Pedejais Rigas Sargs

Pedejais Rigas Sargs — CS2 Stats

LV76561199158146886[U:1:1197881158]Steam profile ↗✓ No bans

1,323Tracked matches45%Win rate2024Tracked since
1,170Hours in CS12Hrs last 2 wks
CSDB Rating4.6 DevelopingSupport
Premier CS Rating18,120Purple band · top ~16% of ranked players (population est.)
FaceitLevel 5 · 1,245 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (2 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: 18,120 -2,067 29 Mar – 1 Oct · 37 days played
17,71921,105peak 21,10529 Mar1 Oct
21,213Peak Premier in tracked matches
1,245Highest Faceit ELO seen on CSDB
53Days played since 2026-03-29

Faceit ELO

  • At peak — 1,245
  • Next: Level 7 at 1,351 — 106 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-06
  • Level 5 first seen 2026-09-06

Premier CS Rating

  • 2,985 below peak (21,105)
  • -1,588 over 90 days
  • Next: Pink band at 20,000 — 1,880 to go
  • Reached: Pink band · 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. 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches48——
Win rate46%——
K/D0.66——
Headshot %52%——

Measured 6 Sep 2026 → 3 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,649), 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 5 medianLevel 6 medianvs Level 6
Headshot rate49.7%43.8%44.8%above
Shot accuracy0.0%12.0%12.4%12.4% short
Kill/death ratio0.721.021.030.32 short
Match win rate45.6%44.7%45.2%meets

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPedejais Rigas SargsFACEITLevel 5 · 1,245 ELOSTANDINGTop 67.6% of rankedPREMIER18,120 · Purple bandPEAK ELO1,245csdb.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

Aim63
Positioning36
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateLWWLLLLWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +0.5pp headshot accuracy · −8ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 561ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 574ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 577ms

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 (+1.8 against its own average).

Aim6.3
Utility4.7
Positioning3.6
Opening Duels0.6
Clutch2.6

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

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Reaction time. 592ms 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

Aim6.3
Positioning3.6
Utility4.7
Mechanics6.3
Opening Duels0.1
Win Impact3.3

Composite 4.6/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time595ms−29ms
first ⅓ avg 624ms → last ⅓ avg 595ms
Headshot accuracy19.3%−1.7%
first ⅓ avg 21.0% → last ⅓ avg 19.3%

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

0.09Best match rating · 13–3 · overpass, 8 Apr →
43%Best headshot accuracy · 9–13 · mirage, 2 Apr →
375msFastest reaction time · 4–13 · mirage, 12 Aug →
13–1Biggest win · mirage, 4 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

dust2Best map · 63% over 19infernoWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A1912–763%-0.02
mirageB158–753%-0.02
infernoD143–1121%-0.03
nukeB136–746%-0.00
anubisB136–746%-0.01
cacheD124–833%-0.03
overpassD82–625%-0.03
ancientC52–340%-0.01
vertigo—10–10%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,171Lifetime kills
0.72K/D
1,547Matches
45.6%Match win rate · Top 50% of Level 5 players
49.7%Headshot % · Top 25% of Level 5 players
0.0%Shot accuracy
2,234MVPs
635Hours (in match)
1,301Bombs planted
274Bombs defused

Most-used weapons

Lifetime map wins

2,596dust2
2,203inferno
1,808nuke
1,260vertigo
388train
22office
13italy
1ar_shoots

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

Faceit stats

Combat

398Matches
53%Win rate
0.78Avg K/D
63.3ADR
47%Headshot %

Clutches & streaks

33%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage9252%0.7611.8
Dust26958%0.7511.7
Inferno6444%0.7512.4
Anubis3459%0.8211.7
Nuke3447%0.8312.7
Vertigo3266%0.7912.3
Ancient3244%0.8012.4
Overpass1759%0.9813.2

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.

19.3%Headshot accuracy
30.8%Accuracy (enemy spotted)
35.6%Spray accuracy
78.3%Counter-strafing
10.0°Preaim
592msReaction time
30.8%T opening success
29.3%CT opening success
0.56Enemies flashed / flash
3.7%Flash assists
11.52HE damage / grenade
8.52Flashes / 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 30.8359% — 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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0426%2 Oct →
nuke13–100.0328%1 Oct →
ancient13–110.0323%17 Sept →
cache9–13-0.0324%17 Sept →
inferno10–13-0.0121%12 Sept →
inferno9–13-0.0614%11 Sept →
dust29–13-0.0525%4 Sept →
mirage13–1-0.0520%4 Sept →
mirage13–5-0.0514%1 Sept →
cache3–13-0.0418%28 Aug →
mirage16–14-0.0121%26 Aug →
vertigo9–130.0921%25 Aug →
cache2–13-0.0618%25 Aug →
mirage4–13-0.0115%12 Aug →
dust213–9-0.0431%12 Aug →
nuke12–160.0121%22 Jul →
dust216–140.0221%22 Jul →
inferno13–7-0.0326%21 Jul →
cache13–30.0727%21 Jul →
dust24–13-0.096%18 Jul →
nuke13–7-0.0117%18 Jul →
dust213–50.0413%14 Jul →
cache15–15-0.0420%14 Jul →
nuke8–13-0.0310%12 Jul →
cache10–13-0.093%12 Jul →
mirage13–90.0026%12 Jul →
inferno7–13-0.0618%9 Jul →
cache13–4-0.0517%9 Jul →
mirage7–13-0.0310%9 Jul →
mirage9–13-0.0520%2 Jul →
overpass15–15-0.0920%30 Jun →
nuke13–7-0.0030%29 Jun →
overpass10–13-0.0615%29 Jun →
mirage13–7-0.0916%28 Jun →
dust213–40.0317%26 Jun →
nuke8–13-0.0112%26 Jun →
dust213–9-0.0210%26 Jun →
dust213–100.0017%23 Jun →
inferno11–13-0.0424%23 Jun →
anubis4–13-0.0414%9 Jun →
inferno14–16-0.0711%7 Jun →
nuke13–10-0.0513%3 Jun →
mirage7–13-0.0420%2 Jun →
overpass1–13-0.1232%2 Jun →
mirage13–90.0312%2 Jun →
dust213–20.0320%29 May →
inferno6–13-0.1014%29 May →
anubis1–13-0.0126%29 May →
overpass11–13-0.019%28 May →
inferno8–13-0.055%28 May →
mirage8–13-0.0614%23 May →
ancient13–90.0213%23 May →
dust213–100.0119%15 May →
inferno7–13-0.0521%11 May →
anubis13–16-0.0412%4 May →
anubis15–15-0.0120%3 May →
cache13–2-0.043%3 May →
cache7–130.0215%3 May →
dust25–13-0.1113%3 May →
nuke10–13-0.0222%3 May →
anubis13–90.0118%3 May →
cache13–9-0.0119%1 May →
nuke11–130.0025%1 May →
cache12–12-0.0324%29 Apr →
dust213–11-0.0225%27 Apr →
mirage13–20.0524%25 Apr →
anubis13–11-0.0416%25 Apr →
inferno16–130.0320%24 Apr →
dust25–13-0.0828%24 Apr →
anubis7–13-0.0323%22 Apr →
nuke13–10-0.0126%22 Apr →
dust211–130.0020%22 Apr →
anubis11–130.0027%21 Apr →
nuke13–110.0620%21 Apr →
mirage13–11-0.0430%21 Apr →
overpass11–13-0.0616%20 Apr →
inferno11–13-0.0120%16 Apr →
dust26–13-0.0210%16 Apr →
anubis11–130.0113%16 Apr →
overpass13–80.0325%14 Apr →
nuke7–13-0.0317%14 Apr →
dust213–10-0.0621%14 Apr →
inferno11–13-0.0320%11 Apr →
ancient9–13-0.0422%11 Apr →
overpass9–13-0.0620%10 Apr →
anubis13–60.0116%10 Apr →
inferno13–100.0421%9 Apr →
ancient6–13-0.0518%8 Apr →
overpass13–30.0915%8 Apr →
anubis13–110.0118%8 Apr →
anubis13–9-0.038%7 Apr →
ancient10–13-0.0118%4 Apr →
dust216–14-0.0418%4 Apr →
mirage9–130.0443%2 Apr →
dust213–4-0.0130%2 Apr →
mirage4–13-0.0617%2 Apr →
nuke2–13-0.0129%2 Apr →
inferno10–13-0.0419%1 Apr →
dust27–130.0325%29 Mar →
anubis13–110.0522%29 Mar →

Match data via Leetify.

Recent teammates

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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