peter the defeater

peter the defeater — CS2 Stats

US76561198381331014[U:1:421065286]Steam profile ↗✓ No bans

689Tracked matches37%Win rate2020Tracked since
892Hours in CS17Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+72Tracked matches · now 689
+7.0ppWin rate · 30.0% → 37.0%

Rating over time

34Days played since 2026-08-03

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim74
Positioning56
Utility38

0–100 skill scores via Leetify.

Recent form

COLD32–60–8Last 10032%Win rateLLLLTLWLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +2.6pp headshot accuracy · +25ms reaction

Win rate down 30pp 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

  • 0–4–1 · 0% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 655ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 626ms

Last 20

  • 5–12–3 · 25% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 613ms

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: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim7.4
Utility3.8
Positioning5.6
Opening Duels3.8

Limited utility dependence

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

s1mple

Plays most like s1mple 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Strengths

T openings. 73% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 73% on T to 45% on CT — first contacts on the defending side are being lost.

Reaction time. 609ms 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
Positioning5.6
Utility3.8
Mechanics7.7
Opening Duels6.9
Win Impact0.7

Composite 5.8/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time608ms−82ms
first ⅓ avg 691ms → last ⅓ avg 608ms
Headshot accuracy30.0%+1.7%
first ⅓ avg 28.4% → last ⅓ avg 30.0%

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

0.11Best match rating · 8–8 · nuke, 29 Sept →
78%Best headshot accuracy · 1–13 · mirage, 28 Sept →
406msFastest reaction time · 3–1 · train, 28 Sept →
13–1Biggest win · ancient, 24 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L4Current streak
4–3In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 50% over 16officeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D319–2229%-0.02
nukeB168–850%0.00
mirageC135–838%-0.00
vertigoC104–640%-0.01
cacheD92–722%0.01
officeD51–420%0.01
anubis—30–30%0.03
ancient—31–233%-0.01
train—21–150%0.01
inferno—21–150%0.05
overpass—10–10%-0.02
poseidon—10–10%0.04
debris—10–10%0.03
shelter—10–10%-0.03
fachwerk—10–10%-0.09
boulder—10–10%0.01

Across the last 100 tracked matches.

Lifetime stats

25,154Lifetime kills
0.99K/D
1,419Matches
44.2%Match win rate
48.6%Headshot % · Top 50% of tracked players
9.3%Shot accuracy
3,845MVPs
505Hours (in match)
1,091Bombs planted
297Bombs defused

Most-used weapons

Lifetime map wins

4,221dust2
1,046nuke
824office
729vertigo
474train
226inferno
137lake
87italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

31.1%Headshot accuracy
31.7%Accuracy (enemy spotted)
28.0%Spray accuracy
84.8%Counter-strafing
10.7°Preaim
609msReaction time
73.2%T opening success
45.2%CT opening success
0.65Enemies flashed / flash
6.5%Flash assists
9.05HE damage / grenade
4.19Flashes / match

Recommended for you

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
office6–13-0.0425%11 Oct →
vertigo2–13-0.0124%11 Oct →
dust210–130.0221%11 Oct →
overpass9–13-0.0215%10 Oct →
anubis12–120.0732%10 Oct →
office9–130.0526%10 Oct →
office13–90.0826%10 Oct →
train10–13-0.0125%9 Oct →
dust24–13-0.0429%9 Oct →
nuke3–13-0.1042%9 Oct →
mirage4–13-0.0422%7 Oct →
nuke13–90.0129%7 Oct →
anubis4–130.020%1 Oct →
nuke13–90.0323%1 Oct →
cache13–80.0834%30 Sept →
nuke2–9-0.0738%30 Sept →
nuke13–90.0220%30 Sept →
dust211–13-0.0429%30 Sept →
nuke8–80.0621%29 Sept →
poseidon8–80.0425%29 Sept →
debris3–90.0329%29 Sept →
nuke8–80.1125%29 Sept →
inferno9–60.0635%29 Sept →
inferno8–80.0435%29 Sept →
nuke13–8-0.0529%28 Sept →
train3–10.0360%28 Sept →
dust212–12-0.0347%28 Sept →
mirage1–130.0278%28 Sept →
dust212–12-0.0532%28 Sept →
vertigo13–4-0.069%28 Sept →
office3–13-0.1060%28 Sept →
vertigo4–13-0.0425%28 Sept →
vertigo13–40.0720%28 Sept →
shelter2–13-0.0344%27 Sept →
dust24–13-0.0345%27 Sept →
mirage13–7-0.0635%27 Sept →
nuke5–130.0247%27 Sept →
cache10–130.1031%27 Sept →
cache4–13-0.0222%26 Sept →
mirage13–20.0538%26 Sept →
nuke6–13-0.0234%26 Sept →
mirage8–130.0522%25 Sept →
nuke13–10-0.0415%24 Sept →
dust25–130.0342%24 Sept →
dust213–6-0.0128%24 Sept →
ancient13–10.0145%24 Sept →
mirage13–10-0.0223%22 Sept →
vertigo5–13-0.0440%22 Sept →
mirage13–80.0824%19 Sept →
dust29–13-0.0929%17 Sept →
nuke13–100.0454%17 Sept →
nuke13–20.0641%17 Sept →
dust26–13-0.0817%17 Sept →
dust23–13-0.0920%17 Sept →
dust28–13-0.0930%17 Sept →
ancient4–13-0.0567%17 Sept →
nuke13–2-0.0213%16 Sept →
dust29–13-0.0540%14 Sept →
nuke3–130.0142%14 Sept →
vertigo10–130.0427%14 Sept →
fachwerk1–13-0.0927%14 Sept →
mirage13–9-0.0818%13 Sept →
cache3–130.0121%13 Sept →
dust23–13-0.0359%13 Sept →
nuke10–13-0.0537%11 Sept →
dust213–90.0017%11 Sept →
mirage7–130.0120%11 Sept →
vertigo13–80.0622%10 Sept →
mirage12–120.0115%8 Sept →
cache13–100.0213%8 Sept →
mirage6–13-0.0144%8 Sept →
mirage9–13-0.0146%6 Sept →
dust24–13-0.0010%30 Aug →
dust23–3-0.063%30 Aug →
dust29–6-0.011%30 Aug →
ancient2–13-0.003%30 Aug →
cache3–13-0.109%30 Aug →
mirage6–13-0.0232%26 Aug →
dust28–13-0.0519%26 Aug →
dust24–13-0.0022%25 Aug →
dust27–13-0.0227%25 Aug →
cache7–130.0538%21 Aug →
dust213–60.0724%21 Aug →
dust23–13-0.0337%21 Aug →
dust29–13-0.0335%18 Aug →
dust213–110.0030%18 Aug →
cache6–13-0.0850%17 Aug →
dust213–10-0.0539%16 Aug →
dust27–13-0.0335%11 Aug →
dust213–4-0.0231%11 Aug →
dust27–130.0135%11 Aug →
dust22–13-0.0022%11 Aug →
anubis4–13-0.0035%8 Aug →
vertigo13–11-0.0330%8 Aug →
cache8–130.0217%7 Aug →
office2–130.0963%6 Aug →
dust213–50.0448%6 Aug →
boulder9–130.0133%3 Aug →
vertigo11–13-0.0329%3 Aug →
vertigo11–13-0.0537%3 Aug →

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.