Tuuli :3

Tuuli :3 — CS2 Stats

FI76561198869388317[U:1:909122589]Steam profile ↗✓ No bans

3,234Tracked matches55%Win rate2022Tracked since
3,355Hours in CS28Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
FaceitLevel 10 · 2,279 ELOTop 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
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 · 2,279 → 2,279
+94Tracked matches · now 3,234
−8.2ppWin rate · 63.3% → 55.2%

Rating over time

Faceit ELO: 2,279 +0 1 Sept – 20 Sept · 4 observations
2,2792,279peak 2,2791 Sept20 Sept
2,279Highest Faceit ELO seen on CSDB
54Days played since 2026-07-22

Faceit ELO

  • At peak — 2,279
  • Next: 2,500 ELO at 2,500 — 221 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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate56.7%50.9%
Shot accuracy5.7%13.7%
Kill/death ratio1.041.09
Match win rate45.7%48.4%

Share this profile

CSDB.GGTuuli :3FACEITLevel 10 · 2,279 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,279csdb.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

Aim84
Positioning61
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateLLTLWLWWWL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +0.6pp headshot accuracy · −7ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 509ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 503ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 507ms

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 (+1.5 against its own average).

Aim8.4
Utility5.9
Positioning6.1
Opening Duels2.7
Clutch3.6

Strong T-side opener

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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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 →

Strengths & areas to improve

Areas to improve

CT openings. Opening success drops from 51% on T to 33% on CT — first contacts on the defending side are being lost.

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

Aim8.4
Positioning6.1
Utility5.9
Mechanics7.7
Opening Duels2.9
Win Impact6.7

Composite 6.7/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time523ms−36ms
first ⅓ avg 559ms → last ⅓ avg 523ms
Headshot accuracy23.0%−0.8%
first ⅓ avg 23.8% → last ⅓ avg 23.0%

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

0.27Best match rating · 9–0 · fachwerk, 27 Aug →
43%Best headshot accuracy · 13–11 · ancient, 23 Jul →
383msFastest reaction time · 13–4 · ancient, 30 Jul →
13–0Biggest win · ancient, 2 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
8–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 67% over 27infernoWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
ancientS2718–967%-0.01
anubisB189–950%-0.00
nukeS1711–665%0.01
infernoB115–645%0.01
mirageS64–267%-0.01
officeB63–350%0.01
fachwerk—43–175%0.11
vertigo—32–167%0.01
debris—30–30%-0.05
train—21–150%0.04
overpass—10–10%-0.01
boulder—10–10%0.03
shelter—11–0100%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

146,493Lifetime kills
1.04K/D
4,948Matches
45.7%Match win rate
56.7%Headshot % · Top 25% of Level 10 players
5.7%Shot accuracy
16,126MVPs
6,072Hours (in match)
5,347Bombs planted
4,092Bombs defused

Most-used weapons

AK-4777,778
AWP5,995
Knife2,469
MP92,406
MAC-101,646

Lifetime map wins

7,343nuke
6,213inferno
3,508train
2,890vertigo
2,400dust2
733lake
359office
170cbble

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

Faceit stats

Combat

1,647Matches
52%Win rate
1.07Avg K/D
73.2ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
16Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage30850%1.0214.3
Ancient29956%1.1015.3
Anubis24452%0.9714.2
Nuke21856%1.1116.1
Inferno9246%0.9715.0
Train9160%1.1215.8
Overpass7451%1.0815.8
Vertigo5740%1.0315.0

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.

24.4%Headshot accuracy
33.8%Accuracy (enemy spotted)
39.3%Spray accuracy
84.9%Counter-strafing
9.6°Preaim
530msReaction time
50.6%T opening success
32.7%CT opening success
0.55Enemies flashed / flash
12.8%Flash assists
10.72HE damage / grenade
6.10Flashes / 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

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

    CT opening duels 32.7172% — 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.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–130.0231%1 Nov →
overpass11–13-0.0115%30 Oct →
mirage12–120.0721%28 Oct →
vertigo11–13-0.0313%27 Oct →
nuke13–80.0321%26 Oct →
anubis9–130.0423%24 Oct →
anubis16–14-0.0123%23 Oct →
anubis13–100.0730%19 Oct →
ancient13–20.0133%19 Oct →
ancient6–13-0.0527%12 Oct →
anubis13–100.0535%11 Oct →
nuke13–90.0326%10 Oct →
train8–130.0232%9 Oct →
office13–60.0831%7 Oct →
ancient12–16-0.0113%6 Oct →
train13–90.0627%5 Oct →
vertigo13–60.0521%5 Oct →
mirage3–00.000%5 Oct →
mirage11–13-0.0229%3 Oct →
anubis13–70.0116%3 Oct →
nuke7–13-0.0227%29 Sept →
ancient10–130.0234%28 Sept →
ancient6–13-0.0941%22 Sept →
inferno3–90.0118%20 Sept →
nuke9–50.0816%20 Sept →
ancient13–11-0.0529%19 Sept →
ancient13–7-0.0111%18 Sept →
nuke13–40.0434%18 Sept →
anubis3–13-0.0515%17 Sept →
ancient4–13-0.0713%14 Sept →
inferno13–90.0326%13 Sept →
mirage13–7-0.0220%11 Sept →
inferno6–13-0.0611%10 Sept →
anubis13–10-0.0331%9 Sept →
anubis13–20.0819%8 Sept →
inferno9–13-0.0621%3 Sept →
nuke13–5-0.0226%3 Sept →
nuke13–40.0422%3 Sept →
ancient13–00.0520%2 Sept →
ancient13–9-0.0119%2 Sept →
anubis9–130.0021%1 Sept →
ancient10–13-0.0422%1 Sept →
inferno13–20.0321%1 Sept →
ancient13–6-0.0713%31 Aug →
nuke13–90.0115%31 Aug →
anubis8–13-0.0327%31 Aug →
inferno9–30.1335%30 Aug →
debris1–9-0.170%30 Aug →
fachwerk13–100.0628%27 Aug →
fachwerk9–00.2731%27 Aug →
ancient13–11-0.0429%27 Aug →
inferno11–13-0.0124%27 Aug →
inferno13–40.1038%27 Aug →
inferno4–13-0.1024%27 Aug →
mirage13–11-0.0426%27 Aug →
nuke11–13-0.0321%24 Aug →
nuke6–13-0.0628%22 Aug →
anubis13–10.0422%22 Aug →
inferno13–60.0217%22 Aug →
boulder5–130.0320%21 Aug →
office6–130.0334%21 Aug →
nuke2–13-0.0238%21 Aug →
fachwerk13–60.0628%20 Aug →
shelter13–7-0.0018%20 Aug →
office13–70.1234%20 Aug →
ancient13–100.0229%17 Aug →
nuke10–13-0.0741%15 Aug →
ancient13–40.0712%15 Aug →
mirage13–9-0.0418%12 Aug →
ancient13–90.0125%12 Aug →
anubis2–13-0.0432%10 Aug →
ancient5–130.0430%8 Aug →
anubis8–13-0.0114%8 Aug →
fachwerk12–120.0431%6 Aug →
debris6–9-0.047%6 Aug →
ancient13–9-0.0026%4 Aug →
office6–13-0.0726%31 Jul →
office2–2-0.150%31 Jul →
office13–80.0638%31 Jul →
vertigo13–90.0025%31 Jul →
debris5–90.0714%30 Jul →
ancient13–40.0134%30 Jul →
anubis1–13-0.0839%29 Jul →
ancient13–30.0931%26 Jul →
ancient13–6-0.0329%25 Jul →
ancient11–13-0.0821%25 Jul →
nuke16–12-0.0124%25 Jul →
nuke13–60.0419%25 Jul →
ancient13–110.0520%25 Jul →
ancient13–8-0.0719%24 Jul →
anubis10–130.0018%24 Jul →
nuke14–16-0.0218%24 Jul →
anubis13–110.0127%24 Jul →
anubis13–70.0112%23 Jul →
ancient13–11-0.0343%23 Jul →
anubis6–13-0.0930%23 Jul →
ancient13–16-0.0226%23 Jul →
ancient13–80.0229%22 Jul →
nuke16–140.0023%22 Jul →
nuke13–50.0728%22 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K 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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