pizlii

pizlii — CS2 Stats

IS76561197987518819[U:1:27253091]Steam profile ↗✓ No bans

415Tracked matches43%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating18,591Purple band · top ~14.1% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (5 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: 18,591 +515 12 May – 14 Oct · 3 days played
18,04618,591peak 18,59112 May14 Oct
18,823Peak Premier in tracked matches
45Days played since 2023-06-25

Premier CS Rating

  • At peak — 18,591
  • Next: Pink band at 20,000 — 1,409 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGpizliiFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER18,591 · Purple 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

Aim74
Positioning61
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateLLWLWWWLLT

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.5pp headshot accuracy · −34ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 586ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 580ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 597ms

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 (+1.1 against its own average).

Aim7.4
Utility6.3
Positioning6.1
Opening Duels3.9
Clutch4.4

Strong CT-side opener

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 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 60% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim7.4
Positioning6.1
Utility6.3
Mechanics7.8
Opening Duels4.1
Win Impact2.6

Composite 6.2/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time617ms−6ms
first ⅓ avg 623ms → last ⅓ avg 617ms
Headshot accuracy22.6%+4.5%
first ⅓ avg 18.1% → last ⅓ avg 22.6%

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 · 13–3 · anubis, 14 Oct →
50%Best headshot accuracy · 5–0 · mirage, 4 Feb →
461msFastest reaction time · 13–11 · inferno, 22 Dec →
13–1Biggest win · nuke, 24 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
10–7In matches decided by ≤2 rounds
43Overtime games

Map breakdown

nukeBest map · 70% over 10anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2110–1148%0.01
ancientC187–1139%0.01
infernoC166–1038%-0.01
anubisD103–730%-0.00
nukeS107–370%0.01
dust2A95–456%0.00
overpassA95–456%0.00
cache—32–167%0.01
vertigo—22–0100%0.01
train—11–0100%0.02
mills—10–10%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,039Matches
51%Win rate
1.13Avg K/D
78.1ADR
45%Headshot %

Clutches & streaks

42%1v1 clutch win
31%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1127%0.8914.9
Ancient1030%0.9918.8
Dust2729%0.9212.7
Nuke683%1.3915.3
Inferno650%1.0315.8
Anubis560%0.9611.6
Train367%0.8413.3
Overpass3100%1.5618.0

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.

21.5%Headshot accuracy
33.8%Accuracy (enemy spotted)
35.5%Spray accuracy
85.1%Counter-strafing
9.9°Preaim
603msReaction time
33.0%T opening success
59.8%CT opening success
0.62Enemies flashed / flash
4.6%Flash assists
9.05HE damage / grenade
8.14Flashes / 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 32.9684% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0424%14 Oct →
dust21–13-0.0429%14 Oct →
anubis13–30.1318%14 Oct →
ancient11–130.0020%14 Oct →
cache13–50.0427%14 Oct →
mirage13–90.0617%13 Oct →
anubis13–50.0218%13 Oct →
nuke8–13-0.0327%4 Oct →
inferno5–13-0.0414%3 Oct →
mirage15–150.0625%3 Oct →
dust213–70.0624%23 Sept →
anubis7–13-0.0513%23 Sept →
ancient4–130.0230%23 Sept →
mirage13–90.0121%3 Sept →
cache13–70.037%3 Sept →
anubis11–13-0.0218%3 Sept →
cache4–13-0.0524%3 Sept →
inferno6–130.0243%3 Sept →
nuke13–80.0641%3 Sept →
dust21–13-0.0514%19 Aug →
inferno2–130.0120%19 Aug →
inferno13–6-0.0212%12 May →
ancient13–70.0627%12 May →
mirage5–13-0.0715%26 Apr →
overpass13–60.0724%26 Apr →
inferno8–13-0.0316%26 Apr →
dust213–8-0.0126%24 Apr →
anubis5–13-0.0424%27 Mar →
overpass6–130.0218%16 Mar →
mirage15–150.0011%16 Mar →
mirage13–110.0732%4 Feb →
anubis14–16-0.0216%4 Feb →
mirage5–0-0.0250%4 Feb →
ancient3–13-0.0915%4 Feb →
mirage16–140.0228%25 Sept →
nuke12–120.0226%3 Jul →
anubis13–10-0.0223%19 Jan →
mirage14–16-0.0212%18 Jan →
train13–80.0232%10 Jan →
nuke13–7-0.0414%28 Dec →
inferno13–11-0.0025%22 Dec →
dust210–13-0.0317%21 Dec →
ancient12–16-0.0016%21 Dec →
ancient13–110.0719%7 Nov →
dust213–80.0625%1 Nov →
ancient13–80.0919%27 Oct →
ancient7–60.068%28 Sept →
mirage16–14-0.0318%19 Aug →
mills12–12-0.0517%18 Aug →
nuke13–40.0521%18 Aug →
ancient13–20.0411%14 Aug →
dust213–50.0145%14 Aug →
nuke13–10.0523%24 Jul →
ancient13–16-0.0215%2 Oct →
vertigo13–7-0.0219%2 Oct →
nuke7–13-0.0219%2 Oct →
overpass13–10-0.0120%27 Sept →
nuke16–14-0.0132%27 Sept →
ancient6–13-0.0518%26 Sept →
nuke13–110.0423%26 Sept →
mirage13–8-0.0015%26 Sept →
inferno8–130.0122%26 Sept →
overpass5–16-0.0717%26 Sept →
mirage15–150.0921%25 Sept →
nuke13–50.0320%25 Sept →
ancient5–130.0129%25 Sept →
inferno16–11-0.0313%24 Sept →
inferno8–16-0.0513%23 Sept →
overpass16–100.0322%23 Sept →
ancient16–70.0312%23 Sept →
ancient12–16-0.0124%22 Sept →
mirage4–130.0924%22 Sept →
vertigo13–20.0312%17 Sept →
inferno7–16-0.0320%29 Aug →
anubis7–150.0113%27 Aug →
ancient16–40.0210%27 Aug →
inferno19–160.0116%27 Aug →
mirage13–160.0618%27 Aug →
overpass16–14-0.0518%27 Aug →
mirage9–16-0.0531%27 Aug →
ancient8–16-0.039%26 Aug →
mirage16–40.0117%26 Aug →
overpass12–16-0.0619%26 Aug →
mirage16–14-0.0213%26 Aug →
inferno13–160.0628%26 Aug →
dust28–160.0529%20 Aug →
anubis6–16-0.0211%20 Aug →
mirage8–16-0.0218%20 Aug →
inferno11–16-0.0219%20 Aug →
ancient11–16-0.0519%28 Jun →
overpass16–70.0922%28 Jun →
mirage16–80.0316%28 Jun →
anubis7–16-0.028%28 Jun →
mirage14–16-0.0118%27 Jun →
ancient19–150.0020%27 Jun →
dust216–13-0.048%26 Jun →
inferno19–160.0328%26 Jun →
inferno19–22-0.0016%25 Jun →
overpass14–160.0118%25 Jun →
inferno16–140.0126%25 Jun →

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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