Valdemar

Valdemar — CS2 Stats

DK76561198312802632[U:1:352536904]Steam profile ↗✓ No bans

787Tracked matches55%Win rate2020Tracked since
1,863Hours in CS
CSDB Rating5.2 DevelopingSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 41 days played since 9 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 24,392 +7,107 9 Apr31 May · 14 days played
17,28524,392peak 24,3929 Apr31 May
24,524Peak Premier in tracked matches
41Days played since 2026-04-09

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=12,790), 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 5 medianLevel 6 medianvs Level 6
Headshot rate42.5%43.8%44.8%2.3% short
Shot accuracy17.8%12.0%12.5%above
Kill/death ratio1.201.021.04above
Match win rate48.4%44.7%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGValdemarFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning34
Utility59

0–100 skill scores via Leetify.

Recent form

HOT63334Last 10063%Win rateWWWWWWLLLW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · +9.7pp headshot accuracy · −55ms reaction

Win rate up 30pp 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

  • 50 · 100% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 31%
  • Avg reaction 634ms

Last 10

  • 73 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 550ms

Last 20

  • 1181 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 578ms

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: SupportUtility contribution stands above the rest of this profile (+3.5 against its own average).

Aim6.9
Utility5.9
Positioning3.4
Opening Duels0.3
Clutch0.0

Strong CT-side openerEffective 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

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 40% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 608ms 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

Aim6.9
Positioning3.4
Utility5.9
Mechanics5.4
Opening Duels1.3
Win Impact6.7

Composite 5.2/10 (Developing), 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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time598ms−43ms
first ⅓ avg 641ms → last ⅓ avg 598ms
Headshot accuracy22.0%+4.5%
first ⅓ avg 17.6% → last ⅓ avg 22.0%

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

0.20Best match rating · 13–0 · inferno, 20 Apr
64%Best headshot accuracy · 13–1 · dust2, 29 May
375msFastest reaction time · 1–5 · dust2, 23 Apr
13–0Biggest win · office, 2 Sept

Across the last 100 tracked matches.

Highlights

14Longest win streak
W6Current streak
94In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 100% over 8infernoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A37221559%-0.01
cacheS2617965%-0.01
mirageA1811761%-0.02
nukeS880100%-0.02
infernoC52340%0.01
office31233%-0.00
overpass110100%0.07
anubis110100%0.08
vertigo1010%-0.17

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

110,930Lifetime kills
1.20K/D · Top 25% of Level 5 players
4,298Matches
48.4%Match win rate · Top 25% of Level 5 players
42.5%Headshot %
17.8%Shot accuracy · Top 25% of Level 5 players
18,066MVPs
1,863Hours (in match)
2,766Bombs planted
1,339Bombs defused

Most-used weapons

AK-4734,603
AWP10,704
MP95,130
SSG 082,938
UMP-452,231
MAC-101,239

Lifetime map wins

2,378dust2
2,203nuke
1,832inferno
1,110vertigo
781train
456lake
437office
215cbble

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

Faceit stats

Combat

26Matches
42%Win rate
1.02Avg K/D
89.0ADR
46%Headshot %

Clutches & streaks

20%1v1 clutch win
11%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust230%0.6911.0
Mirage367%1.4720.3
Ancient1100%1.5021.0
Nuke10%1.1820.0

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.

21.2%Headshot accuracy
31.4%Accuracy (enemy spotted)
38.6%Spray accuracy
74.1%Counter-strafing
8.1°Preaim
608msReaction time
17.5%T opening success
40.3%CT opening success
0.76Enemies flashed / flash
6.6%Flash assists
13.76HE damage / grenade
11.48Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 17.4909% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–1-0.0543%2 Sept
dust213–5-0.0324%2 Sept
office13–00.0442%2 Sept
mirage4–1-0.0833%2 Sept
overpass13–110.0712%2 Sept
cache13–9-0.0314%30 Aug
dust22–11-0.050%11 Aug
dust25–130.0233%2 Aug
office10–13-0.0435%1 Aug
mirage16–13-0.0113%30 Jul
dust210–13-0.0216%30 Jul
dust213–9-0.0621%30 Jul
cache15–150.0410%30 Jul
inferno8–13-0.0214%30 Jul
nuke13–40.0226%30 Jul
dust27–13-0.0613%28 Jul
inferno13–6-0.0215%27 Jul
nuke13–11-0.0310%27 Jul
mirage6–130.058%27 Jul
mirage8–130.0217%26 Jul
cache13–8-0.017%26 Jul
mirage13–20.0527%26 Jul
dust213–11-0.0126%18 Jul
dust26–130.0333%12 Jul
inferno3–130.0129%25 Jun
dust22–130.0034%25 Jun
dust213–20.1014%22 Jun
cache9–130.0124%22 Jun
mirage8–13-0.0338%21 Jun
mirage13–20.0532%15 Jun
dust211–13-0.0015%15 Jun
cache11–13-0.0715%15 Jun
office9–13-0.0032%14 Jun
dust213–11-0.1016%13 Jun
dust212–12-0.0125%9 Jun
cache13–100.0317%9 Jun
cache12–12-0.0416%5 Jun
cache3–13-0.0429%1 Jun
dust23–13-0.0646%31 May
dust213–4-0.0615%31 May
mirage11–13-0.0425%31 May
mirage7–13-0.065%30 May
nuke1–1-0.180%30 May
cache4–13-0.0321%30 May
cache13–20.0225%29 May
mirage16–14-0.0710%29 May
nuke13–00.000%29 May
dust213–10.0064%29 May
mirage13–10-0.0111%27 May
cache13–8-0.049%27 May
dust213–50.0112%26 May
dust24–13-0.0221%26 May
cache11–130.0124%20 May
cache13–40.0725%19 May
cache13–50.0924%19 May
cache13–50.0322%19 May
dust26–13-0.0011%14 May
cache13–5-0.057%5 May
dust213–40.0727%5 May
mirage13–30.0123%5 May
mirage6–13-0.067%5 May
dust216–140.0224%4 May
cache1–8-0.128%3 May
cache6–13-0.0213%3 May
cache13–2-0.0117%30 Apr
cache13–40.0617%30 Apr
cache13–4-0.0432%30 Apr
cache13–8-0.0121%30 Apr
cache13–40.0427%29 Apr
cache13–8-0.0214%29 Apr
mirage13–9-0.0021%29 Apr
cache13–6-0.0122%29 Apr
cache13–70.0222%29 Apr
mirage13–50.0114%28 Apr
dust212–10.0717%28 Apr
dust213–5-0.0126%28 Apr
dust213–11-0.009%26 Apr
nuke13–8-0.0519%26 Apr
dust210–13-0.097%26 Apr
dust215–15-0.0622%24 Apr
dust21–5-0.040%23 Apr
dust213–1-0.040%23 Apr
mirage1–13-0.0514%23 Apr
dust24–13-0.0133%23 Apr
dust22–00.000%23 Apr
mirage13–7-0.0215%23 Apr
nuke13–60.1025%22 Apr
dust213–80.0623%22 Apr
inferno3–9-0.1022%20 Apr
dust213–4-0.0115%20 Apr
dust213–40.0010%20 Apr
inferno13–00.2030%20 Apr
nuke13–5-0.0117%20 Apr
dust213–30.0131%20 Apr
anubis13–30.0813%20 Apr
vertigo1–9-0.1714%19 Apr
dust213–5-0.0115%9 Apr
dust213–30.0619%9 Apr
dust213–80.0628%9 Apr
nuke13–80.0114%9 Apr

Match data via Leetify.

Recent teammates

Milestones

500 Matches14-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →