Peter Zwegat

Peter Zwegat — CS2 Stats

DE76561197960309702[U:1:43974]Steam profile ↗✓ No bans

930Tracked matches40%Win rate2020Tracked since
2,196Hours in CS5Hrs last 2 wks
CSDB Rating5.3 DevelopingAll-Rounder
CSDB Leaderboard#82617 of 247973 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,917 +1,406 7 Apr – 16 May · 9 days played
18,51120,386peak 20,3867 Apr16 May
20,493Peak Premier in tracked matches
37Days played since 2026-03-08

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

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=13,886), 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 rate38.0%45.7%46.8%8.8% short
Shot accuracy18.8%12.7%13.0%above
Kill/death ratio1.321.051.06above
Match win rate49.0%45.7%46.3%above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGPeter ZwegatFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim72
Positioning48
Utility48

0–100 skill scores via Leetify.

Recent form

COLD44–48–8Last 10044%Win rateLLWLLWLLLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +0.1pp headshot accuracy · −9ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 584ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 586ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 590ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.2
Utility4.8
Positioning4.8
Opening Duels3.5
Clutch4.8

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

device

Plays most like device 96% 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

T-side openings. Opening success drops from 47% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms 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

Aim7.2
Positioning4.8
Utility4.8
Mechanics7.3
Opening Duels2.4
Win Impact1.7

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-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time617ms−16ms
first ⅓ avg 633ms → last ⅓ avg 617ms
Headshot accuracy15.3%+0.7%
first ⅓ avg 14.6% → last ⅓ avg 15.3%

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

0.24Best match rating · 9–1 · inferno, 10 Mar →
38%Best headshot accuracy · 3–13 · nuke, 7 Jul →
398msFastest reaction time · 4–9 · inferno, 26 Jul →
13–1Biggest win · inferno, 31 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
6–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 60% over 5cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB5024–2648%-0.00
dust2B2211–1150%0.00
anubisD71–614%-0.03
cacheD50–50%-0.04
ancientA53–260%-0.05
overpass—43–175%0.00
nuke—31–233%-0.04
mirage—31–233%-0.02
stronghold—10–10%-0.03

Across the last 100 tracked matches.

Lifetime stats

73,438Lifetime kills
1.32K/D · Top 25% of Level 7 players
3,563Matches
49.0%Match win rate · Top 25% of Level 7 players
38.0%Headshot %
18.8%Shot accuracy · Top 10% of Level 7 players
9,638MVPs
1,310Hours (in match)
3,118Bombs planted
1,017Bombs defused

Most-used weapons

AK-4716,209
AWP4,351
P2502,844
MP72,651
Tec-91,965
MP91,797
MAC-101,772

Lifetime map wins

18,783dust2
7,175inferno
1,481nuke
898cbble
811train
297vertigo
171lake
119shorttrain

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

Faceit stats

Combat

192Matches
53%Win rate
1.04Avg K/D
74.7ADR
39%Headshot %

Clutches & streaks

44%1v1 clutch win
30%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust26655%1.0614.1
Inferno3259%1.2216.0
Anubis3135%0.9214.9
Ancient1759%0.8712.7
Nuke1560%1.0412.6
Mirage944%0.8314.1
Overpass771%0.8415.1
Cache633%0.7511.2

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.

14.7%Headshot accuracy
39.9%Accuracy (enemy spotted)
42.7%Spray accuracy
83.0%Counter-strafing
11.2°Preaim
626msReaction time
32.0%T opening success
47.3%CT opening success
0.49Enemies flashed / flash
2.9%Flash assists
14.46HE damage / grenade
5.93Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.6685% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4944 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 32.0373% — below the 40% mark we flag

Spend your practice time on Cache

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis7–130.0112%22 Sept →
dust26–13-0.0311%15 Sept →
dust213–100.0215%8 Sept →
inferno8–130.108%3 Sept →
dust214–16-0.0511%1 Sept →
nuke16–14-0.0610%27 Aug →
anubis5–13-0.0426%27 Aug →
inferno11–130.0714%25 Aug →
anubis6–13-0.0520%24 Aug →
dust213–9-0.0113%23 Aug →
cache9–13-0.038%5 Aug →
dust25–13-0.0217%4 Aug →
dust23–13-0.0514%3 Aug →
inferno13–90.0113%3 Aug →
mirage13–100.0016%1 Aug →
inferno9–50.137%26 Jul →
inferno5–9-0.1116%26 Jul →
inferno9–10.1219%26 Jul →
inferno4–9-0.1114%26 Jul →
inferno8–80.0617%26 Jul →
dust213–60.0616%26 Jul →
ancient13–9-0.0418%26 Jul →
inferno13–30.0625%26 Jul →
dust215–19-0.0718%21 Jul →
cache7–13-0.0112%18 Jul →
anubis5–13-0.0314%14 Jul →
inferno10–130.0517%7 Jul →
nuke3–13-0.0838%7 Jul →
dust213–60.0712%23 Jun →
overpass16–14-0.029%16 Jun →
dust213–4-0.0014%16 May →
anubis7–13-0.0417%16 May →
ancient13–5-0.0714%16 May →
mirage6–13-0.020%15 May →
inferno5–13-0.038%15 May →
inferno13–3-0.038%15 May →
cache7–130.0018%12 May →
dust29–13-0.0119%12 May →
dust214–160.0118%12 May →
anubis13–70.0513%2 May →
cache3–13-0.0510%28 Apr →
cache2–7-0.0927%28 Apr →
inferno8–80.0116%28 Apr →
inferno1–9-0.1420%28 Apr →
ancient14–16-0.0112%28 Apr →
dust28–13-0.0223%21 Apr →
inferno4–9-0.0516%21 Apr →
inferno8–8-0.1021%21 Apr →
inferno7–9-0.0431%21 Apr →
inferno8–80.089%21 Apr →
overpass13–60.0413%18 Apr →
ancient13–4-0.0411%18 Apr →
inferno8–80.027%18 Apr →
inferno9–5-0.0921%18 Apr →
inferno7–90.048%18 Apr →
inferno5–9-0.067%18 Apr →
inferno9–60.1021%18 Apr →
inferno9–10.0815%18 Apr →
inferno9–70.0516%14 Apr →
inferno5–9-0.1119%14 Apr →
dust27–130.027%14 Apr →
inferno13–90.0220%14 Apr →
anubis7–13-0.0811%14 Apr →
dust26–13-0.0211%14 Apr →
overpass7–13-0.0117%14 Apr →
dust213–10-0.0212%14 Apr →
inferno1–13-0.084%14 Apr →
dust213–100.0220%12 Apr →
inferno13–40.0527%12 Apr →
inferno9–60.0012%7 Apr →
inferno6–9-0.0812%7 Apr →
inferno4–9-0.1919%7 Apr →
inferno9–30.0926%7 Apr →
inferno9–40.0226%7 Apr →
inferno9–7-0.0014%7 Apr →
inferno9–6-0.0622%7 Apr →
inferno13–9-0.0220%7 Apr →
dust213–8-0.0110%7 Apr →
nuke10–130.0112%7 Apr →
dust213–3-0.0116%7 Apr →
inferno13–10.1220%31 Mar →
overpass13–9-0.008%31 Mar →
inferno9–30.1624%25 Mar →
inferno8–8-0.0212%24 Mar →
dust210–130.0312%24 Mar →
inferno13–11-0.094%18 Mar →
inferno11–13-0.0610%18 Mar →
mirage6–13-0.0514%11 Mar →
inferno9–10.2419%10 Mar →
inferno8–8-0.026%10 Mar →
inferno1–9-0.195%10 Mar →
inferno8–8-0.0611%10 Mar →
stronghold11–13-0.0311%10 Mar →
ancient5–13-0.106%10 Mar →
inferno13–100.0319%10 Mar →
dust213–50.1111%10 Mar →
dust213–30.029%10 Mar →
inferno6–9-0.165%10 Mar →
inferno9–70.0920%8 Mar →
inferno9–40.0621%8 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.