[PN] Waldi c---(..Q)

[PN] Waldi c---(..Q) — CS2 Stats

DE76561197963348769[U:1:3083041]Steam profile ↗✓ No bans

1,298Tracked matches57%Win rate2020Tracked since
4,814Hours in CS45Hrs last 2 wks
CSDB Rating5.4 DevelopingAll-Rounder
Premier CS Rating10,417Blue band · top ~52.7% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). 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: 10,417 +3,475 21 Aug – 30 Oct · 35 days played
6,94210,880peak 10,88021 Aug30 Oct
11,238Peak Premier in tracked matches
37Days played since 2026-08-12

Premier CS Rating

  • 463 below peak (10,880)
  • +1,087 over 30 days · improving
  • Next: Purple band at 15,000 — 4,583 to go
  • Reached: Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate37.6%42.0%44.4%6.8% short
Shot accuracy14.1%9.6%11.9%above
Kill/death ratio0.990.981.030.04 short
Match win rate44.7%43.8%45.2%meets

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GG[PN] Waldi c---(..Q)PREMIER10,417 · Blue bandcsdb.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

Aim45
Positioning64
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateWLWLWWLLWL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −1.6pp headshot accuracy · −7ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 694ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 674ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 678ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim4.5
Utility6.0
Positioning6.4
Opening Duels4.7
Clutch6.6

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 65% 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 674ms 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

Aim4.5
Positioning6.4
Utility6.0
Mechanics5.4
Opening Duels6.6
Win Impact7.2

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time667ms−4ms
first ⅓ avg 671ms → last ⅓ avg 667ms
Headshot accuracy13.4%−0.7%
first ⅓ avg 14.1% → last ⅓ avg 13.4%

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 · 13–5 · inferno, 1 Sept →
26%Best headshot accuracy · 3–13 · nuke, 24 Aug →
453msFastest reaction time · 7–13 · ancient, 29 Aug →
13–1Biggest win · nuke, 22 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
15–11In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 60% over 10infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B2010–1050%-0.02
ancientA1911–858%0.01
cacheB178–947%-0.03
nukeC146–843%-0.02
infernoC135–838%-0.01
anubisA106–460%-0.00
mirageA74–357%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,153Lifetime kills
0.99K/D · Top 50% of Blue band
5,189Matches
44.7%Match win rate · Top 50% of Blue band
37.6%Headshot %
14.1%Shot accuracy · Top 50% of Blue band
13,556MVPs
2,299Hours (in match)
4,396Bombs planted
1,081Bombs defused

Most-used weapons

AK-4726,183
AWP16,528
FAMAS5,576
SSG 081,377
MP71,180

Lifetime map wins

25,852dust2
7,160nuke
6,815inferno
1,386train
841vertigo
389cbble
362lake
216office

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

Faceit stats

Combat

75Matches
51%Win rate
0.98Avg K/D
83.3ADR
42%Headshot %

Clutches & streaks

53%1v1 clutch win
15%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1553%0.9713.3
Dust21346%0.9614.8
Nuke1233%1.1517.7
Ancient1267%1.0115.6
Inferno944%0.9213.8
Anubis650%0.9314.7
Cache2100%0.8012.5
Overpass1100%1.0015.0

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.

13.6%Headshot accuracy
35.8%Accuracy (enemy spotted)
34.7%Spray accuracy
74.1%Counter-strafing
11.7°Preaim
674msReaction time
62.0%T opening success
51.2%CT opening success
0.62Enemies flashed / flash
6.6%Flash assists
15.25HE damage / grenade
5.26Flashes / 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 13.5576% — below the 15% mark we flag

    Aim Training →
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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–9-0.1215%30 Oct →
dust211–130.037%30 Oct →
anubis13–70.0210%30 Oct →
cache8–13-0.019%30 Oct →
nuke13–7-0.0415%30 Oct →
dust213–10-0.0415%30 Oct →
dust23–13-0.1010%30 Oct →
inferno6–13-0.037%27 Oct →
cache13–10-0.0417%26 Oct →
nuke2–13-0.0310%26 Oct →
ancient13–30.0411%26 Oct →
ancient5–13-0.0711%26 Oct →
ancient9–13-0.026%25 Oct →
mirage13–50.126%25 Oct →
dust213–3-0.0214%25 Oct →
ancient9–13-0.0514%24 Oct →
dust213–110.0116%24 Oct →
nuke13–5-0.0111%24 Oct →
cache10–13-0.0618%24 Oct →
mirage13–80.0424%23 Oct →
cache13–7-0.0115%23 Oct →
nuke14–16-0.0523%23 Oct →
ancient9–130.018%22 Oct →
ancient13–110.0313%19 Oct →
dust213–4-0.0124%19 Oct →
mirage13–50.0116%19 Oct →
inferno4–13-0.0417%19 Oct →
mirage8–13-0.028%19 Oct →
ancient13–30.0215%19 Oct →
cache13–70.0518%18 Oct →
inferno8–13-0.067%18 Oct →
ancient13–110.0217%18 Oct →
dust213–70.0217%18 Oct →
dust213–80.0114%18 Oct →
inferno13–90.0316%18 Oct →
cache13–90.0010%18 Oct →
dust29–13-0.0420%17 Oct →
ancient10–130.0214%17 Oct →
nuke13–11-0.035%17 Oct →
inferno11–13-0.0224%17 Oct →
ancient13–110.0910%17 Oct →
cache13–110.0113%16 Oct →
anubis11–130.0614%16 Oct →
dust213–90.059%16 Oct →
nuke11–13-0.0216%14 Oct →
dust25–13-0.0713%14 Oct →
inferno9–13-0.0217%14 Oct →
mirage13–3-0.0112%14 Oct →
inferno11–130.0616%24 Sept →
mirage8–130.0710%24 Sept →
inferno8–13-0.0222%24 Sept →
cache6–13-0.0512%23 Sept →
anubis16–14-0.1014%22 Sept →
nuke8–13-0.0615%22 Sept →
nuke13–10.0020%22 Sept →
cache16–14-0.048%21 Sept →
ancient9–50.0516%19 Sept →
dust210–130.0017%19 Sept →
cache11–13-0.0710%18 Sept →
anubis7–13-0.0111%18 Sept →
inferno13–100.0318%17 Sept →
cache8–13-0.0913%14 Sept →
nuke9–130.0521%10 Sept →
inferno13–10-0.0315%10 Sept →
dust213–5-0.0612%10 Sept →
ancient13–110.0017%9 Sept →
anubis11–13-0.027%8 Sept →
nuke13–11-0.039%8 Sept →
dust213–80.0422%8 Sept →
cache1–130.0026%6 Sept →
dust21–13-0.088%6 Sept →
cache13–6-0.0519%4 Sept →
nuke13–3-0.019%2 Sept →
dust23–13-0.1019%2 Sept →
nuke13–16-0.018%1 Sept →
dust25–13-0.0610%1 Sept →
inferno13–50.1524%1 Sept →
nuke14–16-0.0214%31 Aug →
dust26–130.0113%31 Aug →
cache15–15-0.0312%30 Aug →
dust213–50.0415%30 Aug →
cache11–13-0.0214%30 Aug →
ancient7–13-0.030%29 Aug →
anubis7–13-0.049%29 Aug →
cache6–13-0.0110%29 Aug →
ancient13–110.0414%28 Aug →
ancient13–9-0.0419%27 Aug →
ancient10–130.0010%26 Aug →
anubis13–90.0320%25 Aug →
ancient13–110.0521%25 Aug →
anubis13–100.0214%25 Aug →
mirage5–13-0.0515%25 Aug →
anubis13–11-0.0017%25 Aug →
nuke3–130.0026%24 Aug →
ancient10–13-0.0118%21 Aug →
inferno11–13-0.098%21 Aug →
dust210–13-0.059%12 Aug →
anubis13–110.039%12 Aug →
ancient13–11-0.0114%12 Aug →
inferno13–4-0.0514%12 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.