Hi_ItsPeter

Hi_ItsPeter — CS2 Stats

DK76561198411631514[U:1:451365786]Steam profile ↗✓ No bans

189Tracked matches40%Win rate2020Tracked since
2,294Hours in CS3Hrs last 2 wks
CSDB Rating3.9 LearningPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 189 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 72 days played since 7 Jan 2024. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 13,720 +2,143 2 Feb11 May · 9 days played
8,63413,720peak 13,7202 Feb11 May
13,720Peak Premier in tracked matches
72Days played since 2024-01-07

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 5 among CSDB-tracked players (n=12,017), 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 rate43.2%43.8%44.8%1.6% short
Shot accuracy19.2%12.0%12.4%above
Kill/death ratio1.121.021.04above
Match win rate39.5%44.7%45.2%5.8% short

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

Widest gap: Match win rate. 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.GGHi_ItsPeterFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.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

Aim42
Positioning48
Utility30

0–100 skill scores via Leetify.

Recent form

COLD43525Last 10043%Win rateLWWLLLLLLL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −4.9pp headshot accuracy · +39ms reaction

Win rate down 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 683ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 653ms

Last 20

  • 8111 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 633ms

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 PlayerPositioning stands above the rest of this profile (+0.9 against its own average).

Aim4.2
Utility3.0
Positioning4.8
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

m0NESY

Plays most like m0NESY 80% 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

Reaction time. 642ms 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

Aim4.2
Positioning4.8
Utility3.0
Mechanics4.6
Opening Duels3.5
Win Impact1.7

Composite 3.9/10 (Learning), 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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time637ms−10ms
first ⅓ avg 647ms → last ⅓ avg 637ms
Headshot accuracy16.1%+1.7%
first ⅓ avg 14.4% → last ⅓ avg 16.1%

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

0.18Best match rating · 13–0 · nuke, 9 Nov
30%Best headshot accuracy · 8–8 · inferno, 9 Jan
406msFastest reaction time · 5–13 · office, 30 Apr
13–0Biggest win · nuke, 9 Nov

Across the last 100 tracked matches.

Highlights

4Longest win streak
47In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 60% over 5infernoWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
mirageA31171455%-0.00
infernoD2061430%-0.04
overpassB136746%-0.01
nukeB136746%-0.00
dust2D124833%-0.02
ancientA53260%0.01
train2020%-0.02
vertigo2020%-0.09
cache110100%0.03
office1010%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,941Lifetime kills
1.12K/D · Top 50% of Level 5 players
3,708Matches
39.5%Match win rate
43.2%Headshot %
19.2%Shot accuracy · Top 5% of Level 5 players
8,903MVPs
1,078Hours (in match)
2,324Bombs planted
521Bombs defused

Most-used weapons

AK-4720,219
AWP7,183
AUG2,964
MP92,055
SG 5531,617

Lifetime map wins

5,072inferno
3,516dust2
1,331nuke
1,140train
278vertigo
65cbble
38ar_shoots
33safehouse

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

Faceit stats

Combat

79Matches
57%Win rate
1.06Avg K/D
ADR
40%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.7011.5
Anubis10%0.609.0
Vertigo1100%1.2222.0
Nuke1100%1.1813.0

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
31.1%Accuracy (enemy spotted)
34.1%Spray accuracy
70.5%Counter-strafing
11.0°Preaim
642msReaction time
40.0%T opening success
47.8%CT opening success
0.55Enemies flashed / flash
4.6%Flash assists
8.00HE damage / grenade
1.42Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.4234 — below the 4 mark we flag

    Grenade Lineups
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.

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
overpass4–13-0.036%2 Sept
dust213–6-0.0120%2 Sept
cache13–80.036%25 Aug
mirage9–13-0.0714%8 Jun
dust24–13-0.0221%26 May
inferno3–13-0.035%13 Apr
mirage4–13-0.0321%13 Apr
dust211–13-0.079%7 Apr
nuke7–13-0.0518%13 Mar
mirage4–13-0.0525%17 Feb
mirage13–60.0417%25 Jan
mirage2–13-0.1228%22 Jan
overpass13–30.0316%18 Jan
nuke13–10.0215%18 Jan
mirage13–40.0219%17 Jan
overpass10–130.0215%16 Jan
inferno8–8-0.0330%9 Jan
inferno9–50.0627%5 Jan
dust26–13-0.0514%17 Dec
nuke13–10.0116%4 Dec
overpass13–100.0820%19 Nov
overpass13–11-0.0821%14 Nov
nuke13–00.1819%9 Nov
train2–13-0.0117%9 Nov
mirage11–130.0115%2 Nov
inferno3–13-0.1016%2 Nov
overpass13–30.0319%2 Nov
overpass6–13-0.0210%16 Oct
mirage3–130.0211%30 Aug
mirage9–130.009%28 Jun
inferno6–13-0.052%13 Jun
nuke13–10-0.0516%10 Jun
dust29–130.0716%10 Jun
mirage11–130.1013%4 Jun
overpass3–13-0.007%28 May
nuke5–130.048%18 May
dust21–13-0.0218%16 May
dust213–30.0211%16 May
mirage13–40.0212%16 May
inferno8–8-0.0818%16 May
inferno10–13-0.0913%16 May
inferno12–5-0.0312%11 May
overpass7–130.049%8 May
mirage4–13-0.0310%7 May
inferno13–60.0515%1 May
nuke13–5-0.0115%1 May
inferno7–13-0.0316%30 Apr
office5–13-0.0511%30 Apr
mirage13–60.025%23 Apr
inferno12–12-0.0312%23 Apr
nuke11–13-0.0412%21 Apr
inferno13–70.029%20 Apr
dust213–40.0413%20 Apr
mirage7–13-0.0612%15 Mar
overpass12–4-0.0413%8 Mar
mirage13–30.0420%24 Feb
ancient3–13-0.0612%1 Feb
inferno16–12-0.0312%31 Jan
ancient13–00.076%31 Jan
mirage13–7-0.0316%21 Jan
overpass11–13-0.065%4 Dec
train10–13-0.0212%15 Nov
overpass5–13-0.1012%27 Sept
dust23–13-0.0413%15 Sept
mirage13–110.0812%14 Sept
nuke5–9-0.0311%7 Sept
vertigo5–9-0.1123%7 Sept
inferno11–13-0.048%3 Sept
nuke13–3-0.0010%3 Sept
mirage7–13-0.0413%3 Sept
mirage13–70.0313%29 Aug
dust29–13-0.0313%29 Aug
mirage13–10.139%26 Aug
nuke7–130.0215%17 Aug
dust213–5-0.0115%17 Aug
vertigo0–10-0.0726%17 Aug
inferno13–9-0.0412%15 Aug
mirage13–9-0.0413%14 Aug
nuke2–13-0.0716%11 Aug
overpass13–20.0218%11 Aug
inferno5–13-0.069%10 Aug
mirage13–7-0.0116%23 Jun
inferno6–13-0.0929%21 May
ancient13–40.038%13 May
mirage13–80.0219%13 May
dust24–13-0.0715%13 May
mirage8–13-0.0520%13 May
inferno11–13-0.0218%10 May
mirage13–10-0.0427%10 May
mirage7–130.0314%10 May
mirage6–13-0.069%3 Apr
mirage9–3-0.024%8 Feb
ancient10–13-0.0115%7 Feb
mirage13–11-0.0413%4 Feb
ancient13–6-0.008%2 Feb
mirage13–110.0411%1 Feb
mirage13–20.0418%27 Jan
inferno5–13-0.0918%21 Jan
inferno12–12-0.0213%16 Jan
nuke12–12-0.0311%7 Jan

Match data via Leetify.

Recent teammates

Milestones

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