waterman expert ii

waterman expert ii — CS2 Stats

US76561198260737000[U:1:300471272]Steam profile ↗✓ No bans

1,182Tracked matches47%Win rate2021Tracked since
1,875Hours in CS4Hrs last 2 wks
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating13,558Blue band · top ~36% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (20 days ago). 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: 13,558 +5,931 24 Jun – 23 Sept · 6 days played
7,62713,817peak 13,81724 Jun23 Sept
13,817Peak Premier in tracked matches
56Days played since 2026-06-17

Premier CS Rating

  • 259 below peak (13,817)
  • +5,931 over 90 days
  • Next: Purple band at 15,000 — 1,442 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-02
  • Light Blue band first seen 2026-09-02

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches13——
Win rate54%——
K/D0.90——
Headshot %48%——

Measured 10 Sep 2026 → 13 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,998), 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 4 medianLevel 5 medianvs Level 5
Headshot rate45.4%42.7%43.7%above
Shot accuracy9.8%11.3%12.0%2.3% short
Kill/death ratio0.770.991.020.25 short
Match win rate44.4%43.9%44.7%meets

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGwaterman expert iiFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,558 · 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

Aim65
Positioning47
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLWWLWWLLWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −2.8pp headshot accuracy · −19ms 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 -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 631ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 696ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 705ms

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: Positional Player — Positioning stands above the rest of this profile (+2.7 against its own average).

Aim6.5
Utility2.1
Positioning4.7
Opening Duels1.1
Clutch0.0

Strong CT-side openerLimited utility dependence

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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 43% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 677ms 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
Positioning4.7
Utility2.1
Mechanics6.4
Opening Duels1.6
Win Impact3.9

Composite 4.5/10 (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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time669ms+2ms
first ⅓ avg 667ms → last ⅓ avg 669ms
Headshot accuracy24.8%+1.9%
first ⅓ avg 22.9% → last ⅓ avg 24.8%

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 · 13–9 · ancient, 28 Jul →
57%Best headshot accuracy · 13–3 · office, 4 Sept →
453msFastest reaction time · 6–13 · office, 3 Oct →
13–1Biggest win · cache, 25 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
13–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 73% over 11vertigoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
nukeC166–1038%-0.01
vertigoD144–1029%-0.02
infernoC125–742%-0.01
cacheS118–373%-0.00
dust2A117–464%-0.00
ancientS107–370%-0.01
mirageA95–456%-0.01
officeC52–340%-0.01
train—42–250%-0.07
anubis—31–233%-0.04
shelter—21–150%-0.03
italy—10–10%-0.08
fachwerk—10–10%-0.02
alpine—11–0100%-0.02

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,424Lifetime kills
0.77K/D
2,192Matches
44.4%Match win rate · Top 50% of Level 4 players
45.4%Headshot % · Top 50% of Level 4 players
9.8%Shot accuracy
3,627MVPs
904Hours (in match)
1,618Bombs planted
265Bombs defused

Most-used weapons

Lifetime map wins

2,906vertigo
2,544office
2,342dust2
1,993nuke
1,502inferno
517train
275assault
254lake

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

Faceit stats

Combat

10Matches
50%Win rate
0.65Avg K/D
52.7ADR
46%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno3100%0.6614.0
Dust210%0.6111.0
Mirage1100%0.6513.0

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.

24.7%Headshot accuracy
32.7%Accuracy (enemy spotted)
35.5%Spray accuracy
78.8%Counter-strafing
10.0°Preaim
677msReaction time
25.2%T opening success
43.0%CT opening success
0.35Enemies flashed / flash
4.7%Flash assists
5.03HE damage / grenade
2.84Flashes / 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 0.3504 — 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 25.1613% — below the 40% mark we flag

Spend your practice time on Vertigo

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0229%11 Oct →
cache13–100.0117%11 Oct →
ancient13–11-0.0129%11 Oct →
office6–13-0.0628%3 Oct →
dust213–50.0530%3 Oct →
dust213–60.0915%24 Sept →
nuke14–16-0.0340%23 Sept →
vertigo8–13-0.0211%17 Sept →
cache16–13-0.0223%13 Sept →
mirage4–130.0011%11 Sept →
nuke13–40.0336%8 Sept →
mirage8–130.0219%6 Sept →
italy4–13-0.0810%5 Sept →
nuke5–13-0.0320%4 Sept →
office13–3-0.0057%4 Sept →
cache13–4-0.0210%4 Sept →
mirage13–30.0327%4 Sept →
inferno14–16-0.0125%2 Sept →
ancient13–11-0.0219%2 Sept →
dust213–60.0336%2 Sept →
dust25–13-0.0315%2 Sept →
vertigo11–13-0.0113%31 Aug →
train4–13-0.1130%29 Aug →
nuke11–13-0.0231%26 Aug →
vertigo13–11-0.0327%25 Aug →
nuke13–70.0532%25 Aug →
nuke13–110.0630%23 Aug →
office1–13-0.0627%23 Aug →
vertigo9–13-0.0124%19 Aug →
inferno5–13-0.0319%17 Aug →
mirage13–11-0.0614%16 Aug →
ancient16–120.0131%16 Aug →
inferno15–15-0.0336%12 Aug →
ancient13–110.0323%12 Aug →
cache13–8-0.0629%8 Aug →
train13–7-0.0618%8 Aug →
vertigo9–13-0.0331%7 Aug →
vertigo9–130.0514%6 Aug →
vertigo13–70.0223%5 Aug →
vertigo7–13-0.0429%4 Aug →
ancient6–13-0.0326%3 Aug →
dust29–13-0.0911%31 Jul →
anubis13–10-0.0819%28 Jul →
mirage13–10-0.0226%28 Jul →
dust213–50.0113%28 Jul →
anubis7–13-0.0519%28 Jul →
ancient13–90.1121%28 Jul →
nuke13–50.0227%28 Jul →
inferno13–9-0.0120%28 Jul →
vertigo13–8-0.0729%27 Jul →
inferno9–13-0.0513%27 Jul →
ancient5–130.0023%26 Jul →
shelter8–13-0.0132%26 Jul →
dust21–13-0.040%26 Jul →
anubis6–130.0140%25 Jul →
nuke16–140.0027%21 Jul →
mirage5–13-0.0021%20 Jul →
nuke4–13-0.0522%20 Jul →
nuke3–13-0.0911%20 Jul →
shelter13–6-0.0421%19 Jul →
fachwerk10–13-0.0212%19 Jul →
nuke15–15-0.0324%16 Jul →
nuke7–13-0.0224%15 Jul →
office13–80.1123%13 Jul →
dust213–110.0419%13 Jul →
cache13–60.0725%13 Jul →
nuke15–150.0322%13 Jul →
vertigo12–120.0119%11 Jul →
dust213–9-0.0416%11 Jul →
nuke13–90.0428%11 Jul →
mirage10–130.0529%10 Jul →
nuke12–12-0.0117%10 Jul →
inferno13–110.0323%9 Jul →
mirage13–5-0.0727%9 Jul →
ancient13–5-0.0621%8 Jul →
dust213–11-0.0524%8 Jul →
inferno13–70.0118%7 Jul →
train1–7-0.0322%6 Jul →
dust28–13-0.0223%2 Jul →
vertigo6–13-0.0852%1 Jul →
nuke10–13-0.0327%1 Jul →
inferno16–140.0320%30 Jun →
ancient13–11-0.0117%30 Jun →
vertigo13–11-0.0428%27 Jun →
cache5–13-0.0116%26 Jun →
vertigo4–13-0.0318%25 Jun →
cache13–10.0150%25 Jun →
inferno0–2-0.060%25 Jun →
ancient2–13-0.0728%25 Jun →
inferno3–13-0.0629%24 Jun →
cache13–5-0.0429%24 Jun →
office6–13-0.0417%24 Jun →
inferno8–130.0028%22 Jun →
mirage13–100.0116%21 Jun →
cache9–130.0127%20 Jun →
cache13–90.0214%20 Jun →
vertigo8–13-0.0129%20 Jun →
inferno13–50.0613%20 Jun →
train13–7-0.0718%19 Jun →
alpine13–8-0.0215%17 Jun →

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 →

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