Mortti

Mortti — CS2 Stats

SC76561198019555002[U:1:59289274]Steam profile ↗✓ No bans

961Tracked matches27%Win rate2022Tracked since
986Hours in CS
CSDB Rating2.9 LearningSupport
FaceitLevel 3 · 911 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 49 days played since 19 Dec 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 6,407 -4,943 19 Dec28 Jun · 27 days played
6,40711,518peak 11,51819 Dec28 Jun
11,748Peak Premier in tracked matches
911Highest Faceit ELO seen on CSDB
49Days played since 2025-12-19

Faceit ELO

  • At peak — 911
  • Next: Level 5 at 1,051 140 to go
  • Reached: Level 4 · Level 3 · Level 2

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=9,169), 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 rate38.8%41.9%42.7%3.9% short
Shot accuracy12.6%12.2%11.3%above
Kill/death ratio0.680.980.990.32 short
Match win rate39.8%43.3%43.9%4.2% short

This profile matches the typical Level 4 player on 1 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.GGMorttiFACEITLevel 3 · 911 ELOSTANDINGTop 90.6% of rankedPEAK ELO911csdb.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

Aim32
Positioning38
Utility57

0–100 skill scores via Leetify.

Recent form

COLD31654Last 10031%Win rateLLWLWLLLLW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −5.7pp headshot accuracy · −68ms 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

  • 23 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 766ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 692ms

Last 20

  • 515 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 726ms

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: SupportUtility contribution stands above the rest of this profile (+2.4 against its own average).

Aim3.2
Utility5.7
Positioning3.8
Opening Duels0.5
Clutch3.2

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

Twistzz

Plays most like Twistzz 61% 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

Reaction time. 736ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.2
Positioning3.8
Utility5.7
Mechanics4.1
Opening Duels0.4
Win Impact0.0

Composite 2.9/10 (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-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time723ms−35ms
first ⅓ avg 759ms → last ⅓ avg 723ms
Headshot accuracy16.2%+2.2%
first ⅓ avg 14.0% → 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

0.13Best match rating · 13–6 · overpass, 8 Apr
44%Best headshot accuracy · 4–13 · nuke, 1 Apr
359msFastest reaction time · 0–3 · cache, 7 May
13–3Biggest win · overpass, 23 Mar

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
16In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 47% over 15dust2Weakest map · 18% over 17
MapGradePlayedRecordWin rateAvg rating
nukeC1981142%-0.02
ancientC1761135%-0.04
dust2D1731418%-0.02
mirageB157847%-0.03
infernoD1531220%-0.04
cacheD51420%-0.07
anubisD51420%-0.07
overpass42250%0.01
office2020%-0.07
vertigo1010%-0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,027Lifetime kills
0.68K/D
2,264Matches
39.8%Match win rate
38.8%Headshot %
12.6%Shot accuracy · Top 50% of Level 3 players
3,080MVPs
986Hours (in match)
2,510Bombs planted
370Bombs defused

Most-used weapons

AK-477,824
P902,454
MP71,136
MP91,069

Lifetime map wins

4,045dust2
2,930inferno
2,277nuke
660train
557vertigo
421cbble
255office
223dust

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

Faceit stats

Combat

258Matches
41%Win rate
0.70Avg K/D
61.2ADR
40%Headshot %

Clutches & streaks

36%1v1 clutch win
10%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient4637%0.7511.2
Nuke4553%0.7210.6
Inferno3741%0.7811.0
Anubis3037%0.7110.2
Mirage2941%0.6311.1
Dust22025%0.6210.8
Overpass1421%0.6910.5
Vertigo475%1.1014.0

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
32.4%Accuracy (enemy spotted)
33.6%Spray accuracy
68.7%Counter-strafing
11.9°Preaim
736msReaction time
32.9%T opening success
25.2%CT opening success
0.65Enemies flashed / flash
10.8%Flash assists
8.55HE damage / grenade
5.15Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 735.8956ms — above the 700ms mark we flag

    Aim Training
  2. 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 32.8649% — 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.

18% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0718%24 Jul
ancient5–13-0.0611%24 Jul
nuke13–6-0.0112%24 Jul
ancient7–13-0.0417%28 Jun
mirage13–100.0210%28 Jun
mirage9–13-0.0116%25 May
dust24–13-0.1211%7 May
cache2–13-0.0815%7 May
cache0–3-0.070%7 May
nuke16–130.0215%6 May
dust214–160.0221%6 May
dust211–130.0721%3 May
nuke9–13-0.047%29 Apr
cache4–13-0.0530%29 Apr
cache13–9-0.0716%29 Apr
dust27–130.0420%26 Apr
ancient13–70.0016%19 Apr
office6–13-0.039%18 Apr
dust22–13-0.0118%18 Apr
vertigo5–9-0.1123%18 Apr
mirage8–13-0.0816%10 Apr
overpass13–60.1318%8 Apr
nuke7–13-0.0810%8 Apr
ancient7–13-0.0017%7 Apr
dust28–13-0.028%7 Apr
nuke13–100.0012%7 Apr
anubis4–13-0.1029%5 Apr
nuke3–13-0.0314%5 Apr
ancient8–13-0.1011%5 Apr
nuke4–13-0.0544%1 Apr
dust213–90.0222%1 Apr
ancient13–4-0.0514%31 Mar
nuke16–130.1012%29 Mar
mirage13–9-0.0115%29 Mar
nuke6–130.0411%29 Mar
dust213–60.0826%29 Mar
mirage12–16-0.0813%24 Mar
ancient9–13-0.0210%24 Mar
dust21–13-0.1015%24 Mar
inferno10–13-0.0511%23 Mar
overpass13–30.0511%23 Mar
nuke2–130.0111%23 Mar
anubis8–13-0.0913%23 Mar
ancient15–150.0011%14 Mar
mirage15–15-0.0312%14 Mar
nuke7–13-0.0926%12 Mar
inferno8–13-0.0119%6 Mar
nuke2–13-0.0914%5 Mar
dust213–50.0419%5 Mar
inferno5–13-0.098%5 Mar
inferno8–13-0.0213%2 Mar
inferno13–10-0.0715%1 Mar
mirage13–40.0110%1 Mar
office9–13-0.1215%1 Mar
dust211–13-0.097%1 Mar
inferno13–16-0.0816%26 Feb
mirage8–130.0112%26 Feb
mirage13–6-0.1016%26 Feb
ancient4–13-0.0810%25 Feb
ancient10–13-0.077%25 Feb
mirage5–13-0.0713%24 Feb
nuke13–80.0220%23 Feb
inferno8–13-0.0316%23 Feb
mirage16–14-0.0319%23 Feb
dust211–13-0.0418%22 Feb
ancient7–13-0.0014%22 Feb
nuke8–13-0.0615%22 Feb
overpass9–13-0.0511%22 Feb
inferno3–13-0.0611%21 Feb
anubis13–8-0.056%18 Feb
ancient9–13-0.0913%18 Feb
anubis16–19-0.0316%11 Feb
dust29–13-0.0519%11 Feb
nuke13–9-0.0422%2 Feb
mirage13–6-0.0316%1 Feb
ancient9–13-0.0211%31 Jan
dust23–13-0.067%30 Jan
ancient13–50.0013%30 Jan
nuke15–15-0.048%29 Jan
dust223–25-0.0514%28 Jan
mirage13–70.0119%27 Jan
dust26–13-0.0411%27 Jan
dust28–13-0.085%27 Jan
mirage4–13-0.077%24 Jan
inferno13–3-0.0326%24 Jan
anubis6–13-0.0811%23 Jan
mirage11–13-0.0217%15 Jan
inferno13–8-0.0726%15 Jan
inferno9–13-0.0214%9 Jan
nuke13–10-0.0218%7 Jan
inferno7–13-0.0616%7 Jan
ancient13–9-0.029%30 Dec
inferno5–13-0.0914%30 Dec
nuke13–6-0.0111%30 Dec
inferno7–130.0415%29 Dec
overpass6–13-0.1118%22 Dec
ancient13–5-0.0110%22 Dec
inferno15–15-0.0117%22 Dec
nuke7–13-0.0119%22 Dec
ancient13–9-0.058%19 Dec

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 →