Pete4455

Pete4455 — CS2 Stats

FI76561199223888427[U:1:1263622699]Steam profile ↗✓ No bans

198Tracked matches44%Win rate2024Tracked since
CSDB Rating1.7 LearningSupport
Premier CS Rating1,658Grey band · top ~93% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (26 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: 1,658 +658 11 Apr – 19 Sept · 21 days played
1,0001,658peak 1,65811 Apr19 Sept
1,658Peak Premier in tracked matches
45Days played since 2026-04-11

Premier CS Rating

  • At peak — 1,658
  • +113 over 30 days · steady
  • +547 over 90 days
  • Next: Light Blue band at 5,000 — 3,342 to go

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

Share this profile

CSDB.GGPete4455PREMIER1,658 · Grey bandcsdb.gg/stats

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Performance scores

Aim4
Positioning36
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY43–52–5Last 10043%Win rateWLTWWLTWWW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · −2.3pp headshot accuracy · +32ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 4%
  • Avg reaction 702ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 5%
  • Avg reaction 723ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 7%
  • Avg reaction 707ms

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 (+2.5 against its own average).

Aim0.4
Utility4.5
Positioning3.6
Opening Duels0.0
Clutch0.0

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.

Strengths & areas to improve

Areas to improve

Reaction time. 735ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 49% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.4
Positioning3.6
Utility4.5
Mechanics0.0
Opening Duels0.2
Win Impact3.1

Composite 1.7/10 (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-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time738ms−116ms
first ⅓ avg 854ms → last ⅓ avg 738ms
Headshot accuracy6.8%−2.1%
first ⅓ avg 8.9% → last ⅓ avg 6.8%

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

0.06Best match rating · 13–10 · dust2, 19 Apr →
23%Best headshot accuracy · 1–9 · vertigo, 20 Apr →
539msFastest reaction time · 9–13 · inferno, 1 Aug →
13–1Biggest win · cache, 9 May →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

trainBest map · 63% over 8dust2Weakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
nukeB2311–1248%-0.04
dust2C176–1135%-0.05
infernoC135–838%-0.06
cacheA116–555%-0.04
ancientC114–736%-0.04
mirageC104–640%-0.05
trainA85–363%-0.04
anubis—31–233%-0.04
overpass—21–150%-0.09
vertigo—20–20%-0.17

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches
0%Win rate
0.34Avg K/D
43.6ADR
32%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.226.5
Dust210%0.356.0
Ancient10%0.699.0
Nuke10%0.213.0

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.

6.6%Headshot accuracy
25.9%Accuracy (enemy spotted)
28.7%Spray accuracy
48.7%Counter-strafing
13.9°Preaim
735msReaction time
31.5%T opening success
25.0%CT opening success
0.56Enemies flashed / flash
1.4%Flash assists
4.88HE damage / grenade
10.82Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.9446° — above the 12° mark we flag

    Aim Training →
  2. 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 6.6103% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 735.3939ms — above the 700ms mark we flag

    Aim Training →
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.

35% win rate across 17 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
dust213–11-0.016%26 Sept →
nuke10–13-0.065%25 Sept →
nuke12–120.022%25 Sept →
train13–7-0.014%25 Sept →
nuke13–11-0.016%19 Sept →
dust29–130.017%19 Sept →
nuke12–120.028%19 Sept →
inferno13–8-0.056%18 Sept →
mirage13–5-0.104%18 Sept →
dust213–9-0.028%18 Sept →
train8–13-0.056%18 Sept →
nuke13–90.0113%18 Sept →
nuke12–12-0.119%18 Sept →
train13–3-0.086%18 Sept →
dust29–13-0.109%17 Sept →
nuke1–13-0.066%17 Sept →
inferno2–13-0.069%5 Sept →
inferno10–13-0.012%21 Aug →
nuke6–13-0.0115%18 Aug →
mirage4–13-0.083%15 Aug →
cache13–60.013%14 Aug →
cache13–90.0313%14 Aug →
nuke16–13-0.000%10 Aug →
mirage3–13-0.120%9 Aug →
dust28–13-0.0811%7 Aug →
anubis13–8-0.029%7 Aug →
ancient7–13-0.076%7 Aug →
cache9–13-0.114%7 Aug →
overpass10–13-0.086%7 Aug →
train10–13-0.0715%7 Aug →
nuke12–12-0.0914%7 Aug →
cache13–70.014%7 Aug →
nuke13–11-0.078%5 Aug →
inferno4–13-0.060%5 Aug →
mirage13–10-0.036%5 Aug →
dust213–8-0.0317%4 Aug →
mirage11–13-0.0210%4 Aug →
nuke13–5-0.018%4 Aug →
inferno9–13-0.050%4 Aug →
nuke13–11-0.0912%4 Aug →
inferno16–13-0.051%4 Aug →
inferno13–3-0.048%4 Aug →
dust28–13-0.0420%4 Aug →
ancient2–13-0.057%4 Aug →
mirage4–13-0.079%4 Aug →
inferno9–13-0.030%1 Aug →
anubis8–13-0.008%1 Aug →
ancient13–11-0.092%31 Jul →
cache13–10-0.0714%31 Jul →
inferno9–50.027%22 Jul →
vertigo3–9-0.175%22 Jul →
inferno2–9-0.135%22 Jul →
nuke1–13-0.027%18 Jul →
ancient13–5-0.025%15 Jul →
dust211–13-0.092%15 Jul →
nuke9–13-0.092%15 Jul →
ancient13–10-0.057%28 Jun →
dust212–12-0.139%28 Jun →
train13–4-0.029%25 Jun →
nuke9–13-0.020%24 Jun →
dust29–13-0.0713%22 Jun →
cache9–13-0.076%22 Jun →
train13–90.000%20 Jun →
cache10–13-0.0717%18 Jun →
cache6–13-0.115%18 Jun →
train13–9-0.084%13 Jun →
cache13–7-0.0517%13 Jun →
inferno5–13-0.120%11 Jun →
nuke13–10-0.0613%8 Jun →
inferno2–13-0.068%5 Jun →
dust29–13-0.0514%5 Jun →
cache4–13-0.028%5 Jun →
dust211–13-0.1214%2 Jun →
nuke9–13-0.0310%2 Jun →
nuke13–6-0.015%2 Jun →
ancient7–13-0.040%2 Jun →
nuke7–13-0.039%31 May →
ancient4–130.0216%30 May →
nuke13–5-0.1210%30 May →
ancient13–40.010%30 May →
nuke13–6-0.055%29 May →
cache13–10.018%9 May →
anubis0–13-0.080%9 May →
dust29–13-0.0713%8 May →
ancient5–13-0.073%4 May →
mirage13–4-0.0512%26 Apr →
nuke13–4-0.024%26 Apr →
inferno13–10-0.0714%26 Apr →
mirage11–13-0.045%25 Apr →
train7–13-0.058%25 Apr →
dust213–30.046%25 Apr →
mirage10–13-0.034%24 Apr →
overpass13–8-0.0911%20 Apr →
ancient6–13-0.068%20 Apr →
vertigo1–9-0.1723%20 Apr →
dust213–100.0616%19 Apr →
ancient10–13-0.039%13 Apr →
dust213–9-0.065%12 Apr →
mirage13–30.0221%12 Apr →
dust27–13-0.0413%11 Apr →

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 →

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