Waldwicht — CS2 Stats

76561198232567324[U:1:272301596]

1,198Tracked matches60%Win rate2020Tracked since
CSDB Rating5.8 SolidHybrid Rifler
FaceitLevel 6 · 1,619 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGWaldwichtFACEITLevel 6 · 1,619 ELOSTANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning58
Utility61

0–100 skill scores via Leetify.

Recent form

HOT52471Last 10052%Win rateLLWWLWWWWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.7
Aggression7.6
Utility6.1
Positioning5.8
Opening Duels3.0
Clutch3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 92% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 605ms 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

Aim6.7
Positioning5.8
Utility6.1
Mechanics5.7
Opening Duels3.0
Win Impact8.3

Composite 5.8/10 (Solid), 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 -0.02 → last ⅓ avg -0.01
Reaction time612ms−44ms
first ⅓ avg 656ms → last ⅓ avg 612ms
Headshot accuracy20.2%−0.6%
first ⅓ avg 20.8% → last ⅓ avg 20.2%

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.

Highlights

0.10Best rating — inferno 13–3
130Biggest win — ancient
6Longest win streak
L2Current streak
99In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 67% over 6ancientWeakest map · 44% over 18
MapGradePlayedRecordWin rateAvg rating
dust2B24121250%-0.01
infernoA2214864%-0.00
ancientC1881044%-0.02
nukeB115645%-0.03
cacheS64267%-0.01
overpassB63350%-0.03
mirage4040%-0.07
anubis330100%0.02
train32167%-0.03
sanctum21150%-0.07
poseidon1010%-0.18

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,173Matches
51%Win rate
0.97Avg K/D
67.9ADR
43%Headshot %

Clutches & streaks

37%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno20255%0.8612.8
Dust216953%0.9313.6
Ancient12537%0.9214.1
Anubis6152%0.8914.0
Overpass6057%1.0613.4
Mirage5042%0.9513.0
Nuke4356%0.9113.8
Train3168%0.8812.1

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.

20.1%Headshot accuracy
32.7%Accuracy (enemy spotted)
37.6%Spray accuracy
75.8%Counter-strafing
9.4°Preaim
605msReaction time
38.3%T opening success
45.8%CT opening success
0.48Enemies flashed / flash
3.1%Flash assists
13.51HE damage / grenade
9.88Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4821 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 38.2635% — below the 40% mark we flag

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.

44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0321%28 Aug
dust213–160.0323%25 Aug
inferno13–30.0123%25 Aug
anubis13–90.0314%25 Aug
inferno11–13-0.0126%24 Aug
cache13–40.0323%20 Aug
anubis13–100.0618%19 Aug
inferno13–110.0422%18 Aug
ancient13–80.0120%17 Aug
inferno13–50.0418%17 Aug
ancient16–140.0020%15 Aug
dust211–130.0327%13 Aug
cache1–13-0.0833%12 Aug
inferno13–100.0219%11 Aug
ancient13–70.0110%11 Aug
cache9–130.0216%11 Aug
inferno13–11-0.0319%11 Aug
cache13–6-0.0126%11 Aug
inferno13–40.0123%11 Aug
inferno8–13-0.0816%11 Aug
ancient13–5-0.0329%11 Aug
dust28–13-0.0214%10 Aug
nuke8–13-0.0916%10 Aug
dust216–13-0.0424%7 Aug
inferno13–20.0315%5 Aug
ancient6–13-0.107%28 May
overpass13–11-0.0519%27 May
dust210–13-0.0839%25 May
dust24–13-0.0616%24 May
ancient25–22-0.0114%24 May
dust25–13-0.0619%24 May
dust213–70.0115%23 May
dust213–90.0422%20 May
cache13–80.0224%20 May
ancient13–16-0.0712%18 May
mirage4–13-0.0721%18 May
nuke4–13-0.0417%18 May
anubis13–11-0.0231%16 May
dust213–8-0.0231%12 May
sanctum9–30.0114%11 May
dust213–70.0530%8 May
sanctum3–9-0.1538%7 May
cache13–11-0.0314%7 May
poseidon3–9-0.1815%4 May
ancient7–130.0616%24 Apr
overpass9–13-0.0915%23 Apr
nuke13–9-0.0315%19 Jan
nuke13–7-0.0119%19 Jan
nuke10–130.0119%15 Jan
ancient13–5-0.0021%15 Jan
dust213–10-0.0117%10 Jan
nuke8–8-0.0319%9 Jan
ancient12–16-0.059%9 Jan
dust211–13-0.0335%8 Jan
dust213–70.0317%7 Jan
train7–13-0.0821%7 Jan
inferno13–8-0.0217%6 Jan
ancient8–13-0.0121%6 Jan
inferno13–110.0723%5 Jan
inferno13–90.0818%5 Jan
nuke13–4-0.0419%5 Jan
ancient10–13-0.0810%5 Jan
dust25–130.0624%4 Jan
mirage14–16-0.0321%3 Jan
ancient13–00.0426%3 Jan
dust211–13-0.0528%3 Jan
nuke6–13-0.0511%3 Jan
inferno9–130.0111%3 Jan
dust213–11-0.0615%3 Jan
overpass13–50.0219%28 Dec
overpass12–16-0.0520%17 Dec
dust213–20.0527%12 Dec
nuke16–130.0732%12 Dec
inferno10–13-0.0240%11 Dec
ancient13–16-0.0121%11 Dec
dust213–11-0.058%9 Dec
nuke10–13-0.0530%4 Dec
inferno13–7-0.0325%22 Nov
ancient10–13-0.0318%17 Nov
ancient11–130.0518%11 Nov
inferno14–16-0.0214%10 Nov
inferno13–6-0.0314%10 Nov
ancient5–13-0.070%9 Nov
nuke13–7-0.0312%9 Nov
dust213–80.0814%3 Nov
train13–2-0.0229%26 Oct
inferno11–13-0.0721%25 Oct
overpass15–19-0.0214%23 Oct
dust213–20.0219%23 Oct
mirage5–13-0.0643%7 Oct
ancient13–9-0.0124%7 Oct
mirage1–13-0.1020%7 Oct
dust210–13-0.0223%6 Oct
inferno13–30.1034%6 Oct
train13–90.0136%5 Oct
inferno13–10-0.0422%5 Oct
dust210–13-0.0417%5 Oct
inferno5–13-0.0219%3 Oct
inferno11–13-0.0511%2 Oct
overpass13–2-0.0114%2 Oct

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 →