Padde

Padde — CS2 Stats

76561198156118130[U:1:195852402]Steam profile ↗✓ No bans

1,386Tracked matches45%Win rate2022Tracked since
CSDB Rating3.9 LearningPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim40
Positioning36
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY44–45–11Last 10044%Win rateTWLLTWWLWW

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating · +1.3pp headshot accuracy · −6ms 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

  • 1–2–2 · 20% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 17%
  • Avg reaction 641ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 681ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 684ms

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 (+0.9 against its own average).

Aim4.0
Utility3.1
Positioning3.6
Opening Duels1.3

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

jL

Plays most like jL 83% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 727ms 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

Aim4.0
Positioning3.6
Utility3.1
Mechanics7.0
Opening Duels1.5
Win Impact3.3

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-0.06−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.06
Reaction time654ms−84ms
first ⅓ avg 738ms → last ⅓ avg 654ms
Headshot accuracy13.5%−0.1%
first ⅓ avg 13.6% → last ⅓ avg 13.5%

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 · 9–2 · nuke, 22 Aug →
42%Best headshot accuracy · 10–13 · dust2, 17 Apr →
492msFastest reaction time · 9–4 · debris, 4 Sept →
13–0Biggest win · dust2, 29 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 60% over 5eldoradoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C239–1439%-0.04
poseidonC167–944%-0.06
nukeB105–550%0.00
debrisC83–538%-0.08
vertigoC83–538%-0.06
anubisC83–538%-0.04
eldoradoD62–433%-0.05
cacheA53–260%-0.04
inferno—43–175%-0.07
overpass—32–167%-0.03
ancient—21–150%-0.06
boulder—11–0100%0.04
shelter—10–10%-0.08
fachwerk—11–0100%-0.04
office—10–10%-0.03
alpine—11–0100%-0.05
mirage—10–10%-0.04
stronghold—10–10%-0.08

Across the last 100 tracked matches.

Faceit stats

Combat

3Matches
0%Win rate
0.42Avg K/D
—ADR
54%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke20%0.5310.5
Mirage10%0.203.0

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.

15.8%Headshot accuracy
30.9%Accuracy (enemy spotted)
30.5%Spray accuracy
81.6%Counter-strafing
11.2°Preaim
727msReaction time
28.0%T opening success
41.6%CT opening success
0.63Enemies flashed / flash
9.8%Flash assists
8.81HE damage / grenade
1.83Flashes / 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 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 727.4395ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 1.8325 — below the 4 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 28.0127% — below the 40% mark we flag

Spend your practice time on Vertigo

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
eldorado8–8-0.1621%6 Sept →
poseidon9–4-0.0012%6 Sept →
debris2–9-0.1319%5 Sept →
eldorado4–9-0.0315%5 Sept →
debris8–8-0.0619%5 Sept →
debris9–20.1012%5 Sept →
eldorado9–40.0614%5 Sept →
poseidon6–9-0.165%5 Sept →
poseidon9–30.0918%4 Sept →
poseidon9–5-0.0827%4 Sept →
poseidon5–9-0.0926%4 Sept →
poseidon9–20.0413%4 Sept →
poseidon8–8-0.0420%4 Sept →
poseidon4–9-0.0614%4 Sept →
debris9–4-0.0814%4 Sept →
eldorado1–9-0.140%1 Sept →
debris9–4-0.160%1 Sept →
poseidon9–6-0.1227%22 Aug →
debris7–9-0.1019%22 Aug →
debris4–9-0.1016%22 Aug →
eldorado8–8-0.043%22 Aug →
vertigo4–9-0.090%22 Aug →
nuke9–20.2416%22 Aug →
vertigo8–8-0.089%18 Jul →
eldorado9–6-0.0015%18 Jul →
debris8–8-0.105%18 Jul →
boulder13–40.046%18 Jul →
shelter12–12-0.0814%18 Jul →
fachwerk13–7-0.0417%18 Jul →
poseidon2–9-0.1817%18 Jul →
vertigo8–8-0.0913%3 Jul →
inferno6–9-0.1217%3 Jul →
overpass6–9-0.174%3 Jul →
dust27–13-0.0912%12 Jun →
dust213–8-0.0232%12 Jun →
dust23–13-0.0615%5 Jun →
cache7–13-0.0813%5 Jun →
dust213–11-0.0610%4 Jun →
cache11–13-0.0611%4 Jun →
dust24–13-0.089%9 May →
cache13–11-0.0514%7 May →
vertigo5–9-0.1613%3 May →
poseidon9–1-0.0112%3 May →
poseidon9–50.0520%3 May →
vertigo9–10.1913%3 May →
cache13–60.0017%2 May →
cache13–5-0.016%2 May →
poseidon7–9-0.1518%25 Apr →
nuke8–8-0.0229%25 Apr →
poseidon4–9-0.154%25 Apr →
office5–13-0.0316%23 Apr →
inferno9–6-0.0518%19 Apr →
overpass9–50.0710%19 Apr →
vertigo9–7-0.107%19 Apr →
vertigo9–6-0.095%19 Apr →
inferno9–6-0.1014%19 Apr →
dust210–13-0.0842%17 Apr →
dust25–130.0220%17 Apr →
dust213–8-0.0316%17 Apr →
anubis5–13-0.077%4 Apr →
anubis13–7-0.0817%4 Apr →
anubis13–7-0.0114%4 Apr →
poseidon6–9-0.1125%4 Apr →
anubis4–13-0.045%4 Apr →
nuke4–90.0311%4 Apr →
dust28–13-0.037%2 Apr →
dust28–13-0.0216%2 Apr →
dust211–13-0.0327%29 Mar →
dust24–13-0.0325%29 Mar →
dust213–00.0112%29 Mar →
dust213–100.0320%28 Mar →
dust213–7-0.0510%28 Mar →
dust211–13-0.0718%28 Mar →
inferno9–70.0023%7 Mar →
dust28–13-0.0916%28 Feb →
overpass13–40.0313%15 Feb →
dust26–13-0.0723%15 Feb →
dust216–14-0.0512%15 Feb →
nuke5–9-0.1610%15 Feb →
dust29–13-0.0015%14 Feb →
nuke13–11-0.0013%14 Feb →
dust213–9-0.036%14 Feb →
anubis6–13-0.059%14 Feb →
nuke13–8-0.0113%14 Feb →
alpine13–11-0.059%14 Feb →
mirage10–13-0.0425%13 Feb →
nuke8–13-0.0110%13 Feb →
nuke9–60.049%12 Feb →
stronghold8–13-0.0815%12 Feb →
nuke9–60.0222%10 Feb →
vertigo7–9-0.0419%10 Feb →
ancient10–13-0.1012%8 Feb →
anubis15–15-0.0711%8 Feb →
ancient16–13-0.036%7 Feb →
dust21–13-0.1011%7 Feb →
anubis4–13-0.058%7 Feb →
nuke5–13-0.077%7 Feb →
poseidon8–80.025%7 Feb →
dust213–8-0.039%7 Feb →
anubis13–60.028%6 Feb →

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 →

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