Välkammad Utter

Välkammad Utter — CS2 Stats

TC76561197973991113[U:1:13725385]Steam profile ↗✓ No bans

2,179Tracked matches43%Win rate2020Tracked since
CSDB Rating5.5 SolidSupport
Premier CS Rating22,629Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)
CSDB Leaderboard#48896 of 261614 tracked
FaceitLevel 9 · 1,985 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (28 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: 22,629 -1,455 8 Aug – 17 Oct · 12 days played
22,62924,084peak 24,0848 Aug17 Oct
Faceit ELO: 1,985 +0 31 Aug – 22 Sept · 7 observations
1,9851,985peak 1,98531 Aug22 Sept
24,084Peak Premier in tracked matches
1,985Highest Faceit ELO seen on CSDB
26Days played since 2026-08-08

Faceit ELO

  • At peak — 1,985
  • Next: Level 10 at 2,001 — 16 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-31
  • Level 8 first seen 2026-08-31

Premier CS Rating

  • 1,455 below peak (24,084)
  • -538 over 30 days · declining
  • Next: Red band at 25,000 — 2,371 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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.GGVälkammad UtterFACEITLevel 9 · 1,985 ELOSTANDINGTop 20.7% of rankedPREMIER22,629 · Pink bandPEAK ELO1,985csdb.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

Aim58
Positioning59
Utility80

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateLWLWLLLLLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +3.9pp headshot accuracy · +46ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 581ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 581ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 557ms

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 (+3 against its own average).

Aim5.8
Utility8.0
Positioning5.9
Opening Duels1.6
Clutch4.4

High utility contribution

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

iM

Plays most like iM 62% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher utility contribution; 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

Strengths

Utility. Utility score of 80 — grenade impact well above the norm.

Areas to improve

Reaction time. 562ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.8
Positioning5.9
Utility8.0
Mechanics4.2
Opening Duels3.3
Win Impact2.8

Composite 5.5/10 (Solid), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time561ms−18ms
first ⅓ avg 579ms → last ⅓ avg 561ms
Headshot accuracy17.3%+0.4%
first ⅓ avg 17.0% → last ⅓ avg 17.3%

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

0.13Best match rating · 13–2 · inferno, 8 Oct →
38%Best headshot accuracy · 8–13 · dust2, 30 Oct →
406msFastest reaction time · 13–5 · inferno, 30 Sept →
12–0Biggest win · dust2, 4 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 63% over 30cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A3019–1163%0.01
infernoA2615–1158%0.02
nukeB2210–1245%0.00
anubisD93–633%-0.01
ancientD62–433%0.00
cacheD50–50%-0.01
mirage—20–20%-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

892Matches
53%Win rate
1.22Avg K/D
82.8ADR
39%Headshot %

Clutches & streaks

42%1v1 clutch win
26%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust28052%1.1216.9
Inferno7258%1.3116.8
Nuke6058%1.4018.0
Ancient4055%1.3316.9
Anubis3050%1.0816.4
Cache1136%1.1117.6
Mirage1060%1.0619.0
Overpass967%1.6118.4

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.

17.4%Headshot accuracy
32.8%Accuracy (enemy spotted)
36.2%Spray accuracy
68.7%Counter-strafing
10.2°Preaim
562msReaction time
45.7%T opening success
40.5%CT opening success
0.69Enemies flashed / flash
12.1%Flash assists
14.28HE damage / grenade
13.26Flashes / match

Recommended for you

Spend your practice time on Cache

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust215–19-0.0316%8 Nov →
inferno13–60.0319%8 Nov →
cache10–130.0318%8 Nov →
anubis13–110.0710%8 Nov →
dust210–13-0.0529%5 Nov →
nuke6–13-0.0121%5 Nov →
nuke11–13-0.0217%5 Nov →
mirage6–13-0.0015%30 Oct →
dust28–13-0.0238%30 Oct →
nuke13–11-0.0412%30 Oct →
anubis9–13-0.0218%30 Oct →
inferno16–140.0217%24 Oct →
nuke11–13-0.0315%24 Oct →
ancient2–13-0.0324%24 Oct →
anubis8–13-0.0015%17 Oct →
dust213–110.0519%17 Oct →
dust29–13-0.0310%17 Oct →
inferno13–110.0816%17 Oct →
dust213–11-0.0215%17 Oct →
inferno13–90.029%11 Oct →
cache6–13-0.0233%11 Oct →
nuke11–130.0419%11 Oct →
anubis2–13-0.0610%11 Oct →
inferno16–130.0119%11 Oct →
cache5–13-0.0311%8 Oct →
dust213–60.0213%8 Oct →
inferno13–20.1315%8 Oct →
dust213–8-0.0122%8 Oct →
nuke13–8-0.0013%6 Oct →
dust24–13-0.0117%6 Oct →
inferno13–50.0221%6 Oct →
cache6–13-0.029%6 Oct →
nuke13–110.0419%6 Oct →
nuke13–10-0.0117%5 Oct →
nuke15–190.0116%5 Oct →
dust213–6-0.040%5 Oct →
dust215–15-0.0116%4 Oct →
inferno13–50.0218%4 Oct →
inferno13–6-0.0225%4 Oct →
dust212–00.0620%4 Oct →
dust215–19-0.0415%4 Oct →
inferno7–13-0.0220%2 Oct →
dust213–7-0.0117%2 Oct →
dust213–70.0523%2 Oct →
nuke6–130.0418%2 Oct →
cache11–13-0.0116%2 Oct →
anubis8–130.0024%2 Oct →
inferno13–50.0317%2 Oct →
nuke13–11-0.0323%30 Sept →
inferno7–13-0.0114%30 Sept →
dust213–90.0618%30 Sept →
dust213–70.0812%30 Sept →
inferno13–50.0217%30 Sept →
dust28–13-0.0715%30 Sept →
nuke6–13-0.0431%28 Sept →
inferno7–13-0.0319%28 Sept →
nuke13–90.0821%28 Sept →
anubis8–13-0.079%28 Sept →
nuke10–130.0723%28 Sept →
mirage4–13-0.0017%24 Sept →
nuke13–10-0.0414%24 Sept →
inferno9–130.0521%24 Sept →
inferno10–130.0316%24 Sept →
nuke6–130.0431%23 Sept →
ancient4–13-0.0118%23 Sept →
inferno7–13-0.0116%20 Sept →
inferno13–7-0.019%20 Sept →
anubis13–100.0217%20 Sept →
dust213–90.0222%20 Sept →
nuke13–40.0230%18 Sept →
anubis13–8-0.0214%18 Sept →
inferno12–160.0418%17 Sept →
dust216–12-0.0310%17 Sept →
nuke13–8-0.0431%16 Sept →
ancient13–30.0521%9 Sept →
dust213–6-0.0114%5 Sept →
dust216–190.0028%22 Aug →
ancient5–13-0.058%22 Aug →
dust213–60.0221%22 Aug →
inferno13–10-0.0013%22 Aug →
dust213–90.0416%22 Aug →
nuke9–13-0.0812%21 Aug →
ancient14–160.0315%21 Aug →
dust213–100.0521%21 Aug →
nuke9–130.0524%21 Aug →
inferno13–70.0416%21 Aug →
inferno9–130.016%21 Aug →
inferno8–130.079%18 Aug →
dust213–90.0212%18 Aug →
dust213–80.0121%18 Aug →
nuke11–13-0.0414%9 Aug →
inferno13–40.0312%9 Aug →
dust213–80.0510%9 Aug →
inferno11–130.0416%9 Aug →
anubis9–130.0214%9 Aug →
dust211–130.0622%9 Aug →
inferno15–15-0.0119%8 Aug →
nuke13–60.0218%8 Aug →
dust214–160.0324%8 Aug →
ancient16–140.0112%8 Aug →

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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