Paradise

Paradise — CS2 Stats

SE76561198272853291[U:1:312587563]Steam profile ↗✓ No bans

1,135Tracked matches46%Win rate2020Tracked since
4,294Hours in CS2Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
CSDB Leaderboard#74550 of 260020 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (65 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 1,135
+13.1ppWin rate · 33.3% → 46.4%

Rating over time

Premier CS Rating: 20,644 -5,214 24 Apr – 1 Sept · 10 days played
20,64426,564peak 26,56424 Apr1 Sept
26,564Peak Premier in tracked matches
48Days played since 2025-04-24

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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate50.4%48.2%50.9%meets
Shot accuracy13.3%13.2%13.7%0.4% short
Kill/death ratio0.851.071.090.23 short
Match win rate40.7%46.9%48.4%7.7% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGParadiseFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning50
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY45–46–9Last 10045%Win rateLWLWWWWLLL

Last 10 vs previous 10: +10pp win rate · −0.05 avg rating · −4.2pp headshot accuracy · +50ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 21%
  • Avg reaction 598ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 20%
  • Avg reaction 618ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 593ms

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).

Aim6.7
Utility4.2
Positioning5.0
Opening Duels2.1
Clutch4.0

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.

Your pro match

iM

Plays most like iM 96% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

T-side openings. Opening success drops from 43% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim6.7
Positioning5.0
Utility4.2
Mechanics4.8
Opening Duels1.7
Win Impact3.8

Composite 4.9/10 (Developing), 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 -0.00 → last ⅓ avg -0.01
Reaction time597ms−45ms
first ⅓ avg 641ms → last ⅓ avg 597ms
Headshot accuracy22.2%+2.9%
first ⅓ avg 19.3% → last ⅓ avg 22.2%

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

0.35Best match rating · 9–4 · inferno, 15 Feb →
55%Best headshot accuracy · 8–13 · office, 19 Mar →
422msFastest reaction time · 5–13 · inferno, 24 May →
13–1Biggest win · ancient, 29 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 73% over 11overpassWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC3816–2242%0.01
anubisD155–1033%0.00
ancientS118–373%0.01
mirageD93–633%0.03
nukeB84–450%-0.01
dust2S64–267%-0.00
overpassD51–420%0.02
train—32–167%0.00
cache—21–150%-0.01
office—10–10%-0.02
vertigo—10–10%-0.05
jura—11–0100%0.04

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

151,194Lifetime kills
0.85K/D
7,120Matches
40.7%Match win rate
50.4%Headshot % · Top 50% of Level 9 players
13.3%Shot accuracy · Top 50% of Level 9 players
19,690MVPs
3,481Hours (in match)
4,745Bombs planted
2,222Bombs defused

Most-used weapons

AK-4750,225
AWP22,405
MP92,789
P2502,656
SSG 082,435

Lifetime map wins

15,994inferno
7,672dust2
3,920vertigo
3,578train
3,262nuke
723cbble
217lake
107safehouse

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

Faceit stats

Combat

464Matches
53%Win rate
1.22Avg K/D
85.6ADR
51%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno12855%1.2518.3
Ancient8955%1.2619.1
Anubis8457%1.2315.7
Nuke4050%1.2118.4
Mirage3749%1.1116.5
Vertigo3534%1.0417.7
Dust22552%1.3620.9
Overpass1443%1.3019.6

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.

22.7%Headshot accuracy
35.5%Accuracy (enemy spotted)
40.4%Spray accuracy
71.6%Counter-strafing
11.9°Preaim
591msReaction time
27.9%T opening success
43.4%CT opening success
0.46Enemies flashed / flash
0.6%Flash assists
7.41HE damage / grenade
5.63Flashes / 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 0.4558 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 27.8885% — below the 40% mark we flag

Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0522%3 Oct →
ancient13–8-0.0621%3 Oct →
ancient9–13-0.0725%22 Sept →
ancient12–2-0.0524%22 Sept →
inferno13–6-0.0315%22 Sept →
anubis13–10-0.0218%2 Sept →
inferno13–9-0.0217%2 Jul →
overpass2–13-0.0330%2 Jul →
anubis3–13-0.0619%2 Jul →
anubis5–13-0.0613%5 Jun →
inferno13–5-0.0225%5 Jun →
inferno16–140.0324%1 Jun →
inferno3–13-0.0623%1 Jun →
inferno13–3-0.0229%31 May →
inferno15–150.0428%30 May →
anubis6–130.0033%30 May →
inferno13–7-0.0223%28 May →
inferno11–130.0117%28 May →
inferno12–120.0619%27 May →
inferno8–13-0.0124%27 May →
inferno8–13-0.0315%25 May →
inferno13–70.0119%25 May →
inferno6–13-0.0424%9 May →
anubis13–60.0419%4 May →
inferno13–80.0520%4 May →
ancient7–130.0115%3 May →
anubis6–130.0117%3 May →
inferno7–13-0.0216%2 May →
inferno13–80.0247%2 May →
inferno5–13-0.0544%2 May →
cache6–13-0.0414%2 May →
anubis9–130.0218%2 May →
anubis10–13-0.0217%2 May →
overpass4–130.0618%2 May →
inferno12–12-0.0115%2 May →
inferno11–130.0823%2 May →
nuke9–30.1314%2 May →
inferno9–50.0917%2 May →
inferno8–80.1015%2 May →
inferno5–130.0322%2 May →
mirage12–120.0418%1 May →
cache13–70.0118%1 May →
inferno13–7-0.0028%28 Apr →
anubis8–130.0016%26 Apr →
nuke1–13-0.1419%26 Apr →
ancient13–70.0628%25 Apr →
anubis13–110.0614%23 Apr →
inferno13–9-0.0414%11 Apr →
inferno10–13-0.0119%6 Apr →
anubis10–13-0.0422%1 Apr →
anubis11–130.0318%1 Apr →
anubis13–60.0721%1 Apr →
mirage11–70.0423%1 Apr →
mirage12–12-0.0226%26 Mar →
mirage9–130.1133%26 Mar →
overpass2–130.0226%26 Mar →
nuke10–13-0.0428%22 Mar →
nuke13–9-0.0214%20 Mar →
inferno13–70.0434%19 Mar →
office8–13-0.0255%19 Mar →
mirage8–130.1022%18 Mar →
inferno4–90.0229%15 Feb →
inferno9–40.3523%15 Feb →
ancient15–15-0.0016%11 Dec →
nuke13–90.0222%10 Dec →
train13–9-0.0414%10 Dec →
nuke13–110.0519%10 Dec →
vertigo5–9-0.0531%23 Sept →
inferno3–9-0.0734%22 Sept →
train14–160.0015%16 Sept →
inferno9–13-0.0617%30 Aug →
overpass3–13-0.0113%30 Aug →
ancient13–20.1024%30 Aug →
anubis13–40.0516%22 Aug →
inferno10–13-0.0415%22 Aug →
mirage15–15-0.0327%18 Aug →
dust213–5-0.0221%18 Aug →
overpass6–10.0613%18 Aug →
inferno13–11-0.0418%14 Aug →
ancient13–50.0014%14 Aug →
nuke1–13-0.1412%14 Aug →
jura13–110.0419%30 Jul →
ancient13–90.0211%30 Jul →
train13–20.0526%22 Jul →
dust24–13-0.0214%22 Jul →
inferno5–13-0.0721%24 May →
inferno13–100.0115%14 May →
nuke15–150.0330%30 Apr →
anubis8–13-0.0419%30 Apr →
mirage13–30.0716%30 Apr →
dust211–130.0221%30 Apr →
dust213–110.0331%29 Apr →
ancient13–10.0614%29 Apr →
dust213–40.0114%29 Apr →
inferno6–130.0116%27 Apr →
ancient13–3-0.0114%26 Apr →
mirage7–13-0.0324%26 Apr →
mirage13–6-0.0224%25 Apr →
dust213–8-0.0324%25 Apr →
inferno14–16-0.0115%24 Apr →

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.