Hydr00

Hydr00 — CS2 Stats

76561198984721090[U:1:1024455362]Steam profile ↗✓ No bans

1,610Tracked matches47%Win rate2020Tracked since
3,377Hours in CS18Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (51 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,560 → 1,560
+13Tracked matches · now 1,610
+6.7ppWin rate · 40.0% → 46.7%

Rating over time

Premier CS Rating: 17,349 +2,349 7 Dec – 21 May · 7 days played
15,00017,349peak 17,3497 Dec21 May
17,349Peak Premier in tracked matches
1,560Highest Faceit ELO seen on CSDB
52Days played since 2025-10-25

Faceit ELO

  • At peak — 1,560
  • Next: Level 9 at 1,751 — 191 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-06
  • Level 7 first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches20——
Win rate55%——
K/D1.39——
Headshot %59%——

Measured 23 Sep 2026 → 27 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.

Share this profile

CSDB.GGHydr00PEAK ELO1,560csdb.gg/stats

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Performance scores

Aim87
Positioning67
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY46–53–1Last 10046%Win rateWWWLWLWLLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +1.4pp headshot accuracy · +83ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 661ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 612ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 570ms

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 (+1.5 against its own average).

Aim8.7
Utility4.5
Positioning6.7
Opening Duels5.7
Clutch4.0

Sharp aimerLimited 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

donk

Plays most like donk 93% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

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

Reaction time. 603ms 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

Aim8.7
Positioning6.7
Utility4.5
Mechanics8.0
Opening Duels5.8
Win Impact3.9

Composite 6.5/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time608ms−38ms
first ⅓ avg 646ms → last ⅓ avg 608ms
Headshot accuracy19.0%−1.9%
first ⅓ avg 20.9% → last ⅓ avg 19.0%

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

0.17Best match rating · 13–2 · anubis, 17 Nov →
36%Best headshot accuracy · 11–13 · nuke, 17 Nov →
453msFastest reaction time · 13–2 · nuke, 23 Oct →
13–0Biggest win · nuke, 22 Jan →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
8–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 64% over 11cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB209–1145%0.02
anubisB178–947%0.02
overpassC146–843%-0.01
ancientA117–464%0.01
mirageD103–730%-0.00
dust2C73–443%0.03
cacheD51–420%-0.01
infernoA53–260%0.02
vertigo—32–167%0.01
train—21–150%-0.02
poseidon—11–0100%0.08
eldorado—10–10%-0.25
debris—11–0100%0.10
sanctum—10–10%0.10
rooftop—10–10%-0.08
palacio—11–0100%-0.03

Across the last 100 tracked matches.

Lifetime stats

112,079Lifetime kills
1.01K/D · Top 50% of tracked players
4,548Matches
40.9%Match win rate
49.5%Headshot % · Top 25% of tracked players
18.9%Shot accuracy · Top 10% of tracked players
10,789MVPs
2,323Hours (in match)
3,190Bombs planted
1,049Bombs defused

Most-used weapons

AK-4751,706
AWP7,139
MAC-102,059
MP91,814
FAMAS1,593

Lifetime map wins

8,491nuke
7,847inferno
4,696vertigo
2,302dust2
1,811train
177office
55lake
50cbble

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

Faceit stats

Combat

707Matches
51%Win rate
1.13Avg K/D
84.1ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient8346%1.1118.5
Nuke6767%1.2518.3
Inferno3030%1.0215.7
Overpass2945%1.0417.9
Anubis2846%1.0115.1
Vertigo2560%1.1820.4
Mirage2442%1.0419.2
Train1369%1.1519.7

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.

18.2%Headshot accuracy
42.7%Accuracy (enemy spotted)
43.5%Spray accuracy
86.0%Counter-strafing
8.8°Preaim
603msReaction time
54.1%T opening success
52.4%CT opening success
0.53Enemies flashed / flash
8.1%Flash assists
8.67HE damage / grenade
3.15Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.1519 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis16–12-0.0413%25 Oct →
mirage13–10.0431%24 Oct →
poseidon9–50.0820%24 Oct →
eldorado1–9-0.2533%24 Oct →
debris9–50.1018%24 Oct →
mirage9–13-0.0215%24 Oct →
cache13–80.0220%24 Oct →
dust28–130.0418%24 Oct →
anubis10–13-0.027%24 Oct →
anubis13–50.0617%23 Oct →
mirage9–13-0.0412%23 Oct →
cache10–130.1120%23 Oct →
nuke13–20.1229%23 Oct →
ancient16–120.0318%30 Aug →
ancient13–100.0116%30 Aug →
nuke8–13-0.0417%30 Aug →
anubis7–130.0117%27 Aug →
nuke8–13-0.0517%27 Aug →
ancient13–7-0.0216%23 Aug →
cache6–13-0.0518%13 Aug →
ancient13–110.0625%13 Aug →
mirage11–130.0325%16 Jul →
anubis5–13-0.0311%5 Jul →
mirage2–13-0.0918%3 Jul →
nuke13–30.0426%3 Jul →
vertigo13–30.0417%3 Jul →
mirage5–13-0.0218%19 Jun →
nuke16–130.0617%1 Jun →
nuke5–130.0119%21 May →
mirage5–130.0125%21 May →
overpass7–13-0.0210%7 May →
anubis13–100.0423%7 May →
overpass13–80.0119%5 May →
vertigo13–110.0016%4 May →
cache10–13-0.0617%4 May →
dust26–13-0.0130%3 May →
nuke8–13-0.0134%2 May →
anubis13–90.0012%30 Apr →
cache2–13-0.069%30 Apr →
anubis9–130.049%30 Apr →
nuke9–130.0225%26 Apr →
anubis6–13-0.0215%26 Apr →
dust213–110.0522%26 Apr →
sanctum8–80.1019%24 Apr →
inferno13–90.0524%15 Apr →
overpass13–20.0515%12 Apr →
nuke13–60.0720%12 Apr →
overpass5–13-0.048%12 Apr →
mirage10–13-0.0330%2 Apr →
dust213–50.0224%29 Mar →
anubis13–70.0312%22 Mar →
anubis0–13-0.0418%21 Mar →
dust26–130.0115%19 Mar →
dust23–13-0.0224%19 Mar →
dust213–50.1025%19 Mar →
ancient6–13-0.0611%15 Mar →
overpass13–11-0.0417%8 Mar →
inferno13–9-0.0122%8 Mar →
nuke13–7-0.0511%8 Mar →
anubis4–13-0.0315%6 Mar →
nuke13–80.0116%6 Mar →
nuke11–130.0218%5 Mar →
nuke11–130.0217%1 Mar →
anubis6–13-0.048%26 Feb →
nuke13–11-0.0131%26 Feb →
nuke3–13-0.0120%22 Feb →
overpass13–10-0.0623%8 Feb →
overpass4–13-0.0424%5 Feb →
overpass11–13-0.0930%5 Feb →
ancient6–13-0.0322%5 Feb →
overpass6–130.0127%1 Feb →
anubis5–13-0.0017%29 Jan →
overpass4–13-0.0918%29 Jan →
anubis13–50.1215%29 Jan →
ancient13–80.0719%25 Jan →
nuke13–00.1225%22 Jan →
anubis13–100.0221%22 Jan →
inferno13–110.0226%11 Jan →
overpass13–50.0725%11 Jan →
nuke9–13-0.0125%11 Jan →
overpass10–13-0.0115%28 Dec →
mirage13–110.1023%21 Dec →
ancient4–130.0825%21 Dec →
train13–8-0.0114%11 Dec →
nuke11–130.0413%7 Dec →
ancient13–80.0012%7 Dec →
nuke13–80.0128%30 Nov →
overpass3–90.0123%23 Nov →
nuke11–130.0336%17 Nov →
inferno5–130.0223%17 Nov →
train2–13-0.0417%17 Nov →
anubis13–20.1720%17 Nov →
vertigo9–13-0.0018%17 Nov →
inferno9–130.0130%30 Oct →
ancient13–90.0315%30 Oct →
mirage13–90.0014%30 Oct →
ancient9–13-0.0224%26 Oct →
rooftop2–9-0.0812%26 Oct →
palacio13–11-0.0318%26 Oct →
overpass13–90.0317%25 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 →

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