Plomma,-

Plomma,- — CS2 Stats

NO76561199151806003[U:1:1191540275]Steam profile ↗✓ No bans

2,533Tracked matches47%Win rate2021Tracked since
1,696Hours in CS
CSDB Rating6.3 SolidAll-Rounder
FaceitLevel 10 · 2,547 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (36 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,533 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Faceit ELO: 2,547 +0 1 Sept – 22 Sept · 3 observations
2,5472,547peak 2,5471 Sept22 Sept
26,586Peak Premier in tracked matches
2,547Highest Faceit ELO seen on CSDB
57Days played since 2026-02-02

Faceit ELO

  • At peak — 2,547
  • Next: 3,000 ELO at 3,000 — 453 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-01
  • Level 10 first seen 2026-09-01

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate63.8%50.9%
Shot accuracy0.2%13.7%
Kill/death ratio1.041.09
Match win rate54.7%48.4%

Share this profile

CSDB.GGPlomma,-FACEITLevel 10 · 2,547 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,547csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim79
Positioning60
Utility60

0–100 skill scores via Leetify.

Recent form

COLD51–48–1Last 10051%Win rateLLLLWLLLLL

Last 10 vs previous 10: −50pp win rate · +0.03 avg rating · +3.3pp headshot accuracy · +37ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 538ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 524ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 505ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.9
Utility6.0
Positioning6.0
Opening Duels5.5
Clutch3.6

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

device

Plays most like device 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.9
Positioning6.0
Utility6.0
Mechanics5.8
Opening Duels4.5
Win Impact3.9

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time520ms+8ms
first ⅓ avg 513ms → last ⅓ avg 520ms
Headshot accuracy20.0%+0.4%
first ⅓ avg 19.6% → last ⅓ avg 20.0%

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

0.18Best match rating · 9–1 · sanctum, 19 Feb →
42%Best headshot accuracy · 9–5 · inferno, 17 Feb →
266msFastest reaction time · 9–5 · inferno, 17 Feb →
13–0Biggest win · cache, 18 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
6–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 100% over 5mirageWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B2210–1245%-0.00
ancientB2010–1050%-0.01
anubisB1910–953%-0.00
infernoA148–657%-0.00
mirageD103–730%0.00
cacheS55–0100%-0.01
nuke—31–233%-0.04
overpass—21–150%-0.15
poseidon—22–0100%0.06
debris—10–10%0.02
train—10–10%-0.01
sanctum—11–0100%0.18

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,713Lifetime kills
1.04K/D
3,024Matches
54.7%Match win rate · Top 10% of Level 10 players
63.8%Headshot % · Top 10% of Level 10 players
0.2%Shot accuracy
8,705MVPs
1,696Hours (in match)
3,910Bombs planted
927Bombs defused

Most-used weapons

AK-4762,795
AWP3,757
Knife1,495
FAMAS1,104
HE Grenade708

Lifetime map wins

6,139dust2
3,409inferno
1,579nuke
1,184vertigo
588train
164office
60italy
5ar_shoots

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

Faceit stats

Combat

2,292Matches
52%Win rate
1.07Avg K/D
78.6ADR
52%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
27Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage52149%0.9815.1
Ancient46751%1.0615.7
Anubis43157%1.1716.3
Dust241152%1.0414.9
Inferno16753%1.1816.2
Nuke9649%1.0214.8
Overpass9351%1.0716.5
Vertigo4971%1.2217.6

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.

19.9%Headshot accuracy
35.0%Accuracy (enemy spotted)
37.9%Spray accuracy
75.9%Counter-strafing
8.4°Preaim
525msReaction time
42.1%T opening success
53.6%CT opening success
0.54Enemies flashed / flash
5.7%Flash assists
8.73HE damage / grenade
14.40Flashes / match

Recommended for you

Spend your practice time on Mirage

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage14–160.0021%14 Sept →
ancient8–13-0.0720%14 Sept →
anubis17–19-0.0425%1 Sept →
dust210–130.0324%1 Sept →
overpass9–3-0.0138%1 Sept →
debris7–90.0218%1 Sept →
train10–13-0.0129%28 Aug →
dust25–13-0.1019%28 Aug →
nuke5–130.0316%27 Aug →
mirage10–130.0320%27 Aug →
anubis8–13-0.0127%27 Aug →
overpass0–9-0.300%27 Aug →
dust213–110.0218%24 Aug →
dust214–160.0226%24 Aug →
mirage13–11-0.0530%24 Aug →
ancient8–130.0021%20 Aug →
ancient13–110.0116%18 Aug →
anubis13–50.0113%18 Aug →
cache13–0-0.0840%18 Aug →
cache13–80.0111%13 Aug →
mirage13–160.119%13 Aug →
dust213–11-0.005%11 Aug →
anubis7–130.0216%11 Aug →
ancient16–140.0220%11 Aug →
mirage6–130.0017%9 Aug →
anubis13–90.0316%9 Aug →
ancient10–13-0.0413%6 Aug →
cache13–110.0216%6 Aug →
ancient16–130.0116%6 Aug →
cache13–70.0121%4 Aug →
ancient13–5-0.0128%4 Aug →
ancient13–80.0221%3 Aug →
dust210–13-0.0231%1 Aug →
cache13–3-0.029%1 Aug →
inferno9–13-0.0416%30 Jul →
ancient3–13-0.0611%30 Jul →
mirage13–1-0.0118%28 Jul →
inferno3–13-0.0925%28 Jul →
ancient6–13-0.0114%28 Jul →
anubis2–13-0.0810%28 Jul →
ancient1–13-0.1019%23 Jul →
anubis13–7-0.0318%23 Jul →
ancient13–9-0.0317%21 Jul →
dust28–10.0414%17 Jul →
anubis13–80.0632%17 Jul →
dust27–130.0320%12 Jun →
dust212–120.0823%29 May →
inferno9–40.0420%21 May →
inferno13–9-0.0510%19 May →
inferno12–16-0.0116%14 May →
dust210–13-0.0614%12 May →
inferno14–16-0.0912%8 May →
dust216–130.0716%7 May →
anubis13–70.0430%30 Apr →
dust213–6-0.0240%28 Apr →
dust23–13-0.0820%25 Apr →
dust213–5-0.0122%23 Apr →
anubis11–13-0.0429%21 Apr →
inferno13–100.0213%16 Apr →
dust26–13-0.0213%16 Apr →
dust213–6-0.0114%16 Apr →
anubis7–130.0522%14 Apr →
inferno7–130.0117%14 Apr →
dust211–13-0.0214%9 Apr →
inferno9–13-0.0116%8 Apr →
ancient9–130.0211%6 Apr →
dust213–60.0322%6 Apr →
mirage13–40.0616%6 Apr →
dust213–100.0325%3 Apr →
anubis13–80.0413%30 Mar →
anubis10–13-0.0115%19 Mar →
dust24–13-0.0616%19 Mar →
mirage10–13-0.0322%19 Mar →
anubis11–13-0.0425%18 Mar →
mirage5–13-0.0311%17 Mar →
nuke0–2-0.110%14 Mar →
ancient13–70.1325%14 Mar →
inferno16–13-0.0013%14 Mar →
dust23–13-0.0718%10 Mar →
ancient13–60.0633%7 Mar →
inferno16–120.0628%4 Mar →
inferno13–3-0.0035%28 Feb →
anubis13–4-0.029%28 Feb →
anubis8–13-0.0221%27 Feb →
ancient13–9-0.0613%27 Feb →
anubis13–70.0314%27 Feb →
ancient11–130.0719%26 Feb →
inferno13–60.0821%24 Feb →
ancient7–130.0121%24 Feb →
anubis16–130.0124%23 Feb →
mirage13–16-0.0512%23 Feb →
sanctum9–10.1819%19 Feb →
poseidon9–40.1233%17 Feb →
inferno9–50.0542%17 Feb →
dust213–20.0614%14 Feb →
ancient6–13-0.0942%8 Feb →
nuke13–9-0.036%8 Feb →
ancient13–5-0.0213%8 Feb →
anubis13–5-0.008%3 Feb →
poseidon9–60.0120%2 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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