
1,551Highest Faceit ELO seen on CSDB
39Days played since 2026-06-23

Faceit ELO

  • At peak — 1,551
  • Next: Level 9 at 1,751 — 200 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-04
  • Level 7 first seen 2026-09-04

Premier CS Rating

  • 39 below peak (22,161)
  • Next: Red band at 25,000 — 2,878 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-04
  • Purple band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGPeasyFACEITLevel 8 · 1,551 ELOSTANDINGTop 31.2% of rankedPREMIER22,122 · Pink bandPEAK ELO1,551csdb.gg/stats

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Performance scores

Aim71
Positioning49
Utility66

0–100 skill scores via Leetify.

Recent form

HOT53–46–1Last 10053%Win rateWWWLWWWWLL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +2.4pp headshot accuracy · −21ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 516ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 533ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 543ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim7.1
Utility6.6
Positioning4.9
Opening Duels3.7
Clutch3.2

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

device

Plays most like device 85% 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

Reaction time. 559ms 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

Aim7.1
Positioning4.9
Utility6.6
Mechanics4.6
Opening Duels3.4
Win Impact8.3

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time561ms−52ms
first ⅓ avg 613ms → last ⅓ avg 561ms
Headshot accuracy26.6%+0.1%
first ⅓ avg 26.5% → last ⅓ avg 26.6%

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

0.13Best match rating · 13–11 · inferno, 22 Aug →
59%Best headshot accuracy · 5–13 · dust2, 28 Aug →
383msFastest reaction time · 4–7 · nuke, 22 Aug →
13–2Biggest win · inferno, 24 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
18–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 78% over 9infernoWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B2512–1348%0.00
mirageA2314–961%-0.01
infernoC176–1135%0.02
anubisA159–660%0.01
ancientS97–278%0.02
cacheA85–363%0.01
nuke—30–30%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,216Matches
50%Win rate
1.07Avg K/D
77.3ADR
50%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage48747%1.0014.9
Anubis37544%1.0215.5
Inferno33057%1.1515.8
Dust232050%1.0715.3
Ancient31750%1.0315.7
Overpass6658%0.9413.3
Nuke4852%1.0213.6
Cache1560%0.9114.7

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.

26.4%Headshot accuracy
30.8%Accuracy (enemy spotted)
29.3%Spray accuracy
70.8%Counter-strafing
7.9°Preaim
559msReaction time
45.5%T opening success
42.1%CT opening success
0.60Enemies flashed / flash
7.2%Flash assists
10.65HE damage / grenade
13.86Flashes / match

Recommended for you

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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–70.0925%9 Sept →
mirage13–8-0.0328%3 Sept →
ancient16–140.0116%3 Sept →
dust29–13-0.0531%3 Sept →
inferno13–90.0223%1 Sept →
cache13–7-0.0322%1 Sept →
mirage13–5-0.0120%31 Aug →
dust213–40.0423%31 Aug →
dust25–130.0559%28 Aug →
mirage9–13-0.0237%28 Aug →
dust213–50.1242%28 Aug →
inferno11–130.0830%28 Aug →
inferno5–13-0.0645%28 Aug →
mirage13–4-0.0321%27 Aug →
inferno11–130.0218%27 Aug →
mirage13–100.0021%26 Aug →
anubis7–13-0.0417%26 Aug →
cache13–30.0731%26 Aug →
mirage5–130.0117%26 Aug →
dust213–30.0018%25 Aug →
nuke6–13-0.0233%25 Aug →
inferno13–10-0.0231%25 Aug →
cache13–10-0.0224%25 Aug →
anubis5–13-0.0329%25 Aug →
inferno3–13-0.0015%25 Aug →
dust24–130.0935%25 Aug →
ancient13–8-0.0021%25 Aug →
dust213–50.018%25 Aug →
dust213–30.0330%25 Aug →
mirage16–140.0230%25 Aug →
inferno13–7-0.0120%25 Aug →
inferno13–110.0830%25 Aug →
mirage16–140.0231%25 Aug →
nuke4–13-0.0420%24 Aug →
anubis7–5-0.018%24 Aug →
cache5–13-0.0019%24 Aug →
inferno13–20.0933%24 Aug →
ancient13–10-0.0019%24 Aug →
ancient13–11-0.0126%24 Aug →
anubis13–40.0727%24 Aug →
dust216–130.0422%24 Aug →
mirage8–20.0717%24 Aug →
anubis9–50.1017%24 Aug →
dust24–13-0.0911%24 Aug →
ancient7–130.0128%24 Aug →
dust21–13-0.0710%23 Aug →
mirage2–13-0.0915%23 Aug →
cache13–3-0.0317%23 Aug →
inferno6–130.0317%23 Aug →
cache1–13-0.0019%23 Aug →
inferno14–160.1121%22 Aug →
dust213–60.0947%22 Aug →
mirage13–9-0.0223%22 Aug →
dust211–13-0.0024%22 Aug →
mirage15–150.0333%22 Aug →
nuke4–7-0.0313%22 Aug →
inferno13–110.1321%22 Aug →
dust213–110.0124%21 Aug →
mirage9–130.0230%21 Aug →
anubis11–13-0.0520%20 Aug →
dust29–13-0.0416%18 Aug →
inferno17–19-0.0119%18 Aug →
anubis13–160.0322%17 Aug →
cache10–130.0932%17 Aug →
mirage13–80.0427%17 Aug →
anubis14–16-0.0816%17 Aug →
inferno10–130.0525%10 Aug →
dust213–110.0133%5 Aug →
dust213–110.0038%3 Aug →
cache13–11-0.0232%30 Jul →
anubis7–130.0242%28 Jul →
dust213–80.0120%28 Jul →
anubis13–8-0.0242%27 Jul →
dust21–13-0.1115%27 Jul →
inferno8–13-0.0445%21 Jul →
dust210–130.0222%21 Jul →
mirage13–11-0.0326%20 Jul →
anubis13–110.0323%20 Jul →
mirage16–140.0122%20 Jul →
inferno13–16-0.0227%19 Jul →
mirage10–130.0131%16 Jul →
dust210–130.0140%15 Jul →
anubis13–11-0.0133%15 Jul →
dust213–9-0.0319%14 Jul →
mirage5–13-0.0831%14 Jul →
anubis13–40.0621%13 Jul →
anubis13–7-0.0018%10 Jul →
ancient8–130.0428%8 Jul →
dust210–13-0.0321%6 Jul →
dust26–13-0.0226%6 Jul →
dust24–13-0.0623%3 Jul →
mirage19–16-0.0118%2 Jul →
ancient13–90.0215%1 Jul →
ancient19–17-0.0123%28 Jun →
inferno9–13-0.0426%28 Jun →
mirage13–6-0.0227%27 Jun →
mirage5–13-0.0729%27 Jun →
anubis13–11-0.0122%25 Jun →
mirage9–13-0.0414%24 Jun →
mirage13–11-0.0323%23 Jun →

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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