LOLDIA

LOLDIA — CS2 Stats

LV76561198840156178[U:1:879890450]Steam profile ↗✓ No bans

1,545Tracked matches31%Win rate2020Tracked since
3,258Hours in CS36Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
Premier CS Rating21,960Top 50% of 211,494 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)
CSDB Leaderboard#56503 of 258399 tracked
FaceitLevel 10 · 1,138 ELOTop 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (5 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: 21,960 -1,294 27 Jul – 24 Oct · 23 days played
21,96025,115peak 25,11527 Jul24 Oct
25,661Peak Premier in tracked matches
1,138Highest Faceit ELO seen on CSDB
35Days played since 2026-07-25

Faceit ELO

  • At peak — 1,138
  • Next: Level 6 at 1,201 — 63 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-12
  • Level 4 first seen 2026-09-12

Premier CS Rating

  • 3,155 below peak (25,115)
  • -2,736 over 30 days · declining
  • -1,294 over 90 days
  • Next: Red band at 25,000 — 3,040 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-12
  • Purple band first seen 2026-09-12

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 rate46.9%50.9%
Shot accuracy9.5%13.7%
Kill/death ratio0.911.09
Match win rate43.0%48.4%

Share this profile

CSDB.GGLOLDIAFACEITLevel 10 · 1,138 ELOSTANDINGTop 12.4% of rankedPREMIER21,960 · Pink bandPEAK ELO1,138csdb.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

Aim73
Positioning64
Utility57

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateWLWLLLLLLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −1.3pp headshot accuracy · −80ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 556ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 538ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 577ms

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 (+1.3 against its own average).

Aim7.3
Utility5.7
Positioning6.4
Opening Duels5.1
Clutch3.4

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

m0NESY

Plays most like m0NESY 88% 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 →

Strengths & areas to improve

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 568ms 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

Aim7.3
Positioning6.4
Utility5.7
Mechanics7.2
Opening Duels7.6
Win Impact0.0

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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time555ms−60ms
first ⅓ avg 615ms → last ⅓ avg 555ms
Headshot accuracy18.5%+2.7%
first ⅓ avg 15.8% → last ⅓ avg 18.5%

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

0.22Best match rating · 13–9 · office, 8 Sept →
100%Best headshot accuracy · 9–0 · inferno, 12 Oct →
375msFastest reaction time · 7–9 · inferno, 17 Aug →
13–0Biggest win · anubis, 17 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 60% over 5infernoWeakest map · 43% over 21
MapGradePlayedRecordWin rateAvg rating
infernoC219–1243%0.02
dust2C188–1044%-0.01
cacheB179–853%0.00
mirageB136–746%-0.01
anubisB115–645%-0.01
ancientB105–550%-0.01
nukeA53–260%0.01
office—21–150%0.16
debris—11–0100%0.13
train—10–10%-0.01
vertigo—10–10%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,782Lifetime kills
0.91K/D
5,299Matches
43.0%Match win rate
46.9%Headshot %
9.5%Shot accuracy
13,322MVPs
1,993Hours (in match)
4,240Bombs planted
1,053Bombs defused

Most-used weapons

AK-4729,483
AWP10,673
SSG 082,322
FAMAS2,219
MP91,908

Lifetime map wins

10,961inferno
6,835dust2
2,461train
2,331nuke
1,337vertigo
332cbble
71lake
56office

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

Faceit stats

Combat

539Matches
54%Win rate
1.00Avg K/D
86.9ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
16Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage13654%0.9615.3
Dust212948%1.0015.5
Ancient7256%1.0616.5
Inferno6159%1.0516.9
Anubis4659%1.0015.4
Cache3863%0.9715.7
Nuke3450%0.9917.1
Overpass1354%1.0415.8

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.

15.5%Headshot accuracy
32.8%Accuracy (enemy spotted)
34.6%Spray accuracy
82.2%Counter-strafing
7.2°Preaim
568msReaction time
63.6%T opening success
57.0%CT opening success
0.55Enemies flashed / flash
8.2%Flash assists
9.62HE damage / grenade
8.61Flashes / match

Recommended for you

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.

43% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–10.1529%24 Oct →
inferno4–130.0323%24 Oct →
anubis13–11-0.0416%24 Oct →
anubis4–13-0.023%24 Oct →
inferno8–13-0.0311%24 Oct →
inferno7–13-0.0114%24 Oct →
cache9–130.0216%24 Oct →
inferno5–13-0.0418%23 Oct →
cache10–13-0.0213%23 Oct →
dust27–13-0.0223%23 Oct →
cache13–90.0030%21 Oct →
cache12–12-0.0322%21 Oct →
anubis7–13-0.0312%19 Oct →
ancient9–130.014%19 Oct →
dust211–13-0.0219%18 Oct →
mirage13–50.0825%17 Oct →
ancient7–130.0219%16 Oct →
ancient10–130.0016%16 Oct →
mirage14–16-0.049%16 Oct →
inferno9–70.0323%16 Oct →
ancient11–13-0.027%16 Oct →
dust28–13-0.0014%13 Oct →
debris9–60.138%12 Oct →
inferno5–90.0029%12 Oct →
inferno9–00.03100%12 Oct →
mirage13–3-0.0712%9 Oct →
anubis10–13-0.0610%9 Oct →
ancient16–14-0.0520%9 Oct →
train3–13-0.0112%9 Oct →
cache14–16-0.0026%6 Oct →
inferno16–130.038%2 Oct →
ancient13–110.007%2 Oct →
dust211–130.0114%30 Sept →
dust213–60.0219%30 Sept →
inferno7–130.0114%30 Sept →
mirage4–13-0.0313%26 Sept →
inferno11–13-0.0210%26 Sept →
mirage6–13-0.0126%25 Sept →
ancient19–160.019%24 Sept →
anubis7–13-0.0213%24 Sept →
cache13–7-0.0723%24 Sept →
dust22–13-0.0717%24 Sept →
vertigo12–120.0924%24 Sept →
inferno8–80.1927%18 Sept →
ancient13–5-0.0018%17 Sept →
anubis13–90.0517%17 Sept →
anubis13–00.1119%17 Sept →
inferno9–50.1242%15 Sept →
dust213–4-0.0628%15 Sept →
dust213–30.0722%15 Sept →
inferno13–100.0518%8 Sept →
office5–130.1011%8 Sept →
office13–90.2222%8 Sept →
cache13–60.0816%1 Sept →
cache13–40.1026%1 Sept →
cache4–130.0713%1 Sept →
inferno3–9-0.1333%1 Sept →
mirage10–13-0.0224%1 Sept →
cache13–30.0120%25 Aug →
nuke13–60.0410%25 Aug →
cache13–2-0.0243%25 Aug →
inferno7–90.0775%17 Aug →
cache5–13-0.0512%17 Aug →
mirage7–13-0.0513%17 Aug →
anubis4–13-0.0319%17 Aug →
dust24–13-0.0430%17 Aug →
dust213–5-0.0113%10 Aug →
dust29–13-0.0010%9 Aug →
ancient11–13-0.0211%9 Aug →
inferno13–9-0.0311%9 Aug →
nuke13–70.0619%9 Aug →
inferno5–13-0.0128%9 Aug →
nuke4–13-0.0615%7 Aug →
dust213–11-0.0128%7 Aug →
dust28–13-0.0314%6 Aug →
inferno0–13-0.0933%5 Aug →
cache11–13-0.0417%5 Aug →
ancient13–8-0.0313%5 Aug →
anubis11–13-0.067%5 Aug →
anubis13–50.039%5 Aug →
cache16–12-0.0210%2 Aug →
anubis13–40.0011%2 Aug →
dust213–0-0.030%2 Aug →
nuke7–130.017%2 Aug →
dust213–0-0.005%2 Aug →
cache9–130.0122%31 Jul →
dust219–170.0413%30 Jul →
cache13–11-0.0720%30 Jul →
dust25–13-0.0615%29 Jul →
inferno13–4-0.0211%29 Jul →
mirage13–110.0217%29 Jul →
cache13–50.0522%29 Jul →
nuke13–80.0114%29 Jul →
mirage13–60.0415%29 Jul →
dust25–13-0.0031%29 Jul →
mirage7–13-0.0031%27 Jul →
inferno13–60.0211%27 Jul →
mirage9–13-0.079%27 Jul →
mirage13–2-0.0020%26 Jul →
mirage13–40.0423%25 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.