PeterTheViking

PeterTheViking — CS2 Stats

76561198831256882[U:1:870991154]Steam profile ↗✓ No bans

2,512Tracked matches38%Win rate2020Tracked since
CSDB Rating3.4 LearningPositional Player
Premier CS Rating6,457Light Blue band · top ~71.8% of ranked players (population est.)
FaceitLevel 4 · 883 ELOTop 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (4 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: 6,457 +1,458 28 May – 23 Oct · 18 days played
4,4256,457peak 6,45728 May23 Oct
Faceit ELO: 883 +0 30 Aug – 25 Sept · 6 observations
883883peak 88330 Aug25 Sept
6,457Peak Premier in tracked matches
883Highest Faceit ELO seen on CSDB
39Days played since 2026-05-28

Faceit ELO

  • At peak — 883
  • 0 over 30 days · steady
  • Next: Level 4 at 901 — 18 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-30
  • Level 2 first seen 2026-08-30

Premier CS Rating

  • At peak — 6,457
  • +1,767 over 30 days · improving
  • Next: Blue band at 10,000 — 3,543 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-25

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.

Share this profile

CSDB.GGPeterTheVikingFACEITLevel 4 · 883 ELOSTANDINGTop 81.0% of rankedPREMIER6,457 · Light Blue band30 DAYS0 ELOPEAK ELO883csdb.gg/stats

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Performance scores

Aim53
Positioning33
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY37–60–3Last 10037%Win rateWWLLLWLLWL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −2.9pp headshot accuracy · +52ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 611ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 702ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 676ms

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 (+1.1 against its own average).

Aim5.3
Utility1.9
Positioning3.3
Opening Duels0.3
Clutch3.2

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

iM

Plays most like iM 94% playstyle similarity

Most alike: positioning profile, aim profile.

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

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

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

Reaction time. 688ms 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

Aim5.3
Positioning3.3
Utility1.9
Mechanics6.9
Opening Duels1.3
Win Impact1.0

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time697ms−31ms
first ⅓ avg 728ms → last ⅓ avg 697ms
Headshot accuracy17.0%−5.5%
first ⅓ avg 22.5% → last ⅓ avg 17.0%

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

0.19Best match rating · 13–2 · inferno, 30 May →
44%Best headshot accuracy · 13–9 · inferno, 30 Jul →
500msFastest reaction time · 8–8 · inferno, 23 Jun →
13–1Biggest win · mirage, 24 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
8–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 71% over 7anubisWeakest map · 0% over 9
MapGradePlayedRecordWin rateAvg rating
ancientD257–1828%-0.03
nukeB189–950%0.00
infernoB158–753%0.02
cacheD93–633%-0.04
anubisD90–90%-0.04
mirageD72–529%-0.04
overpassS75–271%0.02
train—42–250%-0.05
dust2—30–30%-0.06
vertigo—21–150%-0.07
poseidon—10–10%-0.18

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

718Matches
47%Win rate
0.88Avg K/D
65.2ADR
49%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno9851%1.0212.8
Nuke8759%0.9212.8
Ancient7344%0.9214.0
Anubis3845%1.0012.9
Overpass2552%0.9311.5
Train1656%1.2515.1
Vertigo875%1.0315.8
Dust2617%0.7310.5

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.

16.3%Headshot accuracy
30.8%Accuracy (enemy spotted)
34.2%Spray accuracy
81.1%Counter-strafing
9.1°Preaim
688msReaction time
40.5%T opening success
28.2%CT opening success
0.21Enemies flashed / flash
2.1%Flash assists
6.57HE damage / grenade
1.47Flashes / 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 0.2125 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 28.2386% — below the 40% mark we flag

Spend your practice time on Anubis

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–50.028%23 Oct →
nuke13–3-0.027%23 Oct →
ancient10–13-0.1111%19 Oct →
nuke9–130.0016%12 Oct →
ancient3–13-0.0615%12 Oct →
nuke9–20.0126%12 Oct →
dust213–16-0.0611%12 Oct →
mirage5–13-0.0614%12 Oct →
vertigo13–7-0.0913%9 Oct →
dust26–13-0.1110%9 Oct →
vertigo10–13-0.0520%9 Oct →
overpass1–13-0.0711%9 Oct →
ancient7–13-0.058%9 Oct →
train11–13-0.1120%9 Oct →
cache10–13-0.0416%9 Oct →
inferno10–130.0619%9 Oct →
nuke8–130.0326%9 Oct →
ancient13–70.0012%4 Oct →
cache9–13-0.088%4 Oct →
cache13–30.0321%30 Sept →
mirage13–100.0418%24 Sept →
mirage13–10.0224%24 Sept →
mirage2–13-0.1138%23 Sept →
mirage15–15-0.0118%23 Sept →
nuke11–3-0.0512%19 Sept →
mirage8–13-0.0614%19 Sept →
anubis10–13-0.0031%18 Sept →
cache1–13-0.0316%18 Sept →
ancient13–80.0817%18 Sept →
inferno13–110.0614%16 Sept →
ancient9–13-0.0441%16 Sept →
dust25–13-0.0212%9 Sept →
nuke11–13-0.0715%9 Sept →
nuke11–13-0.0114%9 Sept →
nuke13–16-0.0226%9 Sept →
nuke16–140.0313%3 Sept →
anubis8–13-0.0412%3 Sept →
inferno13–20.0620%3 Sept →
ancient13–11-0.0632%2 Sept →
ancient6–13-0.0919%2 Sept →
anubis5–13-0.1016%2 Sept →
anubis6–13-0.1241%31 Aug →
inferno13–11-0.0425%21 Aug →
nuke10–13-0.0222%21 Aug →
inferno13–70.0618%14 Aug →
ancient13–4-0.0140%14 Aug →
ancient11–13-0.0820%12 Aug →
anubis6–13-0.1027%9 Aug →
ancient11–13-0.0717%9 Aug →
train5–13-0.0330%30 Jul →
ancient10–130.0515%30 Jul →
inferno13–90.0444%30 Jul →
anubis9–130.0335%30 Jul →
anubis10–130.0118%30 Jul →
mirage6–13-0.0718%23 Jul →
ancient11–13-0.0716%23 Jul →
overpass6–13-0.0233%21 Jul →
anubis9–13-0.0617%21 Jul →
cache16–14-0.0317%21 Jul →
ancient13–8-0.0428%17 Jul →
nuke13–80.0211%17 Jul →
train12–70.0038%17 Jul →
anubis8–130.0318%16 Jul →
ancient7–130.0134%16 Jul →
nuke5–13-0.0424%14 Jul →
overpass13–10.0417%14 Jul →
cache8–13-0.0818%14 Jul →
nuke13–50.0438%11 Jul →
nuke9–130.0524%11 Jul →
cache6–13-0.0420%11 Jul →
ancient15–150.0421%9 Jul →
cache13–100.0732%3 Jul →
train13–10-0.0430%3 Jul →
inferno8–13-0.0413%3 Jul →
nuke13–3-0.0226%3 Jul →
inferno7–13-0.0520%3 Jul →
cache9–13-0.1519%2 Jul →
ancient11–13-0.0930%1 Jul →
inferno13–10-0.0124%1 Jul →
ancient10–13-0.0613%24 Jun →
poseidon5–9-0.1831%23 Jun →
nuke9–40.0442%23 Jun →
inferno8–8-0.0417%23 Jun →
nuke10–130.0322%12 Jun →
overpass9–70.0010%12 Jun →
nuke13–90.0921%11 Jun →
ancient8–13-0.0230%11 Jun →
overpass16–140.0519%9 Jun →
ancient3–13-0.0512%9 Jun →
inferno11–130.0212%4 Jun →
ancient13–11-0.0418%4 Jun →
ancient2–13-0.0425%3 Jun →
overpass13–60.1221%30 May →
ancient8–13-0.0530%30 May →
inferno5–13-0.0515%30 May →
inferno13–20.1929%30 May →
inferno11–130.0225%30 May →
ancient11–13-0.0216%30 May →
ancient13–50.0122%30 May →
overpass13–70.0419%28 May →

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 →

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