✠ Skitalis

✠ Skitalis — CS2 Stats

MZ76561198065210136[U:1:104944408]Steam profile ↗✓ No bans

1,897Tracked matches50%Win rate2023Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating16,482Purple band · top ~22.5% of ranked players (population est.)
FaceitLevel 7 · 1,116 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,897 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,482 +2,955 14 Jul – 15 Sept · 20 days played
12,27117,573peak 17,57314 Jul15 Sept
17,688Peak Premier in tracked matches
1,116Highest Faceit ELO seen on CSDB
25Days played since 2026-07-10

Faceit ELO

  • At peak — 1,116
  • Next: Level 6 at 1,201 — 85 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-15
  • Level 4 first seen 2026-09-15

Premier CS Rating

  • 1,091 below peak (17,573)
  • 0 over 30 days · steady
  • Next: Pink band at 20,000 — 3,518 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-15
  • Blue band first seen 2026-09-15

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.

Share this profile

CSDB.GG✠ SkitalisFACEITLevel 7 · 1,116 ELOSTANDINGTop 42.3% of rankedPREMIER16,482 · Purple bandPEAK ELO1,116csdb.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

Aim62
Positioning54
Utility50

0–100 skill scores via Leetify.

Recent form

COLD52–42–6Last 10052%Win rateLWWTLLWLLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +3.2pp headshot accuracy · −56ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 620ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 610ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 638ms

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 (+1.2 against its own average).

Aim6.2
Utility5.0
Positioning5.4
Opening Duels2.8
Clutch3.6

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 87% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 617ms 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

Aim6.2
Positioning5.4
Utility5.0
Mechanics5.1
Opening Duels2.5
Win Impact5.0

Composite 5.2/10 (Developing), 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 rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time621ms+12ms
first ⅓ avg 609ms → last ⅓ avg 621ms
Headshot accuracy14.4%+0.4%
first ⅓ avg 14.0% → last ⅓ avg 14.4%

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

0.18Best match rating · 13–2 · ancient, 29 Jul →
35%Best headshot accuracy · 13–3 · nuke, 29 Jul →
406msFastest reaction time · 4–13 · cache, 5 Aug →
13–0Biggest win · inferno, 5 Aug →

Across the last 100 tracked matches.

Highlights

10Longest win streak
3–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 73% over 15cacheWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
mirageC167–944%0.01
anubisA169–756%0.02
nukeS1510–567%0.02
dust2S1511–473%0.03
cacheD133–1023%-0.00
ancientB137–654%0.01
infernoC125–742%-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

989Matches
49%Win rate
1.09Avg K/D
74.5ADR
37%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage17953%1.0713.8
Inferno13157%1.0914.2
Anubis12951%1.1014.8
Ancient12346%1.0715.4
Nuke9050%1.1214.9
Dust28449%1.1116.2
Vertigo8248%1.1414.7
Overpass3546%1.1614.5

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.

14.7%Headshot accuracy
36.0%Accuracy (enemy spotted)
42.8%Spray accuracy
72.8%Counter-strafing
10.5°Preaim
617msReaction time
36.9%T opening success
43.3%CT opening success
0.48Enemies flashed / flash
2.8%Flash assists
6.27HE damage / grenade
11.71Flashes / 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 14.7033% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4802 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 36.8679% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache10–130.0113%14 Aug →
mirage13–6-0.0215%14 Aug →
inferno16–14-0.0416%14 Aug →
inferno15–15-0.0211%14 Aug →
inferno9–130.0613%13 Aug →
anubis8–130.0317%13 Aug →
ancient13–7-0.0422%13 Aug →
anubis4–13-0.0427%13 Aug →
ancient14–16-0.0017%12 Aug →
cache6–13-0.0710%12 Aug →
ancient7–13-0.025%12 Aug →
ancient13–50.0616%9 Aug →
cache9–130.0518%9 Aug →
cache2–9-0.0319%9 Aug →
mirage7–13-0.028%9 Aug →
nuke13–100.0316%9 Aug →
anubis13–4-0.004%9 Aug →
mirage6–13-0.0415%9 Aug →
mirage6–13-0.0111%8 Aug →
dust213–50.0216%8 Aug →
anubis13–20.068%8 Aug →
dust213–70.0518%8 Aug →
dust213–90.0320%8 Aug →
inferno5–130.0016%8 Aug →
dust25–13-0.0314%7 Aug →
nuke13–50.0316%7 Aug →
nuke13–11-0.0411%7 Aug →
anubis13–30.1020%7 Aug →
nuke13–70.0518%7 Aug →
dust212–120.0116%7 Aug →
ancient9–13-0.0112%6 Aug →
mirage15–15-0.047%6 Aug →
ancient7–130.0714%6 Aug →
dust213–80.0410%5 Aug →
inferno13–00.0620%5 Aug →
anubis13–50.0614%5 Aug →
dust213–40.0916%5 Aug →
cache4–13-0.0519%5 Aug →
ancient6–13-0.0212%4 Aug →
ancient1–10-0.076%4 Aug →
anubis13–4-0.0116%4 Aug →
mirage13–40.0714%4 Aug →
ancient13–90.0121%4 Aug →
cache7–130.0312%4 Aug →
ancient13–50.018%4 Aug →
inferno13–9-0.0625%4 Aug →
dust213–80.0719%2 Aug →
nuke13–50.0611%2 Aug →
anubis9–13-0.029%2 Aug →
mirage12–12-0.0313%2 Aug →
mirage8–13-0.0213%1 Aug →
cache3–13-0.0118%1 Aug →
nuke11–13-0.028%1 Aug →
nuke13–80.0413%1 Aug →
inferno13–9-0.049%31 Jul →
mirage13–20.0015%31 Jul →
dust213–30.1616%31 Jul →
nuke13–50.1614%31 Jul →
inferno6–130.0213%30 Jul →
cache13–9-0.0412%30 Jul →
nuke13–9-0.0218%30 Jul →
cache13–70.1121%30 Jul →
ancient13–10-0.005%30 Jul →
mirage13–110.1321%29 Jul →
nuke13–30.0135%29 Jul →
anubis13–30.0110%29 Jul →
ancient13–20.1825%29 Jul →
mirage13–70.1312%29 Jul →
dust27–10.0710%29 Jul →
anubis5–130.0113%29 Jul →
mirage6–13-0.049%28 Jul →
dust212–120.0122%28 Jul →
inferno13–70.0112%27 Jul →
nuke16–120.0518%27 Jul →
mirage13–8-0.076%27 Jul →
nuke10–13-0.0312%26 Jul →
inferno9–13-0.0310%25 Jul →
dust27–13-0.0313%25 Jul →
anubis9–13-0.0013%25 Jul →
ancient13–10-0.0120%25 Jul →
nuke5–13-0.0318%24 Jul →
anubis12–120.0414%24 Jul →
anubis11–13-0.0116%15 Jul →
cache13–5-0.022%14 Jul →
dust213–30.0125%14 Jul →
nuke7–13-0.0017%14 Jul →
mirage11–130.0412%14 Jul →
inferno9–13-0.0220%14 Jul →
anubis13–20.1112%14 Jul →
mirage13–10.1517%14 Jul →
inferno2–13-0.0119%14 Jul →
nuke6–130.0712%13 Jul →
anubis13–70.0413%13 Jul →
dust213–40.0415%13 Jul →
cache11–13-0.038%13 Jul →
cache13–160.0315%12 Jul →
dust213–6-0.0427%12 Jul →
cache11–130.0211%11 Jul →
anubis13–40.0111%10 Jul →
mirage9–130.017%10 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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