Cordial Planet

Cordial Planet — CS2 Stats

76561198074122000[U:1:113856272]Steam profile ↗✓ No bans

762Tracked matches47%Win rate2021Tracked since
CSDB Rating5.9 SolidPositional Player
Premier CS Rating16,500Purple band · top ~22.4% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (31 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: 16,500 +1,501 26 Jun – 30 Sept · 18 days played
14,99918,336peak 18,33626 Jun30 Sept
18,564Peak Premier in tracked matches
892Highest Faceit ELO seen on CSDB
46Days played since 2026-06-21

Faceit ELO

  • At peak — 892
  • Next: Level 4 at 901 — 9 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-09
  • Level 2 first seen 2026-09-09

Premier CS Rating

  • 1,836 below peak (18,336)
  • +1,007 over 90 days
  • Next: Pink band at 20,000 — 3,500 to go
  • Reached: Purple band · Blue band · Light Blue band

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.GGCordial PlanetPREMIER16,500 · Purple bandPEAK ELO892csdb.gg/stats

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Performance scores

Aim80
Positioning57
Utility20

0–100 skill scores via Leetify.

Recent form

COLD51–48–1Last 10051%Win rateLWLLLLWLLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +0.4pp headshot accuracy · −86ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 562ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 573ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 616ms

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 (+2.5 against its own average).

Aim8.0
Utility2.0
Positioning5.7
Opening Duels2.9
Clutch2.4

Excellent counter-strafingStrong T-side openerLimited 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

donk

Plays most like donk 80% playstyle similarity

Most alike: aim profile, positioning profile.

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

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.

CT openings. Opening success drops from 54% on T to 26% on CT — first contacts on the defending side are being lost.

Reaction time. 654ms 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

Aim8.0
Positioning5.7
Utility2.0
Mechanics8.8
Opening Duels3.0
Win Impact3.9

Composite 5.9/10 (Solid), 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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time650ms−13ms
first ⅓ avg 663ms → last ⅓ avg 650ms
Headshot accuracy18.2%+0.2%
first ⅓ avg 18.0% → last ⅓ avg 18.2%

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

0.21Best match rating · 9–1 · poseidon, 27 Jun →
100%Best headshot accuracy · 3–0 · cache, 14 Jul →
453msFastest reaction time · 6–13 · vertigo, 24 Sept →
13–0Biggest win · mirage, 1 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–13In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 60% over 5dust2Weakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
mirageA2916–1355%-0.00
ancientB178–947%0.00
dust2C167–944%-0.01
cacheB136–746%-0.01
anubisB105–550%-0.00
nukeA53–260%-0.01
inferno—42–250%-0.01
vertigo—31–233%0.03
fachwerk—11–0100%-0.03
poseidon—11–0100%0.21
overpass—11–0100%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

225Matches
54%Win rate
1.02Avg K/D
79.9ADR
43%Headshot %

Clutches & streaks

32%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4262%1.0315.3
Dust22654%0.9515.0
Ancient2259%1.1016.3
Anubis1650%1.0916.8
Cache1258%0.9313.8
Inferno650%0.9911.8
Overpass560%1.0616.6
Nuke560%0.7011.0

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.

18.2%Headshot accuracy
37.3%Accuracy (enemy spotted)
39.8%Spray accuracy
89.5%Counter-strafing
8.5°Preaim
654msReaction time
54.0%T opening success
25.8%CT opening success
0.31Enemies flashed / flash
1.3%Flash assists
4.73HE damage / grenade
2.84Flashes / 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 0.3132 — 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 25.8099% — below the 40% mark we flag

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.

44% win rate across 16 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
cache11–13-0.0218%30 Sept →
ancient13–100.0518%27 Sept →
mirage5–13-0.0119%26 Sept →
vertigo6–13-0.0712%24 Sept →
inferno11–13-0.0413%6 Sept →
mirage11–13-0.0413%18 Aug →
ancient13–8-0.0219%16 Aug →
dust214–160.0324%15 Aug →
mirage9–13-0.0019%14 Aug →
mirage13–11-0.0120%9 Aug →
ancient6–13-0.0410%7 Aug →
mirage14–16-0.0616%7 Aug →
ancient13–110.0215%5 Aug →
mirage13–110.0011%5 Aug →
mirage8–13-0.0315%4 Aug →
mirage13–40.0233%3 Aug →
ancient13–80.0117%3 Aug →
anubis11–13-0.0619%2 Aug →
dust211–13-0.0318%2 Aug →
cache2–13-0.0717%2 Aug →
mirage10–130.0116%2 Aug →
dust213–40.0622%1 Aug →
mirage13–0-0.020%1 Aug →
mirage13–110.0129%30 Jul →
mirage3–13-0.0315%30 Jul →
cache13–7-0.0129%29 Jul →
vertigo13–40.1124%29 Jul →
mirage11–130.0222%28 Jul →
mirage13–100.0715%26 Jul →
anubis13–60.0623%26 Jul →
inferno13–70.0516%26 Jul →
mirage13–50.0226%26 Jul →
ancient6–13-0.0815%26 Jul →
ancient12–16-0.0313%22 Jul →
dust29–13-0.0417%22 Jul →
anubis13–90.0311%22 Jul →
cache15–15-0.0222%21 Jul →
mirage13–16-0.0611%21 Jul →
anubis7–130.0050%19 Jul →
mirage3–00.0020%19 Jul →
cache13–7-0.0123%19 Jul →
mirage13–3-0.0442%18 Jul →
ancient9–130.0519%18 Jul →
cache8–130.034%18 Jul →
dust27–13-0.0018%18 Jul →
ancient13–3-0.0114%17 Jul →
cache8–130.0219%17 Jul →
mirage13–30.0210%16 Jul →
anubis16–13-0.0318%16 Jul →
ancient14–160.0120%14 Jul →
mirage8–13-0.0317%14 Jul →
dust213–4-0.000%14 Jul →
cache3–0-0.07100%14 Jul →
nuke7–13-0.0721%13 Jul →
nuke13–8-0.0228%12 Jul →
inferno4–13-0.049%12 Jul →
mirage6–13-0.0125%12 Jul →
ancient8–13-0.047%12 Jul →
mirage13–5-0.0315%12 Jul →
fachwerk13–10-0.0311%11 Jul →
cache16–140.0113%11 Jul →
dust28–13-0.0616%11 Jul →
anubis13–6-0.0229%10 Jul →
cache11–13-0.0312%10 Jul →
mirage13–80.0714%10 Jul →
dust213–7-0.0223%10 Jul →
ancient10–130.0036%8 Jul →
dust213–8-0.0832%8 Jul →
cache13–50.0520%8 Jul →
dust26–13-0.0126%7 Jul →
ancient13–8-0.0514%5 Jul →
mirage13–110.0421%5 Jul →
anubis9–13-0.0417%3 Jul →
anubis11–13-0.058%1 Jul →
nuke13–11-0.0025%1 Jul →
cache8–13-0.0415%1 Jul →
mirage9–130.0120%1 Jul →
cache13–90.0819%30 Jun →
dust219–150.0415%30 Jun →
mirage13–60.0316%29 Jun →
ancient13–50.0217%29 Jun →
inferno13–110.0015%28 Jun →
ancient13–80.0919%28 Jun →
nuke13–160.0513%28 Jun →
dust28–130.0118%28 Jun →
mirage16–130.0220%28 Jun →
dust213–50.0114%27 Jun →
mirage13–80.009%27 Jun →
poseidon9–10.2119%27 Jun →
dust213–70.0024%26 Jun →
ancient10–130.0411%26 Jun →
mirage8–13-0.0614%25 Jun →
anubis14–160.0213%25 Jun →
vertigo10–130.0515%24 Jun →
anubis13–80.0425%23 Jun →
dust24–13-0.0129%22 Jun →
nuke13–80.0021%22 Jun →
dust211–13-0.0218%22 Jun →
ancient5–130.0324%22 Jun →
overpass13–50.0210%21 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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