mordi

mordi — CS2 Stats

SE76561199215188477[U:1:1254922749]Steam profile ↗✓ No bans

817Tracked matches45%Win rate2021Tracked since
555Hours in CS
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 817 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,000 +2,331 13 Aug – 21 Sept · 20 days played
7,66912,083peak 12,08313 Aug21 Sept
12,341Peak Premier in tracked matches
25Days played since 2026-08-03

Premier CS Rating

  • 2,083 below peak (12,083)
  • -1,021 over 30 days · declining
  • Next: Purple band at 15,000 — 5,000 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-21
  • Light Blue band first seen 2026-09-21

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 3 among CSDB-tracked players (n=10,051), 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 3 medianLevel 4 medianvs Level 4
Headshot rate45.4%41.8%42.7%above
Shot accuracy17.5%12.2%11.3%above
Kill/death ratio0.790.980.990.20 short
Match win rate43.5%43.3%43.9%meets

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmordiFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER10,000 · Blue bandcsdb.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

Aim68
Positioning55
Utility52

0–100 skill scores via Leetify.

Recent form

COLD54–43–3Last 10054%Win rateLLTLWLLLLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −0.9pp headshot accuracy · −16ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 550ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 543ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 551ms

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 against its own average).

Aim6.8
Utility5.2
Positioning5.5
Opening Duels3.4
Clutch0.0

Strong CT-side opener

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

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 53% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 558ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.8
Positioning5.5
Utility5.2
Mechanics2.8
Opening Duels3.1
Win Impact3.3

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time567ms+9ms
first ⅓ avg 559ms → last ⅓ avg 567ms
Headshot accuracy16.2%+0.9%
first ⅓ avg 15.3% → last ⅓ avg 16.2%

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

0.15Best match rating · 13–10 · mirage, 3 Aug →
32%Best headshot accuracy · 13–0 · cache, 16 Aug →
313msFastest reaction time · 7–9 · inferno, 15 Aug →
13–0Biggest win · cache, 16 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 67% over 18infernoWeakest map · 35% over 26
MapGradePlayedRecordWin rateAvg rating
infernoC269–1735%-0.00
nukeS1812–667%-0.01
mirageA1811–761%0.02
dust2A1610–663%0.02
anubisC83–538%0.01
ancientA85–363%0.01
cache—43–175%0.07
debris—21–150%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 26). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,065Lifetime kills
0.79K/D
1,874Matches
43.5%Match win rate · Top 50% of Level 3 players
45.4%Headshot % · Top 50% of Level 3 players
17.5%Shot accuracy · Top 25% of Level 3 players
3,550MVPs
555Hours (in match)
1,688Bombs planted
374Bombs defused

Most-used weapons

Lifetime map wins

4,574inferno
1,206dust2
1,045nuke
302vertigo
280train
221cbble
77lake
26office

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

Faceit stats

Combat

7Matches
43%Win rate
0.52Avg K/D
64.2ADR
31%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Train10%0.5610.0
Nuke10%0.6210.0

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.

16.5%Headshot accuracy
39.5%Accuracy (enemy spotted)
41.2%Spray accuracy
62.6%Counter-strafing
9.6°Preaim
558msReaction time
32.1%T opening success
52.6%CT opening success
0.69Enemies flashed / flash
3.6%Flash assists
8.99HE damage / grenade
6.00Flashes / 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. 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 32.0596% — 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.

35% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno2–7-0.0610%17 Sept →
nuke11–13-0.0316%6 Sept →
mirage15–150.0918%6 Sept →
mirage1–13-0.0913%6 Sept →
dust213–5-0.0226%6 Sept →
dust24–13-0.0225%5 Sept →
mirage7–130.1317%5 Sept →
dust214–160.0417%5 Sept →
inferno5–13-0.0616%5 Sept →
dust213–90.0719%4 Sept →
dust27–13-0.0223%4 Sept →
nuke13–30.0425%4 Sept →
mirage13–70.0324%4 Sept →
dust29–130.0219%4 Sept →
mirage13–50.1226%4 Sept →
inferno3–13-0.078%2 Sept →
inferno6–13-0.0320%2 Sept →
anubis13–70.1515%2 Sept →
dust29–130.0513%1 Sept →
anubis3–13-0.0712%31 Aug →
ancient13–20.0910%31 Aug →
nuke13–40.0213%31 Aug →
ancient2–13-0.075%30 Aug →
nuke13–5-0.0012%30 Aug →
nuke9–13-0.0412%30 Aug →
mirage13–10.075%30 Aug →
inferno9–130.0430%30 Aug →
ancient13–11-0.026%30 Aug →
mirage13–60.049%30 Aug →
nuke13–110.0523%30 Aug →
inferno5–130.0214%30 Aug →
mirage12–16-0.0119%29 Aug →
ancient9–130.0317%29 Aug →
dust213–110.0420%29 Aug →
anubis8–130.0012%29 Aug →
dust213–6-0.0128%28 Aug →
inferno6–13-0.0615%28 Aug →
dust213–100.0211%28 Aug →
inferno9–6-0.0113%28 Aug →
nuke8–80.0319%28 Aug →
inferno9–30.0824%28 Aug →
ancient13–40.0310%28 Aug →
nuke13–6-0.0111%28 Aug →
nuke13–2-0.028%28 Aug →
inferno13–50.0213%28 Aug →
inferno7–130.0612%28 Aug →
dust213–80.1217%27 Aug →
nuke14–160.0118%26 Aug →
cache9–130.0415%26 Aug →
anubis16–130.0414%26 Aug →
cache13–2-0.0026%25 Aug →
ancient13–50.0225%25 Aug →
inferno14–160.0416%25 Aug →
nuke11–130.0214%25 Aug →
mirage9–13-0.0313%25 Aug →
nuke13–9-0.108%25 Aug →
inferno7–130.0428%24 Aug →
mirage5–13-0.0218%24 Aug →
nuke13–70.0817%24 Aug →
mirage13–80.0317%24 Aug →
mirage13–30.0412%24 Aug →
nuke9–2-0.0113%24 Aug →
anubis8–13-0.018%18 Aug →
cache13–90.1313%18 Aug →
inferno5–90.0223%18 Aug →
anubis8–130.0220%17 Aug →
anubis1–13-0.048%17 Aug →
nuke15–15-0.0221%17 Aug →
nuke9–5-0.1225%17 Aug →
inferno13–70.0617%17 Aug →
dust213–110.0416%16 Aug →
dust213–40.1118%16 Aug →
inferno13–50.0720%16 Aug →
cache13–00.1132%16 Aug →
dust22–13-0.0423%16 Aug →
anubis13–8-0.0422%16 Aug →
inferno11–13-0.0122%15 Aug →
nuke13–2-0.057%15 Aug →
ancient13–20.0817%15 Aug →
mirage13–0-0.0314%15 Aug →
mirage0–13-0.0610%15 Aug →
inferno7–9-0.1617%15 Aug →
inferno13–6-0.037%13 Aug →
mirage13–10-0.057%13 Aug →
inferno13–11-0.0218%12 Aug →
dust213–8-0.060%12 Aug →
inferno9–60.0311%12 Aug →
ancient9–13-0.0413%11 Aug →
debris9–40.1411%11 Aug →
inferno6–9-0.0118%8 Aug →
inferno7–90.026%8 Aug →
dust216–130.0027%6 Aug →
nuke16–130.0419%6 Aug →
inferno11–130.018%6 Aug →
mirage16–130.019%4 Aug →
mirage13–10-0.0010%4 Aug →
mirage13–100.1514%3 Aug →
debris5–9-0.0617%3 Aug →
inferno4–9-0.0319%3 Aug →
inferno9–5-0.0011%3 Aug →

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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