Toni Paska

Toni Paska — CS2 Stats

FI76561198165616337[U:1:205350609]Steam profile ↗✓ No bans

1,850Tracked matches41%Win rate2020Tracked since
2,298Hours in CS9Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating20,303Top 50% of 213,211 CSDB-tracked playersPink band · top ~8.2% of ranked players (population est.)
CSDB Leaderboard#79301 of 259949 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (4 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: 20,303 -426 22 Jul – 1 Nov · 37 days played
19,59122,138peak 22,13822 Jul1 Nov
22,138Peak Premier in tracked matches
1,345Highest Faceit ELO seen on CSDB
42Days played since 2026-07-22

Premier CS Rating

  • 1,835 below peak (22,138)
  • -1,273 over 30 days · declining
  • +712 over 90 days
  • Next: Red band at 25,000 — 4,697 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-10
  • Purple band first seen 2026-09-10

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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate43.1%46.8%48.2%5.1% short
Shot accuracy8.7%13.0%13.2%4.5% short
Kill/death ratio1.231.061.07above
Match win rate49.3%46.3%46.9%above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGToni PaskaFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER20,303 · Pink bandPEAK ELO1,345csdb.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

Aim74
Positioning48
Utility61

0–100 skill scores via Leetify.

Recent form

COLD49–47–4Last 10049%Win rateLWLWTLLWLL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +0.9pp headshot accuracy · +35ms 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 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 577ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 549ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 532ms

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 (+2.4 against its own average).

Aim7.4
Utility6.1
Positioning4.8
Opening Duels0.0
Clutch4.0

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

ropz

Plays most like ropz 74% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Aim7.4
Positioning4.8
Utility6.1
Mechanics4.7
Opening Duels0.6
Win Impact2.1

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time515ms−51ms
first ⅓ avg 566ms → last ⅓ avg 515ms
Headshot accuracy18.2%+1.0%
first ⅓ avg 17.2% → last ⅓ avg 18.2%

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

0.19Best match rating · 13–6 · inferno, 8 Aug →
43%Best headshot accuracy · 13–6 · cache, 13 Sept →
375msFastest reaction time · 13–3 · nuke, 23 Aug →
13–1Biggest win · anubis, 25 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 67% over 6mirageWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
infernoA2012–860%0.03
anubisA1911–858%0.02
ancientD185–1328%0.01
cacheA1610–663%0.03
mirageD143–1121%0.00
nukeA74–357%0.05
dust2S64–267%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (21% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,890Lifetime kills
1.23K/D · Top 25% of Level 8 players
2,883Matches
49.3%Match win rate · Top 25% of Level 8 players
43.1%Headshot %
8.7%Shot accuracy
6,476MVPs
1,200Hours (in match)
4,746Bombs planted
1,050Bombs defused

Most-used weapons

AK-4718,713
AWP2,448
MP92,363
MAC-101,109
P2501,091

Lifetime map wins

4,726inferno
2,692dust2
2,461nuke
1,134vertigo
1,058train
281cbble
171lake
157bank

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

Faceit stats

Combat

213Matches
54%Win rate
1.24Avg K/D
81.9ADR
46%Headshot %

Clutches & streaks

40%1v1 clutch win
29%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5652%1.1515.0
Anubis3566%1.4619.7
Inferno3145%1.4418.4
Ancient2752%1.0914.4
Dust21471%1.1814.4
Nuke1346%1.1816.2
Cache1080%1.6017.9
Train956%1.0715.2

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.

18.4%Headshot accuracy
35.9%Accuracy (enemy spotted)
42.4%Spray accuracy
71.4%Counter-strafing
10.6°Preaim
516msReaction time
33.0%T opening success
31.9%CT opening success
0.53Enemies flashed / flash
8.5%Flash assists
7.68HE damage / grenade
16.48Flashes / 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. 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 33.0097% — below the 40% mark we flag

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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0218%1 Nov →
ancient13–110.0210%1 Nov →
anubis8–130.016%29 Oct →
dust216–120.0315%23 Oct →
mirage15–150.0120%23 Oct →
mirage6–13-0.0830%23 Oct →
dust213–160.0519%22 Oct →
inferno13–90.0822%22 Oct →
anubis9–130.0913%22 Oct →
nuke11–13-0.0115%21 Oct →
anubis13–8-0.0214%21 Oct →
mirage5–13-0.0513%21 Oct →
anubis8–13-0.0216%20 Oct →
cache13–30.0423%20 Oct →
dust26–2-0.0121%20 Oct →
mirage8–130.0110%20 Oct →
nuke8–130.0214%15 Oct →
ancient4–130.0218%15 Oct →
cache13–10-0.0226%15 Oct →
anubis8–13-0.075%15 Oct →
cache1–6-0.0714%6 Oct →
inferno13–110.0525%4 Oct →
anubis13–110.0218%30 Sept →
nuke4–130.1026%26 Sept →
mirage4–130.0825%26 Sept →
dust213–9-0.0028%25 Sept →
anubis13–10.1431%25 Sept →
ancient13–160.0118%25 Sept →
anubis13–80.0215%24 Sept →
mirage4–130.0332%24 Sept →
inferno13–110.0414%24 Sept →
inferno4–13-0.0317%16 Sept →
ancient14–16-0.037%15 Sept →
cache13–30.1124%14 Sept →
anubis8–10.0120%14 Sept →
nuke13–20.0833%13 Sept →
ancient3–130.0320%13 Sept →
cache13–60.0143%13 Sept →
mirage13–100.0614%6 Sept →
inferno13–90.0419%4 Sept →
anubis5–130.0021%4 Sept →
mirage1–13-0.0010%2 Sept →
inferno15–150.1221%1 Sept →
ancient7–13-0.0119%1 Sept →
ancient13–110.0914%28 Aug →
inferno14–16-0.0121%25 Aug →
anubis1–130.0118%25 Aug →
nuke13–30.0413%23 Aug →
cache10–130.058%23 Aug →
anubis13–90.0419%17 Aug →
nuke13–60.0213%17 Aug →
anubis13–70.0311%17 Aug →
dust213–7-0.019%14 Aug →
nuke13–40.0713%13 Aug →
cache5–13-0.0415%13 Aug →
ancient11–13-0.0415%13 Aug →
ancient12–160.0814%12 Aug →
inferno13–100.0412%12 Aug →
inferno13–100.0030%11 Aug →
anubis13–30.0117%11 Aug →
cache13–80.0321%10 Aug →
anubis4–13-0.0829%10 Aug →
inferno3–13-0.0124%10 Aug →
cache13–50.0317%10 Aug →
ancient1–90.0416%10 Aug →
mirage12–16-0.0615%8 Aug →
inferno13–60.1915%8 Aug →
ancient13–160.0218%8 Aug →
cache13–10-0.048%7 Aug →
ancient8–10.0622%7 Aug →
cache11–130.0314%7 Aug →
inferno13–2-0.007%7 Aug →
ancient3–130.009%7 Aug →
anubis13–60.0713%6 Aug →
cache13–50.0713%4 Aug →
cache13–40.0714%4 Aug →
cache15–150.0423%2 Aug →
mirage13–70.0123%2 Aug →
ancient6–130.0311%2 Aug →
anubis13–70.0814%1 Aug →
ancient4–130.0020%1 Aug →
inferno10–130.0121%1 Aug →
cache10–13-0.0110%1 Aug →
inferno13–100.0018%31 Jul →
mirage5–13-0.0219%31 Jul →
inferno9–130.0119%31 Jul →
inferno10–130.0219%27 Jul →
ancient13–10-0.0126%27 Jul →
mirage6–13-0.0220%27 Jul →
mirage13–60.0523%25 Jul →
ancient13–50.0226%25 Jul →
inferno13–100.0412%25 Jul →
ancient4–13-0.0724%25 Jul →
inferno9–130.0321%24 Jul →
mirage15–150.039%24 Jul →
anubis6–13-0.0430%24 Jul →
cache13–30.1418%23 Jul →
inferno13–80.0316%23 Jul →
inferno13–50.0115%22 Jul →
anubis13–90.0415%22 Jul →

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.