Kattalliaa

Kattalliaa — CS2 Stats

UA76561198254312664[U:1:294046936]Steam profile ↗✓ No bans

3,038Tracked matches59%Win rate2024Tracked since
2,012Hours in CS
CSDB Rating4.5 DevelopingSupport
Premier CS Rating14,967Blue band · top ~28.6% of ranked players (population est.)
FaceitLevel 5 · 953 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (7 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: 14,967 +3,246 16 Sept – 12 Oct · 14 days played
11,56215,000peak 15,00016 Sept12 Oct
15,119Peak Premier in tracked matches
953Highest Faceit ELO seen on CSDB
17Days played since 2026-09-16

Faceit ELO

  • At peak — 953
  • Next: Level 5 at 1,051 — 98 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 33 below peak (15,000)
  • +3,246 over 30 days · improving
  • Next: Purple band at 15,000 — 33 to go
  • Reached: Purple band · 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 30 days vs previous 30

MetricLast 30Previous 30Change
Matches129——
Win rate50%——
K/D0.85——
Headshot %36%——

Measured 21 Sep 2026 → 19 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 5 among CSDB-tracked players (n=13,934), 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 5 medianLevel 6 medianvs Level 6
Headshot rate40.1%43.7%44.8%4.7% short
Shot accuracy0.0%12.0%12.4%12.4% short
Kill/death ratio0.801.021.030.24 short
Match win rate46.3%44.7%45.2%above

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKattalliaaFACEITLevel 5 · 953 ELOSTANDINGTop 67.6% of rankedPREMIER14,967 · Blue bandPEAK ELO953csdb.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

Aim38
Positioning56
Utility72

0–100 skill scores via Leetify.

Recent form

HOT51–47–2Last 10051%Win rateWLWLWWWWTW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +0.1pp headshot accuracy · +57ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 606ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 588ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 560ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim3.8
Utility7.2
Positioning5.6
Opening Duels4.3
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

jL

Plays most like jL 58% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 63% on T to 42% on CT — first contacts on the defending side are being lost.

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 51% 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

Aim3.8
Positioning5.6
Utility7.2
Mechanics0.3
Opening Duels5.7
Win Impact7.9

Composite 4.5/10 (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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time562ms−37ms
first ⅓ avg 599ms → last ⅓ avg 562ms
Headshot accuracy12.6%+0.5%
first ⅓ avg 12.0% → last ⅓ avg 12.6%

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

0.09Best match rating · 13–8 · dust2, 22 Sept →
24%Best headshot accuracy · 16–12 · mirage, 11 Oct →
422msFastest reaction time · 11–13 · mirage, 10 Oct →
12–0Biggest win · nuke, 29 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–8In matches decided by ≤2 rounds
17Overtime games

Map breakdown

dust2Best map · 57% over 23infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB3618–1850%-0.01
dust2A2313–1057%-0.01
anubisA116–555%0.00
infernoD103–730%-0.00
ancientA74–357%-0.01
cacheA74–357%-0.01
nukeB63–350%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,132Lifetime kills
0.80K/D
4,737Matches
46.3%Match win rate · Top 50% of Level 5 players
40.1%Headshot %
0.0%Shot accuracy
8,818MVPs
2,012Hours (in match)
4,686Bombs planted
1,338Bombs defused

Most-used weapons

AK-4712,478
AWP6,365
MAC-106,305
XM10144,797
MP93,149
MP73,055
P902,481

Lifetime map wins

10,445dust2
8,203inferno
3,326nuke
1,010vertigo
253train
11cbble
1ar_baggage

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

Faceit stats

Combat

2,163Matches
49%Win rate
0.87Avg K/D
72.3ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage70653%0.8713.3
Inferno42949%0.8712.9
Ancient32550%0.8412.7
Dust229341%0.8513.3
Anubis27352%0.9715.1
Nuke7845%0.8312.7
Overpass2326%0.6311.9
Cache1650%0.9613.4

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.

12.7%Headshot accuracy
34.7%Accuracy (enemy spotted)
36.3%Spray accuracy
51.5%Counter-strafing
11.4°Preaim
558msReaction time
63.1%T opening success
42.2%CT opening success
0.69Enemies flashed / flash
4.3%Flash assists
11.01HE damage / grenade
16.47Flashes / 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 12.6874% — below the 15% mark we flag

    Aim Training →
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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–40.039%12 Oct →
inferno8–130.0515%12 Oct →
ancient13–90.046%12 Oct →
mirage5–13-0.095%12 Oct →
dust213–10-0.0315%12 Oct →
dust213–10-0.0810%12 Oct →
mirage16–120.0124%11 Oct →
mirage16–140.0213%11 Oct →
dust215–150.0316%11 Oct →
mirage13–90.0410%11 Oct →
mirage13–60.0313%11 Oct →
mirage11–13-0.0016%10 Oct →
cache13–30.0310%10 Oct →
mirage10–13-0.007%10 Oct →
anubis13–160.017%9 Oct →
mirage13–50.0719%9 Oct →
dust212–60.0612%9 Oct →
anubis9–13-0.0313%6 Oct →
ancient11–13-0.1213%3 Oct →
dust213–90.0511%3 Oct →
mirage7–13-0.0914%3 Oct →
mirage7–13-0.0312%3 Oct →
mirage16–13-0.0117%3 Oct →
mirage13–7-0.0310%3 Oct →
dust22–13-0.0811%3 Oct →
anubis9–13-0.013%3 Oct →
dust216–14-0.0418%3 Oct →
dust213–80.0011%3 Oct →
mirage9–13-0.0315%3 Oct →
anubis13–40.0219%3 Oct →
anubis9–13-0.019%2 Oct →
inferno11–13-0.0120%2 Oct →
mirage12–16-0.0111%2 Oct →
ancient9–13-0.0710%2 Oct →
mirage7–13-0.0313%2 Oct →
mirage13–90.0113%2 Oct →
dust24–13-0.1213%2 Oct →
anubis10–13-0.0513%2 Oct →
mirage13–10-0.0411%1 Oct →
ancient16–140.0416%30 Sept →
inferno13–10-0.0313%30 Sept →
mirage11–130.027%30 Sept →
mirage3–130.0113%30 Sept →
dust26–130.0018%30 Sept →
mirage8–130.0713%30 Sept →
anubis13–70.0515%30 Sept →
inferno6–13-0.057%30 Sept →
cache11–13-0.027%30 Sept →
dust211–130.0214%29 Sept →
inferno13–160.0312%29 Sept →
nuke12–00.055%29 Sept →
cache13–9-0.0510%25 Sept →
dust213–11-0.0111%25 Sept →
inferno4–130.0417%25 Sept →
inferno6–13-0.067%25 Sept →
dust216–130.0122%25 Sept →
anubis13–30.019%25 Sept →
ancient16–140.0310%23 Sept →
inferno13–60.0714%23 Sept →
mirage13–160.0414%23 Sept →
dust211–30.0413%23 Sept →
mirage7–130.069%23 Sept →
cache13–11-0.039%23 Sept →
anubis13–40.008%23 Sept →
dust210–130.0417%23 Sept →
nuke11–13-0.025%23 Sept →
mirage13–5-0.0215%22 Sept →
dust210–13-0.0511%22 Sept →
mirage13–40.0811%22 Sept →
cache13–80.0511%22 Sept →
mirage16–13-0.056%22 Sept →
nuke13–100.044%22 Sept →
mirage12–16-0.0522%22 Sept →
dust213–90.0118%22 Sept →
nuke13–5-0.046%22 Sept →
mirage13–7-0.0111%22 Sept →
nuke3–13-0.019%22 Sept →
mirage15–150.0112%22 Sept →
cache6–130.0113%22 Sept →
dust213–80.0911%22 Sept →
anubis13–10.0113%22 Sept →
cache10–13-0.0213%21 Sept →
dust213–10.0322%21 Sept →
dust27–13-0.0017%21 Sept →
dust23–13-0.0514%21 Sept →
anubis13–70.0113%21 Sept →
ancient13–70.0220%21 Sept →
mirage16–14-0.054%19 Sept →
dust216–140.0121%19 Sept →
inferno4–13-0.076%17 Sept →
mirage4–13-0.108%17 Sept →
nuke0–130.0221%17 Sept →
mirage13–4-0.009%17 Sept →
dust29–13-0.0513%17 Sept →
mirage13–20.0611%17 Sept →
ancient10–130.006%17 Sept →
mirage6–13-0.059%17 Sept →
mirage11–13-0.0210%16 Sept →
mirage13–4-0.0411%16 Sept →
mirage13–8-0.0413%16 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.