Valkerie

Valkerie — CS2 Stats

76561198124474990[U:1:164209262]Steam profile ↗✓ No bans

833Tracked matches56%Win rate2020Tracked since
CSDB Rating5.6 SolidSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 68 days played since 7 May 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 10,878 -4,121 7 May4 Jul · 8 days played
10,87816,201peak 16,2017 May4 Jul
16,201Peak Premier in tracked matches
68Days played since 2025-05-07

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

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CSDB.GGValkerieFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning46
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY414811Last 10041%Win rateLWLLLLWWWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −0.2pp headshot accuracy · −88ms 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

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 610ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 587ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 631ms

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 against its own average).

Aim6.5
Utility5.6
Positioning4.6
Opening Duels0.3
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

Twistzz

Plays most like Twistzz 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 654ms 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

Aim6.5
Positioning4.6
Utility5.6
Mechanics8.0
Opening Duels0.1
Win Impact6.9

Composite 5.6/10 (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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time652ms−31ms
first ⅓ avg 682ms → last ⅓ avg 652ms
Headshot accuracy19.0%+2.5%
first ⅓ avg 16.5% → last ⅓ avg 19.0%

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

0.11Best match rating · 13–5 · mirage, 20 Mar
80%Best headshot accuracy · 4–1 · dust2, 20 Mar
453msFastest reaction time · 3–13 · mirage, 11 Jun
13–1Biggest win · dust2, 18 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
24In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 50% over 6infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB31141745%-0.00
dust2C25101540%0.00
ancientB115645%-0.01
cacheC94544%-0.01
infernoD92722%-0.04
nukeB63350%0.03
vertigo32167%-0.03
overpass3030%-0.05
train21150%-0.04
anubis1010%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

359Matches
46%Win rate
0.82Avg K/D
77.3ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
9%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage862%1.0816.1
Inferno2100%2.1216.5
Dust220%0.283.5
Vertigo250%1.8823.5
Ancient1100%4.6714.0
Nuke10%1.4423.0

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.

17.7%Headshot accuracy
33.7%Accuracy (enemy spotted)
34.4%Spray accuracy
86.1%Counter-strafing
9.7°Preaim
654msReaction time
30.8%T opening success
30.0%CT opening success
0.62Enemies flashed / flash
7.1%Flash assists
6.36HE damage / grenade
13.23Flashes / 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 30.8348% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0614%6 Sept
mirage13–70.0625%6 Sept
dust210–130.0114%31 Aug
mirage3–13-0.0915%31 Aug
mirage8–13-0.0214%20 Aug
ancient4–13-0.0417%20 Aug
dust213–50.0219%19 Aug
dust213–10.0732%18 Aug
vertigo13–110.0110%17 Aug
nuke6–130.0214%9 Aug
ancient13–30.0129%29 Jul
dust213–8-0.0219%28 Jul
nuke13–11-0.0117%27 Jul
mirage13–8-0.0225%20 Jul
cache12–120.0014%15 Jul
dust22–8-0.025%13 Jul
cache13–100.0618%12 Jul
overpass4–13-0.057%7 Jul
inferno6–13-0.0814%7 Jul
dust22–13-0.0027%4 Jul
mirage13–8-0.0322%3 Jul
dust212–120.0029%30 Jun
dust28–130.0018%21 Jun
mirage16–120.0515%2 Jun
cache13–4-0.0322%9 May
dust213–50.0332%9 May
cache7–1-0.0017%9 May
cache12–120.0013%9 May
cache13–7-0.066%1 May
cache9–13-0.0111%28 Apr
cache4–13-0.0345%28 Apr
inferno9–13-0.0513%19 Apr
train5–5-0.0733%19 Apr
vertigo13–4-0.0221%29 Mar
anubis3–13-0.0528%29 Mar
ancient13–8-0.0410%27 Mar
dust213–90.0622%26 Mar
ancient9–13-0.0426%22 Mar
dust27–13-0.0217%22 Mar
ancient13–80.0618%20 Mar
mirage13–50.1120%20 Mar
dust24–10.0380%20 Mar
dust216–130.0120%19 Mar
nuke6–130.0017%14 Mar
mirage0–13-0.068%3 Mar
ancient14–16-0.0319%2 Mar
mirage2–13-0.0121%2 Mar
nuke16–130.0926%22 Feb
ancient6–13-0.0311%19 Feb
ancient13–100.0323%16 Feb
dust29–13-0.0226%16 Feb
ancient13–90.0711%14 Feb
dust213–10-0.048%14 Feb
mirage9–130.0019%13 Feb
mirage15–15-0.0112%3 Feb
inferno8–13-0.0219%1 Feb
mirage13–70.0412%22 Jan
inferno13–90.0024%20 Nov
dust210–130.0014%15 Nov
mirage12–120.0019%14 Nov
ancient6–13-0.0739%31 Oct
mirage4–13-0.0926%31 Oct
mirage4–6-0.0315%30 Oct
mirage13–60.1124%22 Sept
dust212–120.0323%15 Sept
mirage9–13-0.0215%14 Sept
dust212–12-0.0225%14 Sept
mirage11–13-0.1012%8 Sept
mirage13–6-0.0327%3 Sept
mirage13–9-0.0616%3 Sept
mirage3–130.0112%24 Aug
dust25–130.0126%24 Aug
mirage0–11-0.0635%21 Aug
dust23–13-0.0522%21 Aug
mirage13–100.0118%16 Aug
overpass5–13-0.0814%12 Aug
ancient10–13-0.0115%10 Jul
mirage3–13-0.068%10 Jul
mirage13–30.0418%30 Jun
dust213–20.0418%28 Jun
dust24–13-0.0514%27 Jun
inferno13–7-0.0417%27 Jun
nuke13–100.0919%27 Jun
dust213–9-0.0116%20 Jun
inferno12–12-0.0413%18 Jun
inferno10–13-0.0415%18 Jun
mirage13–30.0714%18 Jun
mirage3–130.009%11 Jun
dust28–13-0.0310%11 Jun
train13–7-0.0214%5 Jun
inferno9–13-0.0613%5 Jun
dust28–13-0.037%25 May
mirage13–70.0515%21 May
overpass12–12-0.0213%17 May
mirage12–12-0.0110%16 May
inferno8–13-0.0114%16 May
nuke12–12-0.039%7 May
vertigo6–13-0.0832%7 May
mirage10–130.0322%7 May
mirage6–20.0627%7 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →