pitoco

pitoco — CS2 Stats

76561198178895303[U:1:218629575]Steam profile ↗✓ No bans

3,057Tracked matches57%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
Premier CS Rating23,508Top 25% of 212,695 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)
CSDB Leaderboard#37985 of 259473 tracked
FaceitLevel 10 · 2,748 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 23,508 → 23,508
0Faceit ELO · 2,748 → 2,748
+10Tracked matches · now 3,057
0.0ppWin rate · 56.7% → 56.7%

Rating over time

Premier CS Rating: 23,508 +0 1 Jun – 25 Oct · 8 days played
23,50823,508peak 23,5081 Jun25 Oct
Faceit ELO: 2,748 +0 28 Aug – 25 Oct · 7 observations
2,7482,748peak 2,74828 Aug25 Oct
23,508Peak Premier in tracked matches
2,748Highest Faceit ELO seen on CSDB
46Days played since 2025-10-12

Faceit ELO

  • At peak — 2,748
  • 0 over 30 days · steady
  • Next: 3,000 ELO at 3,000 — 252 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-28
  • Level 10 first seen 2026-08-28

Premier CS Rating

  • At peak — 23,508
  • 0 over 30 days · steady
  • Next: Red band at 25,000 — 1,492 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

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.GGpitocoFACEITLevel 10 · 2,748 ELOSTANDINGTop 12.4% of rankedPREMIER23,508 · Pink band30 DAYS0 ELOPEAK ELO2,748csdb.gg/stats

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Performance scores

Aim75
Positioning57
Utility74

0–100 skill scores via Leetify.

Recent form

HOT62–38Last 10062%Win rateWWWWWLWLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −3.5pp headshot accuracy · −91ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 491ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 557ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 602ms

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 (+2.2 against its own average).

Aim7.5
Utility7.4
Positioning5.7
Opening Duels3.6
Clutch4.2

Effective flashes

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

ZywOo

Plays most like ZywOo 85% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

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

Aim7.5
Positioning5.7
Utility7.4
Mechanics6.9
Opening Duels3.3
Win Impact7.2

Composite 6.7/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time592ms−28ms
first ⅓ avg 621ms → last ⅓ avg 592ms
Headshot accuracy24.3%+1.5%
first ⅓ avg 22.7% → last ⅓ avg 24.3%

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

0.16Best match rating · 13–5 · mirage, 22 Sept →
48%Best headshot accuracy · 10–13 · dust2, 12 May →
391msFastest reaction time · 9–6 · vertigo, 14 May →
13–1Biggest win · dust2, 18 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W5Current streak
10–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 85% over 13infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA3522–1363%0.01
dust2S2416–867%0.00
ancientB158–753%0.02
anubisS1311–285%0.02
infernoD71–614%0.01
nuke—22–0100%0.07
overpass—10–10%-0.00
vertigo—11–0100%0.06
poseidon—10–10%-0.01
train—11–0100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,198Matches
62%Win rate
1.17Avg K/D
76.5ADR
54%Headshot %

Clutches & streaks

41%1v1 clutch win
21%1v2 clutch win
18Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage111062%1.1715.5
Anubis26863%1.1115.9
Ancient26562%1.1515.3
Dust225166%1.0915.0
Vertigo8167%1.2717.5
Nuke7758%1.0815.8
Inferno2948%1.1316.1
Train2060%1.1416.0

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.

23.9%Headshot accuracy
35.8%Accuracy (enemy spotted)
36.2%Spray accuracy
81.0%Counter-strafing
10.8°Preaim
593msReaction time
37.8%T opening success
48.3%CT opening success
0.74Enemies flashed / flash
15.3%Flash assists
11.21HE damage / grenade
10.54Flashes / 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. 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 37.841% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0120%21 Oct →
anubis13–9-0.0115%16 Oct →
mirage13–60.0927%13 Oct →
mirage13–50.1622%22 Sept →
ancient13–90.0316%16 Sept →
dust210–13-0.0425%16 Sept →
dust213–110.0229%24 Aug →
dust23–13-0.1023%24 Aug →
anubis13–50.1123%12 Aug →
dust213–11-0.0222%6 Aug →
overpass11–13-0.0028%8 Jun →
dust213–50.0245%1 Jun →
mirage13–90.0419%1 Jun →
mirage13–60.0525%22 May →
dust213–50.0330%22 May →
mirage9–130.0124%21 May →
mirage11–130.0022%21 May →
inferno8–130.0230%21 May →
ancient12–50.0715%21 May →
dust213–6-0.0619%21 May →
inferno13–16-0.0424%21 May →
dust214–160.0423%19 May →
inferno3–130.0427%19 May →
anubis5–13-0.0917%19 May →
dust213–1-0.0218%18 May →
anubis13–20.0820%18 May →
ancient4–13-0.0328%17 May →
inferno10–13-0.0132%17 May →
dust29–13-0.0224%16 May →
anubis13–80.0224%16 May →
mirage11–130.0233%16 May →
anubis13–70.0217%16 May →
dust213–70.0035%16 May →
mirage9–13-0.0728%16 May →
dust210–13-0.0217%15 May →
inferno6–13-0.0521%15 May →
mirage13–100.0122%15 May →
vertigo9–60.0631%14 May →
nuke9–40.1217%14 May →
poseidon4–9-0.0129%14 May →
inferno9–60.1218%14 May →
anubis13–90.0414%13 May →
mirage2–13-0.1015%13 May →
ancient7–130.0424%13 May →
dust213–60.0217%13 May →
ancient13–40.1042%13 May →
mirage13–11-0.0721%13 May →
dust210–13-0.0148%12 May →
mirage13–1-0.0114%12 May →
anubis13–60.0111%12 May →
mirage13–50.0329%11 May →
dust213–100.0219%7 May →
anubis11–130.0123%7 May →
ancient7–13-0.0110%18 Apr →
mirage13–7-0.0318%10 Apr →
anubis13–60.0632%10 Apr →
mirage13–100.0022%10 Apr →
mirage9–130.0115%26 Mar →
mirage13–60.0633%25 Mar →
ancient10–13-0.0214%23 Mar →
mirage15–19-0.0114%23 Mar →
ancient7–13-0.0529%20 Mar →
inferno8–13-0.0411%20 Mar →
mirage13–3-0.0230%4 Mar →
dust213–40.0819%4 Mar →
mirage14–16-0.0521%4 Mar →
ancient11–13-0.0414%3 Mar →
mirage13–8-0.0218%3 Mar →
mirage13–90.0523%3 Mar →
mirage13–7-0.0032%3 Mar →
dust213–110.1520%3 Mar →
dust213–110.0329%2 Mar →
dust213–110.0227%27 Feb →
mirage9–130.0024%27 Feb →
anubis13–11-0.0215%26 Feb →
anubis13–40.0518%26 Feb →
dust26–13-0.0627%26 Feb →
ancient13–80.0225%26 Feb →
mirage9–13-0.0618%26 Feb →
mirage13–90.0513%25 Feb →
mirage6–130.0326%25 Feb →
ancient13–30.1145%25 Feb →
mirage13–11-0.0216%25 Feb →
mirage13–50.0329%24 Feb →
nuke13–90.0117%24 Feb →
mirage13–90.0325%24 Feb →
ancient13–160.0319%24 Feb →
dust28–13-0.0516%23 Feb →
mirage10–130.0525%23 Feb →
mirage13–60.0423%7 Feb →
anubis14–70.0017%18 Jan →
ancient13–10.0114%17 Jan →
ancient13–80.0522%14 Jan →
dust213–7-0.0118%14 Jan →
mirage7–13-0.0529%13 Jan →
dust213–110.0228%25 Dec →
mirage13–8-0.0219%9 Dec →
dust213–80.0822%25 Nov →
mirage13–70.1022%23 Nov →
train13–70.0130%12 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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