VauhtiNalle :D

VauhtiNalle :D — CS2 Stats

FI76561197989436423[U:1:29170695]Steam profile ↗✓ No bans

2,133Tracked matches61%Win rate2020Tracked since
CSDB Rating6.8 SolidPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (65 days ago). Ranks are recorded once per day this page is viewed.

+15Tracked matches · now 2,133
+2.1ppWin rate · 58.6% → 60.7%

Rating over time

Premier CS Rating: 18,401 -8 13 Apr – 18 May · 8 days played
18,40119,696peak 19,69613 Apr18 May
19,812Peak Premier in tracked matches
40Days played since 2026-04-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGVauhtiNalle :DFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.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

Aim72
Positioning62
Utility60

0–100 skill scores via Leetify.

Recent form

HOT55–43–2Last 10055%Win rateWWLWWLLWWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +2.9pp headshot accuracy · −15ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 525ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 528ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 536ms

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 (+1.9 against its own average).

Aim7.2
Utility6.0
Positioning6.2
Opening Duels3.7
Clutch1.4

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 87% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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. 557ms 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

Aim7.2
Positioning6.2
Utility6.0
Mechanics8.0
Opening Duels4.7
Win Impact8.6

Composite 6.8/10 (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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time568ms−77ms
first ⅓ avg 645ms → last ⅓ avg 568ms
Headshot accuracy14.7%+2.2%
first ⅓ avg 12.5% → last ⅓ avg 14.7%

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

0.12Best match rating · 13–6 · overpass, 8 Apr →
27%Best headshot accuracy · 13–8 · inferno, 13 Aug →
422msFastest reaction time · 7–13 · nuke, 21 Aug →
13–1Biggest win · inferno, 28 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
5–6In matches decided by ≤2 rounds
17Overtime games

Map breakdown

infernoBest map · 65% over 34ancientWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
infernoS3422–1265%-0.01
nukeA2012–860%0.00
ancientD186–1233%-0.02
overpassA127–558%0.01
cacheA85–363%-0.02
anubisC52–340%-0.05
dust2—20–20%0.02
train—11–0100%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

686Matches
52%Win rate
0.91Avg K/D
73.5ADR
35%Headshot %

Clutches & streaks

27%1v1 clutch win
10%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno2374%0.9314.8
Nuke1275%1.0516.2
Ancient1145%0.8914.2
Cache757%0.8713.0
Overpass540%1.1210.6
Vertigo20%0.7311.5
Anubis1100%0.7414.0

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.

15.3%Headshot accuracy
34.1%Accuracy (enemy spotted)
36.0%Spray accuracy
86.0%Counter-strafing
9.9°Preaim
557msReaction time
45.9%T opening success
51.8%CT opening success
0.66Enemies flashed / flash
2.8%Flash assists
8.85HE damage / grenade
8.36Flashes / match

Recommended for you

Spend your practice time on Ancient

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

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke19–16-0.0316%4 Nov →
inferno13–9-0.0014%1 Nov →
dust210–130.0119%1 Nov →
inferno13–1-0.0010%28 Oct →
nuke22–18-0.0121%24 Oct →
nuke10–130.0017%23 Oct →
ancient11–13-0.0217%23 Oct →
anubis13–11-0.0322%23 Oct →
inferno22–180.0011%21 Oct →
inferno16–14-0.0616%21 Oct →
inferno12–120.0114%13 Oct →
dust211–130.0219%13 Oct →
nuke13–40.058%13 Oct →
nuke13–9-0.0116%8 Oct →
nuke11–13-0.0818%8 Oct →
nuke7–13-0.0119%21 Aug →
inferno13–6-0.0012%21 Aug →
inferno13–70.0115%21 Aug →
anubis1–13-0.053%13 Aug →
ancient13–11-0.019%13 Aug →
overpass12–12-0.0211%13 Aug →
nuke7–13-0.0118%13 Aug →
cache13–5-0.035%13 Aug →
inferno13–8-0.0127%13 Aug →
ancient13–30.0514%29 Jul →
cache14–16-0.0714%29 Jul →
inferno9–13-0.0314%29 Jul →
ancient1–9-0.0321%28 Jul →
inferno19–16-0.0013%24 Jul →
inferno13–7-0.0418%24 Jul →
nuke13–80.058%23 Jul →
inferno10–13-0.0710%23 Jul →
inferno13–10-0.0416%17 Jul →
nuke13–20.0620%17 Jul →
cache8–13-0.0022%17 Jul →
inferno12–16-0.0314%17 Jul →
nuke13–70.0120%16 Jul →
ancient13–16-0.0011%24 May →
nuke13–60.0711%21 May →
cache13–9-0.005%21 May →
overpass13–10.0810%21 May →
inferno9–13-0.079%21 May →
cache13–4-0.0214%20 May →
ancient16–13-0.0311%20 May →
inferno14–16-0.0019%19 May →
overpass9–13-0.059%19 May →
ancient4–13-0.058%18 May →
inferno7–4-0.060%18 May →
overpass13–20.0416%18 May →
cache13–9-0.0120%18 May →
ancient16–130.0111%15 May →
overpass5–13-0.0413%15 May →
inferno16–12-0.0111%15 May →
overpass13–60.0018%15 May →
ancient8–13-0.0513%13 May →
inferno13–70.0421%12 May →
inferno13–110.0320%12 May →
cache13–90.017%11 May →
ancient13–60.0414%11 May →
nuke13–60.057%8 May →
inferno14–16-0.033%8 May →
inferno13–70.0212%7 May →
cache5–13-0.0512%7 May →
anubis6–130.0211%26 Apr →
nuke5–130.0613%26 Apr →
anubis13–9-0.099%25 Apr →
overpass9–13-0.019%25 Apr →
inferno5–13-0.038%25 Apr →
train13–7-0.028%25 Apr →
inferno13–70.028%24 Apr →
inferno7–13-0.0512%24 Apr →
nuke7–13-0.0410%23 Apr →
ancient10–13-0.0614%23 Apr →
ancient6–13-0.0714%21 Apr →
inferno13–90.0021%21 Apr →
nuke13–90.0419%20 Apr →
ancient8–13-0.0216%20 Apr →
overpass13–60.0610%20 Apr →
ancient6–13-0.0112%14 Apr →
nuke9–13-0.0119%14 Apr →
nuke13–5-0.0413%14 Apr →
inferno13–16-0.0110%13 Apr →
inferno10–10.006%13 Apr →
ancient8–130.038%13 Apr →
overpass13–6-0.0015%10 Apr →
inferno13–60.0120%10 Apr →
ancient9–13-0.0221%10 Apr →
inferno16–14-0.037%10 Apr →
nuke6–13-0.0513%10 Apr →
inferno13–16-0.0214%9 Apr →
overpass5–13-0.069%9 Apr →
inferno8–00.0112%9 Apr →
overpass13–60.1211%8 Apr →
ancient6–13-0.0511%8 Apr →
inferno13–60.0717%8 Apr →
nuke16–12-0.0215%6 Apr →
anubis5–13-0.0913%6 Apr →
inferno6–13-0.0610%6 Apr →
ancient13–8-0.036%6 Apr →
overpass13–100.059%4 Apr →

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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