Plons

Plons — CS2 Stats

76561197980743690[U:1:20477962]Steam profile ↗✓ No bans

2,288Tracked matches43%Win rate2020Tracked since
CSDB Rating2.7 LearningPositional Player
Premier CS Rating4,121Grey band · top ~82.5% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). 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: 4,121 +412 15 Aug – 3 Nov · 24 days played
3,6184,949peak 4,94915 Aug3 Nov
4,949Peak Premier in tracked matches
45Days played since 2026-07-27

Premier CS Rating

  • 828 below peak (4,949)
  • +42 over 30 days · steady
  • +412 over 90 days
  • Next: Light Blue band at 5,000 — 879 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.GGPlonsFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER4,121 · Grey bandcsdb.gg/stats

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Performance scores

Aim27
Positioning37
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateWLWLWLWLWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +0.7pp headshot accuracy · −61ms 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 -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 734ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 681ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 711ms

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 (+1.5 against its own average).

Aim2.7
Utility3.0
Positioning3.7
Opening Duels0.0
Clutch2.2

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

ZywOo

Plays most like ZywOo 73% 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. 686ms 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

Aim2.7
Positioning3.7
Utility3.0
Mechanics4.6
Opening Duels0.6
Win Impact2.8

Composite 2.7/10 (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-0.05−0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time679ms−21ms
first ⅓ avg 700ms → last ⅓ avg 679ms
Headshot accuracy9.6%+2.1%
first ⅓ avg 7.5% → last ⅓ avg 9.6%

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

0.11Best match rating · 13–3 · mirage, 19 Aug →
20%Best headshot accuracy · 15–15 · anubis, 18 Aug →
469msFastest reaction time · 13–3 · ancient, 31 Oct →
13–1Biggest win · mirage, 23 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–6In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 69% over 16infernoWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
mirageC207–1335%-0.04
ancientB178–947%-0.04
nukeS1611–569%-0.04
infernoD133–1023%-0.06
dust2D124–833%-0.05
anubisB115–645%-0.06
cacheC83–538%-0.01
vertigo—32–167%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

357Matches
48%Win rate
0.72Avg K/D
62.0ADR
32%Headshot %

Clutches & streaks

31%1v1 clutch win
11%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5847%0.7411.5
Anubis3241%0.6810.9
Ancient2756%0.7212.3
Inferno2741%0.6710.7
Nuke2759%0.7712.1
Dust21331%0.5810.4
Vertigo1250%0.6210.8
Overpass475%0.9110.8

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.

10.0%Headshot accuracy
30.9%Accuracy (enemy spotted)
31.5%Spray accuracy
70.7%Counter-strafing
11.8°Preaim
686msReaction time
29.8%T opening success
34.6%CT opening success
0.38Enemies flashed / flash
1.0%Flash assists
10.33HE damage / grenade
2.28Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.9912% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3761 — below the 0.5 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 29.8273% — below the 40% mark we flag

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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–90.057%3 Nov →
mirage9–13-0.0614%3 Nov →
dust213–9-0.0511%3 Nov →
anubis11–13-0.074%2 Nov →
nuke16–13-0.0116%2 Nov →
nuke5–13-0.069%1 Nov →
ancient13–3-0.0611%31 Oct →
mirage5–13-0.090%31 Oct →
ancient13–50.0411%31 Oct →
mirage2–13-0.0515%29 Oct →
ancient13–9-0.0510%28 Oct →
cache9–4-0.0517%28 Oct →
inferno7–13-0.097%27 Oct →
cache14–16-0.077%18 Oct →
dust21–13-0.1012%18 Oct →
dust213–5-0.089%16 Oct →
ancient6–13-0.045%16 Oct →
ancient9–13-0.047%13 Oct →
inferno8–13-0.075%13 Oct →
mirage13–9-0.0013%13 Oct →
cache5–13-0.016%12 Oct →
dust27–13-0.0115%12 Oct →
anubis13–10-0.0610%11 Oct →
ancient13–7-0.028%11 Oct →
ancient6–13-0.0513%11 Oct →
mirage13–9-0.0617%9 Oct →
ancient13–11-0.0611%9 Oct →
vertigo10–13-0.0811%9 Oct →
dust216–19-0.0616%9 Oct →
mirage12–16-0.064%3 Oct →
vertigo13–11-0.113%3 Oct →
ancient11–13-0.042%3 Oct →
nuke13–50.0213%29 Sept →
mirage11–13-0.073%29 Sept →
vertigo13–9-0.0210%28 Sept →
ancient10–13-0.0110%28 Sept →
dust23–13-0.0613%26 Sept →
ancient13–8-0.045%25 Sept →
dust211–13-0.0316%25 Sept →
dust210–13-0.028%24 Sept →
nuke13–9-0.0413%23 Sept →
mirage13–1-0.0519%23 Sept →
mirage13–20.008%23 Sept →
nuke16–14-0.0510%22 Sept →
nuke13–9-0.015%17 Sept →
anubis4–13-0.118%17 Sept →
ancient13–9-0.075%17 Sept →
cache3–13-0.0111%15 Sept →
mirage9–13-0.0316%15 Sept →
ancient8–13-0.0120%15 Sept →
inferno13–4-0.0211%13 Sept →
anubis13–5-0.0512%13 Sept →
dust213–11-0.087%11 Sept →
nuke13–6-0.019%11 Sept →
ancient7–13-0.052%11 Sept →
inferno13–16-0.015%11 Sept →
dust218–22-0.0317%8 Sept →
nuke13–8-0.0512%8 Sept →
anubis13–10-0.078%7 Sept →
nuke13–11-0.0311%7 Sept →
mirage10–13-0.0614%28 Aug →
inferno9–13-0.085%24 Aug →
ancient8–13-0.087%24 Aug →
nuke2–13-0.0911%23 Aug →
cache5–130.0012%21 Aug →
inferno10–13-0.0411%21 Aug →
anubis10–13-0.0618%21 Aug →
mirage7–13-0.055%21 Aug →
dust215–15-0.0311%20 Aug →
mirage16–14-0.044%20 Aug →
ancient5–13-0.030%20 Aug →
nuke7–13-0.0811%20 Aug →
mirage13–30.1111%19 Aug →
anubis15–15-0.0420%18 Aug →
mirage16–140.048%18 Aug →
inferno7–13-0.036%18 Aug →
mirage5–13-0.100%18 Aug →
cache13–2-0.019%18 Aug →
inferno13–10-0.075%15 Aug →
nuke13–16-0.034%12 Aug →
anubis14–16-0.0811%12 Aug →
mirage7–13-0.077%12 Aug →
nuke10–13-0.103%11 Aug →
inferno13–11-0.092%11 Aug →
cache15–15-0.0210%10 Aug →
anubis9–13-0.066%10 Aug →
mirage6–13-0.0210%10 Aug →
ancient13–10-0.068%9 Aug →
anubis16–14-0.0511%4 Aug →
mirage5–13-0.100%4 Aug →
mirage9–13-0.058%3 Aug →
inferno8–13-0.046%3 Aug →
inferno10–13-0.027%2 Aug →
dust213–7-0.077%2 Aug →
inferno6–13-0.146%31 Jul →
nuke13–4-0.077%31 Jul →
inferno8–13-0.0112%31 Jul →
anubis13–10-0.038%28 Jul →
nuke13–10-0.0513%28 Jul →
nuke13–11-0.0415%27 Jul →

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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