Peg4SuS

Peg4SuS — CS2 Stats

SE76561198846408078[U:1:886142350]Steam profile ↗✓ No bans

3,183Tracked matches37%Win rate2021Tracked since
4,123Hours in CS32Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
Premier CS Rating18,310Purple band · top ~15.2% of ranked players (population est.)
FaceitLevel 7 · 1,265 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (12 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: 18,310 -157 14 Sept – 24 Oct · 12 days played
17,83518,608peak 18,60814 Sept24 Oct
Faceit ELO: 1,265 +0 14 Sept – 20 Sept · 2 observations
1,2651,265peak 1,26514 Sept20 Sept
18,608Peak Premier in tracked matches
1,265Highest Faceit ELO seen on CSDB
29Days played since 2026-09-04

Faceit ELO

  • At peak — 1,265
  • Next: Level 7 at 1,351 — 86 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-14
  • Level 5 first seen 2026-09-14

Premier CS Rating

  • 298 below peak (18,608)
  • -289 over 30 days · steady
  • Next: Pink band at 20,000 — 1,690 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

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.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate40.6%45.7%46.8%6.2% short
Shot accuracy1.5%12.7%13.0%11.5% short
Kill/death ratio1.001.051.060.07 short
Match win rate44.7%45.7%46.3%1.6% short

This profile sits below the typical Level 8 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPeg4SuSFACEITLevel 7 · 1,265 ELOSTANDINGTop 42.3% of rankedPREMIER18,310 · Purple bandPEAK ELO1,265csdb.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

Aim65
Positioning61
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY44–56Last 10044%Win rateWWWWLWLLWL

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +4.5pp headshot accuracy · +105ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 20%
  • Avg reaction 569ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 653ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 600ms

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).

Aim6.5
Utility6.9
Positioning6.1
Opening Duels3.9
Clutch3.4

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

jL

Plays most like jL 78% 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. 575ms 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

Aim6.5
Positioning6.1
Utility6.9
Mechanics4.7
Opening Duels4.2
Win Impact0.6

Composite 5.4/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time579ms+14ms
first ⅓ avg 565ms → last ⅓ avg 579ms
Headshot accuracy15.7%+1.8%
first ⅓ avg 13.9% → last ⅓ avg 15.7%

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

0.34Best match rating · 13–0 · ancient, 24 Sept →
31%Best headshot accuracy · 3–13 · mirage, 8 Sept →
414msFastest reaction time · 13–6 · ancient, 6 Oct →
13–0Biggest win · inferno, 9 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
4–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 53% over 17dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
anubisB2612–1446%0.04
infernoB179–853%0.03
ancientB147–750%0.04
nukeD144–1029%-0.00
mirageC125–742%0.01
dust2D82–625%0.01
cacheC73–443%-0.02
vertigo—22–0100%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,350Lifetime kills
1.00K/D
4,887Matches
44.7%Match win rate
40.6%Headshot %
1.5%Shot accuracy
9,490MVPs
2,637Hours (in match)
6,277Bombs planted
1,323Bombs defused

Most-used weapons

AK-4728,229
AWP8,069
MP92,797
MAC-102,134
Knife1,632

Lifetime map wins

10,920inferno
4,624nuke
3,466vertigo
3,255dust2
194train
107office
44lake
19militia

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

Faceit stats

Combat

1,754Matches
49%Win rate
1.13Avg K/D
75.1ADR
39%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno39350%1.1615.0
Anubis38752%1.2115.5
Mirage32845%1.0714.6
Ancient24050%1.1014.9
Nuke16251%1.1015.3
Vertigo11047%1.0415.2
Dust28239%1.0715.2
Overpass3738%1.0515.1

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.

15.2%Headshot accuracy
36.6%Accuracy (enemy spotted)
33.3%Spray accuracy
71.3%Counter-strafing
8.5°Preaim
575msReaction time
47.6%T opening success
46.2%CT opening success
0.65Enemies flashed / flash
4.2%Flash assists
10.40HE damage / grenade
15.44Flashes / match

Recommended for you

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 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–60.0720%3 Nov →
inferno13–30.1929%3 Nov →
anubis13–30.1112%2 Nov →
inferno13–100.0321%2 Nov →
inferno9–13-0.0219%2 Nov →
cache5–2-0.0425%24 Oct →
dust25–13-0.0119%23 Oct →
anubis11–13-0.0511%23 Oct →
mirage13–11-0.0418%23 Oct →
dust26–130.0412%23 Oct →
anubis7–130.0010%23 Oct →
ancient11–130.0715%23 Oct →
nuke4–13-0.0729%23 Oct →
anubis10–130.028%23 Oct →
mirage3–13-0.059%23 Oct →
anubis13–10-0.029%20 Oct →
mirage9–130.0414%19 Oct →
dust26–130.0213%19 Oct →
ancient13–50.1319%19 Oct →
anubis8–13-0.0417%19 Oct →
inferno11–13-0.0118%19 Oct →
anubis9–13-0.0615%17 Oct →
inferno6–130.0715%16 Oct →
anubis11–130.0016%13 Oct →
nuke6–130.0514%13 Oct →
inferno13–90.098%11 Oct →
nuke13–100.0816%11 Oct →
mirage3–13-0.0319%11 Oct →
ancient13–8-0.037%10 Oct →
mirage5–13-0.019%10 Oct →
anubis6–13-0.0721%10 Oct →
inferno8–13-0.0215%10 Oct →
nuke10–13-0.0515%10 Oct →
cache16–14-0.0111%10 Oct →
ancient13–60.0712%9 Oct →
mirage13–5-0.019%9 Oct →
anubis13–70.0919%9 Oct →
inferno13–0-0.0311%9 Oct →
nuke11–130.0427%9 Oct →
ancient13–60.016%9 Oct →
cache5–13-0.0814%9 Oct →
mirage13–16-0.0419%9 Oct →
anubis13–40.1020%7 Oct →
inferno10–13-0.0410%7 Oct →
cache10–13-0.1118%7 Oct →
mirage13–60.0220%7 Oct →
anubis10–130.0918%7 Oct →
nuke13–110.0321%7 Oct →
inferno10–130.0111%6 Oct →
mirage13–40.1512%6 Oct →
ancient13–60.0412%6 Oct →
ancient6–13-0.0421%6 Oct →
mirage13–40.0121%6 Oct →
anubis13–90.0924%26 Sept →
nuke2–13-0.017%26 Sept →
cache6–130.036%26 Sept →
ancient7–130.0111%26 Sept →
anubis13–90.015%26 Sept →
nuke3–13-0.077%25 Sept →
dust214–16-0.049%25 Sept →
inferno6–130.0421%25 Sept →
anubis9–13-0.007%24 Sept →
anubis13–20.1014%24 Sept →
ancient13–00.3427%24 Sept →
ancient13–40.0023%24 Sept →
dust211–130.0016%24 Sept →
nuke3–9-0.088%24 Sept →
anubis10–13-0.0012%22 Sept →
nuke13–30.0113%22 Sept →
anubis13–20.0910%22 Sept →
nuke8–13-0.0226%21 Sept →
inferno13–7-0.0415%21 Sept →
cache19–160.0118%21 Sept →
anubis10–130.015%21 Sept →
ancient6–13-0.006%20 Sept →
dust213–80.0519%18 Sept →
inferno9–13-0.0014%18 Sept →
vertigo13–8-0.0413%18 Sept →
inferno13–80.0514%18 Sept →
vertigo13–80.0611%18 Sept →
nuke5–13-0.0314%17 Sept →
anubis10–130.069%16 Sept →
dust27–130.019%15 Sept →
nuke10–13-0.0317%13 Sept →
inferno13–70.0612%13 Sept →
anubis8–130.0112%13 Sept →
nuke13–30.1320%10 Sept →
ancient10–130.0614%10 Sept →
cache11–130.0213%10 Sept →
dust213–60.039%10 Sept →
anubis19–170.079%8 Sept →
mirage3–13-0.0131%8 Sept →
anubis13–30.1511%8 Sept →
anubis13–00.1413%6 Sept →
inferno13–100.0514%6 Sept →
inferno13–00.1015%6 Sept →
ancient11–13-0.029%6 Sept →
anubis9–130.0014%6 Sept →
mirage11–130.0616%4 Sept →
ancient3–13-0.0521%4 Sept →

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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