Sadwater — CS2 Stats

76561198438310479[U:1:478044751]

1,143Tracked matches54%Win rate2023Tracked since
584Hours in CS
CSDB Rating4.3 Developing
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 rate34.1%42.5%44.2%10.1% short
Shot accuracy1.4%10.9%11.2%9.8% short
Kill/death ratio0.990.991.040.04 short
Match win rate47.6%44.2%45.3%above

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGSadwaterFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim35
Positioning56
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY50437Last 10050%Win rateLWLWLWWWLL

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

Player DNA

Aim3.5
Aggression6.2
Utility2.7
Positioning5.6
Opening Duels3.0
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.

Your pro match

Twistzz

Plays most like Twistzz 77% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

T-side openings. Opening success drops from 52% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 639ms 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

Aim3.5
Positioning5.6
Utility2.7
Mechanics5.4
Opening Duels3.0
Win Impact6.2

Composite 4.3/10 (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 rating0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg 0.00
Reaction time643ms+14ms
first ⅓ avg 628ms → last ⅓ avg 643ms
Headshot accuracy11.3%−1.3%
first ⅓ avg 12.6% → last ⅓ avg 11.3%

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

0.13Best rating — mirage 4–10
131Biggest win — dust2
9Longest win streak
65In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 67% over 6nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B26141254%-0.01
mirageA2112957%-0.02
infernoB189950%-0.01
nukeD93633%-0.04
cacheB63350%0.01
vertigoS64267%0.01
overpass41325%-0.04
anubis32167%-0.03
train3030%-0.01
ancient2020%-0.02
warden110100%-0.03
office110100%0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,405Lifetime kills
0.99K/D
1,687Matches
47.6%Match win rate · Top 25% of Level 4 players
34.1%Headshot %
1.4%Shot accuracy
3,881MVPs
584Hours (in match)
1,492Bombs planted
330Bombs defused

Most-used weapons

Lifetime map wins

4,059dust2
2,003inferno
1,671nuke
1,177train
962vertigo
253office
146italy
12lake

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

Faceit stats

Combat

5Matches
40%Win rate
0.51Avg K/D
49.8ADR
29%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
1Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.528.5
Ancient1100%0.8113.0
Inferno1100%0.386.0
Dust210%0.335.0

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.

11.1%Headshot accuracy
29.2%Accuracy (enemy spotted)
30.3%Spray accuracy
74.5%Counter-strafing
10.6°Preaim
639msReaction time
32.5%T opening success
51.6%CT opening success
0.43Enemies flashed / flash
2.3%Flash assists
7.86HE damage / grenade
2.18Flashes / 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 11.0786% — below the 15% mark we flag

    Aim Training
  2. 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 0.4347 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 32.5474% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0215%9 Jun
dust213–80.0716%9 Jun
cache9–13-0.016%9 Jun
cache13–60.039%8 Jun
cache10–130.0411%12 May
cache13–100.0216%12 May
mirage13–9-0.0413%8 May
cache13–5-0.0310%7 May
inferno9–130.0411%21 Mar
mirage4–13-0.0113%21 Mar
dust213–9-0.0315%18 Mar
dust22–13-0.130%18 Mar
vertigo12–120.0115%18 Mar
vertigo13–60.049%17 Mar
dust213–11-0.018%17 Mar
dust211–13-0.0616%17 Mar
inferno13–30.014%16 Mar
anubis13–100.0111%12 Mar
mirage13–2-0.0112%12 Mar
nuke12–12-0.049%11 Mar
nuke4–13-0.0116%11 Mar
vertigo9–130.028%11 Mar
mirage3–13-0.053%9 Mar
mirage13–70.028%9 Mar
mirage4–100.1318%8 Mar
inferno7–130.136%8 Mar
mirage13–70.035%8 Mar
dust213–70.0218%8 Mar
inferno13–80.066%8 Mar
dust29–13-0.0419%4 Mar
train8–13-0.0219%23 Feb
vertigo13–2-0.0217%23 Feb
overpass2–13-0.0212%22 Feb
warden10–1-0.033%22 Feb
ancient8–13-0.047%22 Feb
dust27–130.0114%22 Feb
dust213–6-0.0312%21 Feb
nuke13–5-0.036%20 Feb
train12–12-0.025%15 Feb
office13–80.0612%14 Feb
dust213–10.089%14 Feb
mirage7–13-0.019%14 Feb
dust211–130.0716%13 Feb
dust20–13-0.0514%12 Feb
mirage0–13-0.0725%11 Feb
anubis13–10-0.0214%11 Feb
dust211–13-0.015%10 Feb
ancient8–130.0110%9 Feb
dust26–130.0014%9 Feb
inferno13–5-0.047%8 Feb
dust213–50.0117%8 Feb
mirage13–8-0.075%8 Feb
inferno13–7-0.0319%8 Feb
mirage11–13-0.069%8 Feb
mirage13–7-0.037%8 Feb
inferno15–15-0.0318%8 Feb
dust29–13-0.0020%8 Feb
overpass13–6-0.018%8 Feb
vertigo13–80.0114%8 Feb
mirage13–11-0.0220%8 Feb
dust213–40.0637%8 Feb
nuke13–110.0220%8 Feb
inferno5–13-0.0813%8 Feb
mirage13–9-0.0717%8 Feb
dust212–0-0.058%8 Feb
vertigo13–110.003%6 Feb
nuke13–1-0.016%6 Feb
inferno13–11-0.0314%6 Feb
inferno13–90.0510%6 Feb
mirage13–80.0712%6 Feb
dust213–90.0410%6 Feb
inferno13–11-0.0223%4 Feb
mirage11–13-0.0420%4 Feb
dust213–20.0119%4 Feb
mirage7–13-0.0426%4 Feb
inferno1–13-0.0710%4 Feb
inferno1–13-0.117%4 Feb
dust29–13-0.0113%4 Feb
nuke5–13-0.0921%3 Feb
mirage13–8-0.027%3 Feb
overpass10–13-0.089%3 Feb
anubis10–13-0.075%2 Feb
dust213–10-0.0411%2 Feb
nuke6–13-0.0715%2 Feb
overpass9–13-0.035%2 Feb
dust26–13-0.058%2 Feb
mirage13–4-0.003%2 Feb
dust213–10-0.077%2 Feb
inferno7–13-0.0724%2 Feb
inferno13–80.0112%2 Feb
dust213–9-0.0210%2 Feb
inferno6–13-0.1020%1 Feb
mirage13–7-0.059%1 Feb
nuke4–13-0.062%1 Feb
mirage15–15-0.0113%1 Feb
nuke15–15-0.0311%1 Feb
inferno7–130.018%1 Feb
inferno13–80.0216%1 Feb
dust24–13-0.0326%31 Jan
train12–120.019%31 Jan

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 →