Myyratti

Myyratti — CS2 Stats

FI76561198137498701[U:1:177232973]Steam profile ↗✓ No bans

2,397Tracked matches57%Win rate2020Tracked since
2,465Hours in CS
CSDB Rating6.3 SolidPositional Player
FaceitLevel 9 · 2,042 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,042 → 2,042
+154Tracked matches · now 2,397
+13.8ppWin rate · 42.9% → 56.7%

Rating over time

Faceit ELO: 2,042 +0 1 Sept – 20 Sept · 5 observations
2,0422,042peak 2,0421 Sept20 Sept
2,042Highest Faceit ELO seen on CSDB
60Days played since 2026-03-24

Faceit ELO

  • At peak — 2,042
  • Next: 2,500 ELO at 2,500 — 458 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate41.4%48.2%50.9%9.6% short
Shot accuracy11.4%13.2%13.7%2.3% short
Kill/death ratio0.901.071.090.19 short
Match win rate45.2%46.9%48.4%3.2% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMyyrattiFACEITLevel 9 · 2,042 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,042csdb.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

Aim78
Positioning61
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateWLWLLWWLLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +3.0pp headshot accuracy · +12ms 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 -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 495ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 501ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 495ms

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 (+1.6 against its own average).

Aim7.8
Utility4.8
Positioning6.1
Opening Duels3.2
Clutch3.8

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

jL

Plays most like jL 96% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

CSDB Rating breakdown

Aim7.8
Positioning6.1
Utility4.8
Mechanics5.7
Opening Duels4.4
Win Impact7.2

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time511ms−83ms
first ⅓ avg 593ms → last ⅓ avg 511ms
Headshot accuracy17.6%−3.3%
first ⅓ avg 20.9% → last ⅓ avg 17.6%

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 · 13–4 · ancient, 17 Sept →
42%Best headshot accuracy · 4–13 · mirage, 23 May →
406msFastest reaction time · 13–9 · inferno, 1 Oct →
13–2Biggest win · nuke, 8 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

vertigoBest map · 71% over 7mirageWeakest map · 43% over 42
MapGradePlayedRecordWin rateAvg rating
mirageC4218–2443%-0.02
dust2B157–847%-0.00
nukeA127–558%0.00
ancientC73–443%0.00
cacheA74–357%-0.01
vertigoS75–271%-0.03
anubisA53–260%-0.01
inferno—31–233%0.01
overpass—10–10%-0.10
train—11–0100%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 42). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

103,126Lifetime kills
0.90K/D
5,477Matches
45.2%Match win rate
41.4%Headshot %
11.4%Shot accuracy
12,073MVPs
2,465Hours (in match)
4,719Bombs planted
1,580Bombs defused

Most-used weapons

AK-4727,089
AWP18,691
SSG 082,860
Knife2,711
P901,919

Lifetime map wins

11,761dust2
5,718nuke
4,262inferno
1,958vertigo
1,300train
303cbble
76lake
41office

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

Faceit stats

Combat

1,763Matches
51%Win rate
0.94Avg K/D
73.7ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage63249%0.9014.2
Nuke26450%0.9614.4
Ancient19553%0.9314.4
Dust218550%0.9315.0
Anubis13450%0.9114.6
Train6853%0.9513.9
Inferno5645%0.8914.1
Vertigo5169%1.0214.8

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.

17.1%Headshot accuracy
35.2%Accuracy (enemy spotted)
38.6%Spray accuracy
75.7%Counter-strafing
8.6°Preaim
501msReaction time
48.7%T opening success
46.3%CT opening success
0.58Enemies flashed / flash
6.1%Flash assists
9.30HE damage / grenade
5.62Flashes / 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.

43% win rate across 42 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–9-0.0123%21 Oct →
mirage11–13-0.057%20 Oct →
mirage13–30.0228%15 Oct →
mirage10–130.0222%13 Oct →
mirage9–13-0.0313%12 Oct →
nuke13–20.0327%8 Oct →
mirage16–14-0.067%7 Oct →
mirage5–13-0.0419%6 Oct →
dust29–13-0.0216%6 Oct →
nuke13–60.0431%3 Oct →
nuke13–9-0.0216%2 Oct →
inferno13–90.1121%1 Oct →
dust213–9-0.037%28 Sept →
ancient4–13-0.0914%28 Sept →
cache13–10-0.0422%25 Sept →
dust213–4-0.0219%25 Sept →
ancient6–13-0.0813%24 Sept →
dust213–110.0318%23 Sept →
mirage6–13-0.0812%23 Sept →
ancient11–130.1121%23 Sept →
dust26–13-0.1128%22 Sept →
dust211–130.0319%22 Sept →
mirage13–50.0114%21 Sept →
ancient13–40.1113%17 Sept →
mirage7–13-0.0518%14 Sept →
ancient4–13-0.077%11 Sept →
vertigo13–6-0.049%11 Sept →
vertigo13–90.1133%8 Sept →
mirage13–8-0.018%5 Sept →
mirage13–100.0215%3 Sept →
mirage13–10-0.0118%3 Sept →
mirage13–80.0530%3 Sept →
mirage8–13-0.0214%2 Sept →
mirage12–16-0.0631%2 Sept →
mirage13–8-0.0220%1 Sept →
ancient13–30.0716%18 Aug →
ancient13–9-0.0413%18 Aug →
mirage5–13-0.0313%18 Aug →
mirage6–13-0.0118%18 Aug →
mirage13–70.0917%17 Aug →
anubis8–13-0.0536%17 Aug →
nuke13–40.0419%15 Aug →
vertigo8–13-0.0310%13 Aug →
mirage9–13-0.0310%27 Jul →
mirage9–13-0.0917%21 Jul →
mirage6–13-0.0913%17 Jul →
nuke6–13-0.0021%17 Jul →
mirage13–50.0219%17 Jul →
cache3–13-0.0715%17 Jul →
dust215–15-0.0410%15 Jul →
mirage5–13-0.0224%15 Jul →
nuke15–15-0.014%14 Jul →
dust24–130.0320%14 Jul →
dust211–13-0.035%10 Jul →
cache13–90.059%9 Jul →
mirage13–40.118%9 Jul →
mirage14–16-0.0123%9 Jul →
nuke13–7-0.0122%9 Jul →
cache8–130.0722%8 Jul →
nuke12–160.0119%8 Jul →
cache13–80.0129%27 Jun →
anubis10–13-0.038%26 Jun →
mirage13–3-0.0122%26 Jun →
cache13–10-0.0210%26 Jun →
mirage13–9-0.0211%26 Jun →
overpass4–13-0.1025%11 Jun →
mirage10–130.0215%10 Jun →
mirage18–22-0.0314%30 May →
anubis13–4-0.0129%26 May →
mirage9–13-0.0316%23 May →
mirage4–13-0.0642%23 May →
mirage13–40.0822%14 May →
anubis13–70.0415%14 May →
mirage13–80.0120%13 May →
mirage13–100.0217%13 May →
mirage12–120.0114%11 May →
nuke7–130.0126%11 May →
mirage11–13-0.0413%2 May →
cache5–13-0.0636%1 May →
mirage9–13-0.0412%22 Apr →
inferno9–13-0.0727%16 Apr →
nuke7–13-0.0224%15 Apr →
dust211–13-0.0720%6 Apr →
mirage8–13-0.0031%5 Apr →
vertigo13–7-0.0523%5 Apr →
mirage8–13-0.053%4 Apr →
nuke13–7-0.0218%4 Apr →
dust213–80.0723%30 Mar →
vertigo4–13-0.0523%30 Mar →
nuke13–11-0.0119%29 Mar →
dust213–160.0330%26 Mar →
vertigo13–8-0.105%25 Mar →
dust213–9-0.0114%25 Mar →
mirage13–3-0.0914%25 Mar →
mirage13–4-0.0230%25 Mar →
inferno11–13-0.0128%25 Mar →
dust213–70.0627%25 Mar →
train13–20.0521%24 Mar →
vertigo13–8-0.0418%24 Mar →
anubis13–110.0319%24 Mar →

Match data via Leetify.

Recent teammates

Milestones

2K 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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