Waldo

Waldo — CS2 Stats

FI76561197986131749[U:1:25866021]Steam profile ↗✓ No bans

1,498Tracked matches57%Win rate2020Tracked since
CSDB Rating4.7 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 1,498
−3.3ppWin rate · 60.0% → 56.7%
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. 50 days played since 11 Aug 2023. Come back after the next session and the change shows above.

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Rating over time

50Days played since 2023-08-11

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim52
Positioning41
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY5842Last 10058%Win rateWLWLWLLWLW

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · −2.2pp headshot accuracy · −48ms 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

  • 32 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 600ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 517ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 541ms

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 (+1.8 against its own average).

Aim5.2
Utility4.7
Positioning4.1
Opening Duels0.8
Clutch2.2

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 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower 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

Areas to improve

Reaction time. 601ms 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

Aim5.2
Positioning4.1
Utility4.7
Mechanics5.4
Opening Duels0.5
Win Impact7.2

Composite 4.7/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time585ms−27ms
first ⅓ avg 612ms → last ⅓ avg 585ms
Headshot accuracy19.5%+3.8%
first ⅓ avg 15.7% → last ⅓ avg 19.5%

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

0.10Best match rating · 13–2 · anubis, 15 Sept
47%Best headshot accuracy · 13–8 · dust2, 22 Jan
375msFastest reaction time · 8–16 · nuke, 23 Aug
16–2Biggest win · nuke, 17 Aug

Across the last 100 tracked matches.

Highlights

8Longest win streak
137In matches decided by ≤2 rounds
54Overtime games

Map breakdown

ancientBest map · 88% over 8dust2Weakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
nukeA27151256%-0.02
anubisA22121055%-0.02
infernoA1911858%-0.03
dust2C94544%-0.03
mirageB84450%-0.01
ancientS87188%-0.02
train43175%-0.01
cache32167%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,940Matches
50%Win rate
0.86Avg K/D
59.1ADR
44%Headshot %

Clutches & streaks

31%1v1 clutch win
17%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke9160%0.8211.8
Dust26945%0.7711.7
Anubis6754%0.9213.1
Inferno5951%0.7511.1
Mirage4333%0.6510.0
Train3364%0.8512.1
Ancient2741%0.7711.8
Overpass786%0.8614.3

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.

20.5%Headshot accuracy
28.6%Accuracy (enemy spotted)
32.0%Spray accuracy
74.2%Counter-strafing
10.4°Preaim
601msReaction time
30.5%T opening success
33.7%CT opening success
0.67Enemies flashed / flash
7.1%Flash assists
4.89HE damage / grenade
5.10Flashes / 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 30.48% — below the 40% mark we flag

Spend your practice time on Dust 2

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 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–20.1028%15 Sept
nuke6–13-0.0233%12 Sept
anubis13–60.0211%12 Sept
mirage13–16-0.0227%12 Sept
cache13–70.0420%12 Sept
inferno2–13-0.0717%30 Aug
anubis5–13-0.0421%23 Aug
mirage16–120.0218%23 Aug
cache8–130.000%23 Jul
nuke13–6-0.0117%23 Jul
dust213–8-0.0023%23 Jul
nuke13–100.0324%2 Jun
inferno13–9-0.0812%29 Apr
nuke10–13-0.0619%29 Apr
anubis13–11-0.0822%7 Mar
nuke10–13-0.0622%7 Mar
dust27–13-0.0813%2 Mar
dust211–13-0.0318%24 Feb
inferno13–11-0.0414%24 Feb
dust213–8-0.0047%22 Jan
mirage9–13-0.058%2 Jan
nuke9–13-0.0512%29 Dec
mirage13–10-0.0120%27 Dec
ancient13–9-0.0026%27 Dec
train13–00.018%22 Dec
anubis1–13-0.0425%20 Dec
nuke13–8-0.0214%19 Dec
dust213–60.0431%19 Dec
dust211–13-0.0427%14 Dec
nuke13–40.0512%14 Dec
nuke13–110.0216%13 Dec
inferno13–11-0.0218%13 Dec
anubis11–13-0.0219%12 Dec
mirage13–80.0816%10 Dec
train13–11-0.0421%7 Dec
anubis13–6-0.0411%7 Dec
dust23–13-0.0518%6 Dec
anubis13–4-0.0021%23 Nov
anubis8–13-0.0322%22 Nov
train10–13-0.0618%20 Nov
ancient13–10-0.0114%20 Oct
anubis13–5-0.0711%20 Oct
inferno13–10-0.0224%19 Sept
anubis16–130.0421%19 Sept
nuke4–13-0.0511%13 Sept
inferno16–130.0216%13 Aug
anubis8–13-0.0724%12 Aug
dust29–13-0.0914%7 Aug
ancient4–13-0.0117%27 Oct
ancient19–17-0.0441%3 Oct
anubis7–13-0.0229%2 Oct
nuke16–6-0.0112%30 Aug
anubis16–6-0.0110%30 Aug
anubis16–80.0610%27 Aug
mirage4–15-0.0917%24 Aug
inferno8–16-0.0119%24 Aug
nuke11–16-0.0215%24 Aug
anubis7–16-0.0416%24 Aug
mirage14–16-0.0214%23 Aug
anubis16–11-0.0413%23 Aug
inferno16–9-0.0113%23 Aug
ancient16–14-0.0615%23 Aug
inferno11–16-0.0319%23 Aug
nuke8–16-0.0218%23 Aug
mirage16–11-0.0310%23 Aug
nuke16–14-0.0614%23 Aug
inferno16–80.0915%23 Aug
nuke16–14-0.0115%23 Aug
inferno16–11-0.0216%22 Aug
anubis9–16-0.053%21 Aug
anubis8–16-0.048%20 Aug
nuke16–13-0.0121%20 Aug
inferno16–14-0.047%20 Aug
nuke16–13-0.0210%20 Aug
ancient16–11-0.0217%20 Aug
inferno16–11-0.0416%20 Aug
anubis22–20-0.064%19 Aug
ancient16–110.0120%19 Aug
nuke16–40.0629%19 Aug
inferno14–16-0.039%19 Aug
nuke16–80.0115%19 Aug
inferno11–160.019%18 Aug
nuke10–16-0.0413%18 Aug
inferno17–19-0.0324%17 Aug
ancient16–12-0.0113%17 Aug
nuke16–2-0.0217%17 Aug
inferno9–16-0.1132%17 Aug
nuke3–16-0.1025%16 Aug
nuke5–16-0.1014%16 Aug
inferno11–16-0.0417%15 Aug
nuke20–22-0.0513%15 Aug
cache16–14-0.0116%14 Aug
train16–140.0316%14 Aug
nuke9–16-0.0738%14 Aug
nuke16–70.045%14 Aug
anubis16–12-0.0319%14 Aug
inferno16–12-0.0211%12 Aug
anubis12–16-0.0216%11 Aug
nuke19–16-0.038%11 Aug
dust216–10-0.0022%11 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 →