✪Mitta

✪Mitta — CS2 Stats

NL76561198822252362[U:1:861986634]Steam profile ↗✓ No bans

1,305Tracked matches34%Win rate2020Tracked since
2,457Hours in CS1Hrs last 2 wks
CSDB Rating3.8 LearningAll-Rounder
Premier CS Rating9,584Light Blue band · top ~56.9% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (2 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: 9,584 -4,085 10 May – 1 Oct · 20 days played
9,58414,025peak 14,02510 May1 Oct
14,025Peak Premier in tracked matches
53Days played since 2026-05-10

Premier CS Rating

  • 4,441 below peak (14,025)
  • -3,391 over 90 days
  • Next: Blue band at 10,000 — 416 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches2——
Win rate50%——
K/D0.60——
Headshot %50%——

Measured 25 Sep 2026 → 3 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches18——
Win rate33%——
K/D0.74——
Headshot %32%——

Measured 31 Aug 2026 → 3 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

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 rate36.7%41.8%42.7%6.0% short
Shot accuracy13.4%12.2%11.3%above
Kill/death ratio0.760.980.990.23 short
Match win rate32.7%43.3%43.9%11.2% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. 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.GG✪MittaFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER9,584 · Light 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

Aim51
Positioning48
Utility51

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateWLLLLLLWLW

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −7.1pp headshot accuracy · +16ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 720ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 624ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 616ms

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.

Aim5.1
Utility5.1
Positioning4.8
Opening Duels2.5
Clutch5.0

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 80% 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. 627ms 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

Aim5.1
Positioning4.8
Utility5.1
Mechanics4.9
Opening Duels2.3
Win Impact0.0

Composite 3.8/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time611ms−18ms
first ⅓ avg 629ms → last ⅓ avg 611ms
Headshot accuracy12.7%+1.4%
first ⅓ avg 11.3% → last ⅓ avg 12.7%

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 · 9–5 · overpass, 31 May →
47%Best headshot accuracy · 13–3 · dust2, 20 Aug →
414msFastest reaction time · 5–13 · inferno, 24 Jul →
13–2Biggest win · anubis, 17 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 56% over 16infernoWeakest map · 25% over 24
MapGradePlayedRecordWin rateAvg rating
mirageB2411–1346%-0.03
infernoD246–1825%-0.03
nukeA169–756%-0.03
cacheD82–625%-0.02
ancientD82–625%-0.02
dust2D62–433%-0.02
anubis—44–0100%0.03
overpass—33–0100%0.02
vertigo—32–167%-0.09
eldorado—10–10%-0.21
poseidon—10–10%-0.00
alpine—11–0100%-0.00
office—11–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,620Lifetime kills
0.76K/D
2,969Matches
32.7%Match win rate
36.7%Headshot %
13.4%Shot accuracy · Top 50% of Level 3 players
4,131MVPs
1,175Hours (in match)
1,848Bombs planted
480Bombs defused

Most-used weapons

Lifetime map wins

3,264inferno
2,079dust2
1,765nuke
958vertigo
312train
130cbble
72office
65lake

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

Faceit stats

Combat

197Matches
49%Win rate
0.89Avg K/D
71.1ADR
35%Headshot %

Clutches & streaks

45%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5742%0.9113.7
Cache2335%0.9113.8
Dust22157%0.8514.0
Inferno2070%0.9015.3
Nuke2050%0.8413.8
Ancient1250%1.0414.3
Anubis1145%1.0312.6
Overpass875%0.8913.4

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.

13.6%Headshot accuracy
34.6%Accuracy (enemy spotted)
38.5%Spray accuracy
72.3%Counter-strafing
11.2°Preaim
627msReaction time
45.8%T opening success
32.5%CT opening success
0.58Enemies flashed / flash
3.6%Flash assists
9.74HE damage / grenade
9.44Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.5604% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.4659% — 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.

25% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–6-0.0313%1 Oct →
nuke5–13-0.0529%1 Oct →
nuke9–13-0.057%8 Sept →
mirage14–160.023%4 Sept →
inferno8–13-0.0514%3 Sept →
inferno8–13-0.054%2 Sept →
cache12–16-0.0613%31 Aug →
mirage13–6-0.008%31 Aug →
mirage7–13-0.048%29 Aug →
nuke13–70.039%26 Aug →
mirage7–130.0120%26 Aug →
mirage6–13-0.0416%26 Aug →
cache7–13-0.039%22 Aug →
mirage13–8-0.0120%22 Aug →
dust213–30.0447%20 Aug →
mirage13–30.0512%20 Aug →
dust212–12-0.0511%18 Aug →
anubis13–20.0720%17 Aug →
overpass13–4-0.0115%11 Aug →
ancient13–60.039%11 Aug →
mirage4–13-0.130%4 Aug →
mirage2–13-0.110%3 Aug →
inferno3–13-0.0913%3 Aug →
vertigo2–9-0.2314%1 Aug →
nuke6–9-0.0313%1 Aug →
inferno6–90.0111%1 Aug →
eldorado2–9-0.2113%1 Aug →
poseidon7–9-0.0023%1 Aug →
inferno3–90.0318%1 Aug →
nuke9–20.070%1 Aug →
vertigo9–5-0.0912%1 Aug →
inferno10–13-0.032%31 Jul →
ancient9–13-0.0214%31 Jul →
cache11–13-0.0116%31 Jul →
mirage2–13-0.0621%31 Jul →
inferno16–13-0.0113%25 Jul →
mirage0–13-0.0824%25 Jul →
inferno5–13-0.1031%24 Jul →
dust25–13-0.0729%24 Jul →
mirage13–10-0.0720%21 Jul →
mirage5–13-0.029%20 Jul →
anubis13–50.0320%20 Jul →
cache7–13-0.0213%20 Jul →
nuke13–11-0.023%19 Jul →
cache6–13-0.103%16 Jul →
dust213–4-0.037%16 Jul →
inferno5–13-0.0316%16 Jul →
mirage2–13-0.0719%15 Jul →
nuke13–10-0.025%15 Jul →
inferno8–13-0.059%15 Jul →
inferno7–13-0.045%15 Jul →
cache16–13-0.0310%15 Jul →
ancient10–13-0.074%15 Jul →
mirage8–00.049%15 Jul →
nuke15–15-0.0615%14 Jul →
ancient6–13-0.0113%13 Jul →
inferno13–90.0422%13 Jul →
nuke8–13-0.0323%12 Jul →
ancient13–20.0315%12 Jul →
inferno11–130.0111%12 Jul →
mirage4–13-0.0523%11 Jul →
mirage13–6-0.005%11 Jul →
mirage0–13-0.070%10 Jul →
inferno13–90.0315%9 Jul →
mirage6–13-0.0316%9 Jul →
inferno3–13-0.0517%6 Jul →
vertigo13–20.0522%6 Jul →
inferno13–110.0211%5 Jul →
inferno4–13-0.103%4 Jul →
anubis6–2-0.0012%4 Jul →
inferno4–130.079%27 Jun →
alpine4–0-0.000%26 Jun →
office13–10-0.030%26 Jun →
mirage13–20.039%25 Jun →
ancient8–13-0.0218%25 Jun →
ancient5–13-0.0714%22 Jun →
mirage13–7-0.040%21 Jun →
ancient8–13-0.050%18 Jun →
inferno13–16-0.085%15 Jun →
nuke13–11-0.0213%13 Jun →
inferno13–8-0.116%13 Jun →
cache16–130.0710%10 Jun →
dust210–130.016%10 Jun →
cache9–130.0513%8 Jun →
inferno8–8-0.0815%31 May →
overpass9–50.1115%31 May →
inferno28–260.0110%30 May →
mirage13–30.0215%30 May →
nuke11–130.0313%28 May →
anubis16–140.018%27 May →
nuke16–13-0.0315%27 May →
nuke13–7-0.0910%24 May →
nuke13–7-0.0721%21 May →
mirage13–11-0.0515%18 May →
nuke8–13-0.0518%17 May →
inferno5–13-0.0518%17 May →
dust213–16-0.039%17 May →
mirage13–4-0.0226%14 May →
inferno10–130.0516%10 May →
overpass13–8-0.0418%10 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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