Torkuttaja

Torkuttaja — CS2 Stats

FI76561198889525876[U:1:929260148]Steam profile ↗✓ No bans

2,218Tracked matches57%Win rate2020Tracked since
CSDB Rating7.0 StrongSupport
Premier CS Rating25,566Top 10% of 204,219 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#15848 of 251325 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (36 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 25,566 → 25,566
0Faceit ELO · 2,052 → 2,052
+28Tracked matches · now 2,218
+4.5ppWin rate · 52.2% → 56.7%

Rating over time

Premier CS Rating: 25,566 -433 30 Jan – 6 Sept · 7 days played
25,56626,297peak 26,29730 Jan6 Sept
26,562Peak Premier in tracked matches
2,052Highest Faceit ELO seen on CSDB
27Days played since 2026-01-30

Faceit ELO

  • At peak — 2,052
  • Next: 2,500 ELO at 2,500 — 448 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-06
  • Level 9 first seen 2026-09-06

Premier CS Rating

  • 731 below peak (26,297)
  • Next: Gold band at 30,000 — 4,434 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-06
  • Pink band first seen 2026-09-06

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.GGTorkuttajaPREMIER25,566 · Red bandPEAK ELO2,052csdb.gg/stats

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Performance scores

Aim80
Positioning56
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY58–33–9Last 10058%Win rateWLWLLWLWWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −5.1pp headshot accuracy · +40ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 577ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 587ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 567ms

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 (+2.1 against its own average).

Aim8.0
Utility6.6
Positioning5.6
Opening Duels2.9
Clutch3.0

Effective flashes

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

ZywOo

Plays most like ZywOo 94% 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

Areas to improve

Reaction time. 560ms 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

Aim8.0
Positioning5.6
Utility6.6
Mechanics7.4
Opening Duels3.1
Win Impact7.2

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time573ms−22ms
first ⅓ avg 595ms → last ⅓ avg 573ms
Headshot accuracy21.9%+2.7%
first ⅓ avg 19.2% → last ⅓ avg 21.9%

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

0.15Best match rating · 3–1 · cache, 29 Sept →
78%Best headshot accuracy · 3–1 · cache, 29 Sept →
430msFastest reaction time · 13–5 · ancient, 1 Oct →
13–1Biggest win · train, 1 Feb →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

trainBest map · 80% over 5dust2Weakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
ancientS2014–670%0.02
cacheC177–1041%-0.01
nukeA1610–663%-0.02
infernoS129–375%0.03
anubisA116–555%0.00
mirageB84–450%0.01
dust2D72–529%-0.01
trainS54–180%0.01
overpass—42–250%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,166Matches
52%Win rate
1.01Avg K/D
74.2ADR
37%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient7355%0.9713.7
Mirage6245%0.9411.7
Nuke6162%1.1014.5
Anubis5753%0.9413.3
Overpass2756%0.9614.2
Inferno2658%1.0013.2
Dust21937%1.0315.4
Train450%1.0415.0

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.

20.9%Headshot accuracy
36.0%Accuracy (enemy spotted)
36.5%Spray accuracy
83.5%Counter-strafing
9.4°Preaim
560msReaction time
44.0%T opening success
40.6%CT opening success
0.72Enemies flashed / flash
11.7%Flash assists
11.21HE damage / grenade
9.19Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0113%12 Oct →
anubis11–13-0.0519%12 Oct →
ancient13–100.0529%12 Oct →
cache10–130.0430%12 Oct →
nuke8–130.0020%12 Oct →
ancient13–8-0.088%12 Oct →
nuke3–13-0.0518%6 Oct →
ancient13–60.0515%6 Oct →
nuke13–11-0.0319%6 Oct →
cache13–4-0.0122%6 Oct →
inferno9–20.1421%6 Oct →
anubis7–130.0028%6 Oct →
cache3–13-0.0136%5 Oct →
nuke5–13-0.0129%5 Oct →
mirage11–13-0.0224%3 Oct →
inferno13–60.0622%3 Oct →
ancient9–13-0.0222%3 Oct →
cache13–4-0.0122%3 Oct →
nuke13–60.0117%2 Oct →
ancient13–70.0023%2 Oct →
nuke13–60.0028%1 Oct →
ancient13–5-0.0619%1 Oct →
anubis10–30.0613%1 Oct →
ancient6–13-0.0217%29 Sept →
nuke8–13-0.0512%29 Sept →
cache3–10.1578%29 Sept →
cache13–70.0415%9 Sept →
ancient4–130.0416%9 Sept →
dust26–13-0.0719%26 Jun →
cache13–10-0.0319%7 May →
cache3–130.0424%5 May →
cache13–30.0119%5 May →
cache12–12-0.037%4 May →
cache8–13-0.0114%4 May →
cache12–12-0.0324%1 May →
cache9–13-0.0416%1 May →
cache0–5-0.1214%1 May →
inferno13–10-0.0221%1 May →
cache12–12-0.0318%29 Apr →
cache13–60.0315%29 Apr →
cache4–13-0.1115%29 Apr →
ancient11–130.0510%27 Apr →
anubis13–8-0.078%27 Apr →
anubis15–150.0217%21 Apr →
overpass13–6-0.0021%21 Apr →
overpass12–12-0.099%27 Feb →
anubis12–12-0.0313%13 Feb →
ancient13–10-0.0622%13 Feb →
nuke9–13-0.0222%13 Feb →
nuke13–5-0.0418%10 Feb →
ancient13–80.0123%6 Feb →
inferno11–130.0720%5 Feb →
dust213–60.0722%5 Feb →
anubis7–13-0.0220%5 Feb →
mirage7–2-0.0223%5 Feb →
ancient13–50.0523%5 Feb →
overpass13–160.0214%5 Feb →
mirage15–150.0325%5 Feb →
dust25–13-0.087%5 Feb →
anubis16–140.0114%5 Feb →
nuke8–13-0.0516%4 Feb →
ancient10–130.0120%4 Feb →
ancient13–60.0419%4 Feb →
train13–30.0721%4 Feb →
mirage13–50.0424%4 Feb →
inferno13–7-0.0513%4 Feb →
inferno13–70.0221%3 Feb →
train13–10-0.0219%3 Feb →
mirage13–80.0927%3 Feb →
inferno6–13-0.0313%3 Feb →
ancient13–50.0625%3 Feb →
dust213–80.0528%3 Feb →
nuke13–3-0.0218%3 Feb →
inferno13–50.0516%3 Feb →
anubis13–80.0314%3 Feb →
inferno13–90.0322%3 Feb →
dust214–160.0119%2 Feb →
nuke13–110.0214%2 Feb →
train1–13-0.0718%2 Feb →
inferno10–130.0320%1 Feb →
ancient13–40.0618%1 Feb →
ancient13–11-0.0421%1 Feb →
mirage4–130.0116%1 Feb →
ancient13–30.1430%1 Feb →
overpass13–40.0613%1 Feb →
train13–10.0320%1 Feb →
dust212–12-0.0123%1 Feb →
ancient11–13-0.0216%1 Feb →
inferno13–30.1327%1 Feb →
nuke13–80.0313%1 Feb →
anubis13–40.0115%1 Feb →
mirage11–13-0.0225%31 Jan →
dust212–12-0.0211%31 Jan →
mirage13–11-0.0424%31 Jan →
anubis13–90.0616%31 Jan →
inferno13–10-0.0022%31 Jan →
ancient13–80.0720%31 Jan →
train13–70.0212%31 Jan →
nuke13–7-0.0119%30 Jan →
nuke13–10-0.0317%30 Jan →

Match data via Leetify.

Recent teammates

Milestones

2K 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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