Piperliviqt℠ᴅ

Piperliviqt℠ᴅ — CS2 Stats

BG76561198297346536[U:1:337080808]Steam profile ↗✓ No bans

153Tracked matches52%Win rate2021Tracked since
CSDB Rating5.3 DevelopingClutch Specialist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

+5Tracked matches · now 153
+5.4ppWin rate · 46.4% → 51.8%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 46 days played since 23 Mar 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 16,915 +3,971 23 Mar6 Apr · 10 days played
12,94416,915peak 16,91523 Mar6 Apr
16,915Peak Premier in tracked matches
46Days played since 2025-03-23

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.

Performance scores

Aim58
Positioning54
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY47449Last 10047%Win rateWWWLTWLLLL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +4.2pp headshot accuracy · +49ms reaction

Win rate down 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

  • 311 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 652ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 653ms

Last 20

  • 1082 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 629ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+4.4 against its own average).

Aim5.8
Utility5.1
Positioning5.4
Opening Duels2.0
Clutch10.0

Reliable in 1v1s

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

NiKo

Plays most like NiKo 79% 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

Areas to improve

Reaction time. 623ms 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

Aim5.8
Positioning5.4
Utility5.1
Mechanics6.5
Opening Duels2.3
Win Impact5.6

Composite 5.3/10 (Developing), 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 rating-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time629ms−25ms
first ⅓ avg 654ms → last ⅓ avg 629ms
Headshot accuracy16.9%−3.7%
first ⅓ avg 20.6% → last ⅓ avg 16.9%

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

0.18Best match rating · 13–8 · mirage, 1 Apr
44%Best headshot accuracy · 8–13 · mirage, 13 Jul
469msFastest reaction time · 13–2 · inferno, 2 Apr
13–1Biggest win · mirage, 25 Mar

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
86In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 73% over 11dust2Weakest map · 25% over 24
MapGradePlayedRecordWin rateAvg rating
mirageB28151354%0.02
dust2D2461825%-0.01
nukeD1441029%-0.01
ancientS118373%0.01
infernoS107370%0.01
trainA53260%0.01
vertigo3030%-0.04
anubis330100%-0.06
overpass21150%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
33%Win rate
0.83Avg K/D
94.8ADR
43%Headshot %

Clutches & streaks

100%1v1 clutch win
100%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

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.

16.2%Headshot accuracy
34.6%Accuracy (enemy spotted)
37.6%Spray accuracy
79.1%Counter-strafing
11.7°Preaim
623msReaction time
38.2%T opening success
40.6%CT opening success
0.48Enemies flashed / flash
6.1%Flash assists
9.13HE damage / grenade
14.47Flashes / 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. 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 0.4792 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 38.1899% — below the 40% mark we flag

Spend your practice time on Dust 2

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

25% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0422%11 Sept
mirage11–30.0033%10 Sept
nuke13–70.0323%2 Sept
mirage6–13-0.024%2 Sept
vertigo12–12-0.0217%1 Sept
ancient13–10-0.019%31 Aug
dust23–13-0.1114%29 Aug
nuke5–13-0.0217%29 Aug
ancient7–130.0724%28 Aug
dust210–130.0924%28 Aug
mirage13–70.0113%28 Aug
mirage13–110.0617%4 Aug
mirage13–11-0.0113%1 Aug
train12–12-0.0318%1 Aug
inferno13–8-0.0218%1 Aug
ancient13–60.1311%31 Jul
nuke4–13-0.0619%31 Jul
train11–130.0115%28 Jul
anubis13–5-0.0411%28 Jul
nuke10–13-0.0611%28 Jul
dust213–9-0.0216%28 Jul
dust213–8-0.0411%28 Jul
nuke3–13-0.0615%27 Jul
dust212–120.0315%27 Jul
mirage13–40.0713%27 Jul
mirage1–10-0.0520%27 Jul
dust28–130.0115%25 Jul
inferno13–110.1019%25 Jul
mirage4–13-0.0414%21 Jul
vertigo3–13-0.0822%21 Jul
dust26–13-0.0720%20 Jul
mirage6–13-0.0221%20 Jul
dust213–80.0827%15 Jul
mirage13–110.0318%15 Jul
mirage8–130.0744%13 Jul
mirage6–130.0323%8 Jun
nuke4–13-0.028%7 Jun
dust215–150.0123%4 Jun
dust21–13-0.0120%4 Jun
dust213–90.0218%15 May
nuke10–13-0.058%14 May
mirage4–13-0.0318%14 Apr
dust24–13-0.0429%13 Apr
dust213–8-0.0122%11 Apr
mirage13–70.1523%9 Apr
inferno13–50.0412%29 Mar
ancient10–130.0719%13 Mar
mirage11–13-0.0315%13 Mar
nuke7–130.0025%13 Mar
inferno14–16-0.0223%13 Mar
inferno13–50.0223%13 Mar
overpass15–15-0.0211%12 Mar
dust29–13-0.0511%12 Mar
dust210–13-0.0721%11 Mar
nuke11–130.0121%11 Mar
mirage13–100.0514%5 Mar
mirage12–120.0125%8 Feb
dust213–5-0.0123%8 Feb
dust28–13-0.0216%25 Jan
mirage13–10-0.0019%25 Jan
vertigo9–13-0.0213%25 Jan
ancient13–2-0.0516%25 Jan
overpass13–100.0315%25 Jan
dust22–13-0.0811%25 Jan
anubis13–9-0.0615%24 Jan
mirage13–9-0.0212%24 Jan
inferno7–13-0.0415%24 Jan
dust24–13-0.0111%19 Dec
inferno15–150.0321%31 May
anubis16–14-0.0817%6 Apr
inferno13–9-0.0126%6 Apr
ancient15–15-0.0613%3 Apr
mirage2–13-0.067%3 Apr
nuke13–50.0728%2 Apr
inferno13–20.0225%2 Apr
inferno16–13-0.0024%2 Apr
train13–80.0625%2 Apr
mirage13–80.1827%1 Apr
mirage9–130.0020%1 Apr
dust210–130.0316%1 Apr
nuke15–15-0.0414%1 Apr
mirage1–13-0.0623%1 Apr
nuke13–40.0426%31 Mar
mirage13–9-0.0522%31 Mar
ancient13–6-0.0019%30 Mar
ancient13–7-0.0117%30 Mar
mirage10–13-0.0612%26 Mar
ancient16–140.0215%26 Mar
train13–5-0.0132%26 Mar
train3–00.030%26 Mar
ancient7–40.0143%26 Mar
mirage12–40.0722%26 Mar
dust211–130.0319%25 Mar
dust210–130.0323%25 Mar
mirage13–10.1629%25 Mar
dust213–160.0123%24 Mar
nuke13–80.0613%24 Mar
mirage13–110.0118%24 Mar
dust28–130.0018%24 Mar
nuke11–13-0.0130%23 Mar

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 →