Turbohuuli

Turbohuuli — CS2 Stats

FI76561198014915467[U:1:54649739]Steam profile ↗✓ No bans

1,792Tracked matches48%Win rate2023Tracked since
CSDB Rating5.9 SolidSupport
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,792 tracked matches. Play, then come back: the next observation lands here.

Rating over time

25Days played since 2026-07-11

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim63
Positioning58
Utility63

0–100 skill scores via Leetify.

Recent form

COLD44–48–8Last 10044%Win rateLLWLLTWLLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −0.2pp headshot accuracy · +23ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 622ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 645ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 633ms

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 (+2.2 against its own average).

Aim6.3
Utility6.3
Positioning5.8
Opening Duels4.4
Clutch0.0

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

s1mple

Plays most like s1mple 79% 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. 621ms 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

Aim6.3
Positioning5.8
Utility6.3
Mechanics5.9
Opening Duels5.3
Win Impact4.4

Composite 5.9/10 (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 time636ms−59ms
first ⅓ avg 695ms → last ⅓ avg 636ms
Headshot accuracy14.6%+2.0%
first ⅓ avg 12.6% → last ⅓ avg 14.6%

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

0.15Best match rating · 13–3 · mirage, 9 Sept →
35%Best headshot accuracy · 6–13 · ancient, 3 Aug →
484msFastest reaction time · 12–12 · vertigo, 3 Aug →
13–1Biggest win · vertigo, 30 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–7In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 57% over 7nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB2512–1348%-0.02
vertigoC197–1237%-0.00
mirageA95–456%0.01
nukeD81–713%-0.02
ancientC83–538%-0.01
dust2A74–357%-0.00
cacheC73–443%0.02
officeC52–340%0.00
overpass—42–250%-0.04
anubis—33–0100%-0.00
train—10–10%-0.03
debris—10–10%-0.12
shelter—11–0100%0.08
boulder—11–0100%0.04
fachwerk—10–10%0.12

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
0%Win rate
0.80Avg K/D
76.4ADR
33%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

14.6%Headshot accuracy
35.7%Accuracy (enemy spotted)
34.0%Spray accuracy
76.6%Counter-strafing
8.8°Preaim
621msReaction time
55.0%T opening success
47.0%CT opening success
0.61Enemies flashed / flash
7.8%Flash assists
9.90HE damage / grenade
9.53Flashes / 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 14.6348% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno12–160.056%18 Sept →
nuke11–130.0016%18 Sept →
dust213–8-0.0318%18 Sept →
inferno8–130.0714%18 Sept →
vertigo0–5-0.050%18 Sept →
office12–12-0.0428%16 Sept →
vertigo13–100.0617%16 Sept →
ancient7–13-0.0313%16 Sept →
inferno8–13-0.0220%16 Sept →
anubis13–100.0115%16 Sept →
inferno3–130.0014%13 Sept →
nuke3–9-0.0413%9 Sept →
vertigo6–130.0013%9 Sept →
ancient13–40.0612%9 Sept →
mirage13–30.1514%9 Sept →
inferno13–20.0115%9 Sept →
vertigo13–9-0.039%8 Sept →
inferno8–13-0.0417%2 Sept →
vertigo4–13-0.0533%2 Sept →
office8–130.019%2 Sept →
mirage9–13-0.0414%31 Aug →
dust213–60.0613%31 Aug →
dust213–8-0.024%30 Aug →
mirage13–100.0414%30 Aug →
vertigo13–1-0.036%30 Aug →
inferno13–110.0726%30 Aug →
ancient13–80.016%30 Aug →
cache11–130.0517%29 Aug →
train6–13-0.0313%29 Aug →
ancient5–13-0.0121%29 Aug →
vertigo13–100.0112%29 Aug →
dust210–130.0820%29 Aug →
cache2–13-0.0124%29 Aug →
inferno13–9-0.0128%29 Aug →
mirage10–130.0114%29 Aug →
office2–13-0.0530%29 Aug →
inferno5–9-0.1211%28 Aug →
overpass9–70.0220%28 Aug →
vertigo11–13-0.0217%28 Aug →
inferno5–130.0823%28 Aug →
dust29–130.0119%28 Aug →
cache13–90.0434%28 Aug →
nuke11–13-0.0014%28 Aug →
inferno13–8-0.0621%5 Aug →
dust213–4-0.0914%5 Aug →
cache13–20.0617%5 Aug →
mirage6–13-0.0410%5 Aug →
inferno2–13-0.075%3 Aug →
vertigo12–12-0.0821%3 Aug →
cache3–13-0.0721%3 Aug →
ancient6–130.0135%3 Aug →
overpass3–9-0.2220%2 Aug →
vertigo9–40.1415%2 Aug →
inferno13–6-0.0724%2 Aug →
inferno13–11-0.0817%1 Aug →
cache0–4-0.0320%1 Aug →
vertigo1–13-0.0620%1 Aug →
ancient13–11-0.0312%1 Aug →
mirage13–6-0.018%1 Aug →
inferno13–11-0.0023%31 Jul →
vertigo8–130.0716%31 Jul →
vertigo1–5-0.0322%31 Jul →
vertigo10–13-0.086%26 Jul →
mirage13–10.0110%26 Jul →
nuke7–13-0.049%25 Jul →
inferno11–130.0115%25 Jul →
inferno8–13-0.086%23 Jul →
anubis13–4-0.0515%23 Jul →
vertigo13–70.0010%23 Jul →
nuke8–80.038%21 Jul →
inferno9–6-0.074%21 Jul →
overpass9–3-0.0016%21 Jul →
vertigo8–80.065%21 Jul →
dust28–13-0.0320%21 Jul →
nuke13–9-0.0510%21 Jul →
mirage12–12-0.0511%21 Jul →
inferno11–130.059%21 Jul →
debris3–9-0.1216%19 Jul →
overpass5–90.032%19 Jul →
vertigo9–60.074%19 Jul →
nuke12–12-0.023%19 Jul →
mirage13–11-0.0213%19 Jul →
inferno13–10-0.027%19 Jul →
vertigo3–13-0.0217%19 Jul →
vertigo6–90.0414%16 Jul →
inferno13–100.0219%16 Jul →
ancient5–13-0.0510%16 Jul →
cache13–90.1224%14 Jul →
inferno4–13-0.0311%14 Jul →
inferno13–11-0.0611%13 Jul →
nuke12–12-0.0116%13 Jul →
ancient12–12-0.0111%13 Jul →
inferno13–9-0.048%12 Jul →
anubis13–110.038%12 Jul →
office13–9-0.0117%12 Jul →
inferno4–13-0.0128%12 Jul →
shelter13–70.0824%11 Jul →
boulder13–10.0412%11 Jul →
office13–40.1122%11 Jul →
fachwerk11–130.1213%11 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 →

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