hydra

hydra — CS2 Stats

US76561198447567157[U:1:487301429]Steam profile ↗✓ No bans

2,017Tracked matches39%Win rate2021Tracked since
2,602Hours in CS2Hrs last 2 wks
CSDB Rating6.3 SolidClutch Specialist
Premier CS Rating18,390Purple band · top ~14.9% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (6 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: 18,390 -204 30 Aug – 8 Oct · 22 days played
16,64319,572peak 19,57230 Aug8 Oct
19,685Peak Premier in tracked matches
32Days played since 2026-07-15

Premier CS Rating

  • 1,182 below peak (19,572)
  • -542 over 30 days · declining
  • Next: Pink band at 20,000 — 1,610 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate53.7%44.3%46.9%above
Shot accuracy12.7%11.9%13.0%0.3% short
Kill/death ratio1.231.031.08above
Match win rate50.9%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGhydraPREMIER18,390 · Purple bandcsdb.gg/stats

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Performance scores

Aim79
Positioning67
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY37–55–8Last 10037%Win rateLLWLLLWWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +0.8pp headshot accuracy · +16ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 562ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 569ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 561ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.8 against its own average).

Aim7.9
Utility4.2
Positioning6.7
Opening Duels5.8
Clutch8.0

Reliable in 1v1s

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 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

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. 557ms 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

Aim7.9
Positioning6.7
Utility4.2
Mechanics7.6
Opening Duels7.0
Win Impact1.4

Composite 6.3/10 (Solid), 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 rating0.02+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time554ms−57ms
first ⅓ avg 611ms → last ⅓ avg 554ms
Headshot accuracy22.3%−1.3%
first ⅓ avg 23.6% → last ⅓ avg 22.3%

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.

Personal bests

0.26Best match rating · 9–7 · nuke, 2 Sept →
50%Best headshot accuracy · 9–13 · mirage, 22 Jul →
438msFastest reaction time · 6–9 · inferno, 2 Sept →
13–4Biggest win · anubis, 4 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–11In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 80% over 5ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2D248–1633%-0.01
nukeC218–1338%0.02
mirageC197–1237%0.03
cacheB105–550%0.00
infernoB84–450%-0.01
ancientD71–614%-0.00
anubisS54–180%0.03
vertigo—30–30%0.06
overpass—10–10%0.01
office—10–10%0.16
shelter—10–10%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,077Lifetime kills
1.23K/D · Top 25% of Purple band
4,107Matches
50.9%Match win rate · Top 25% of Purple band
53.7%Headshot % · Top 25% of Purple band
12.7%Shot accuracy · Top 50% of Purple band
9,062MVPs
1,462Hours (in match)
2,637Bombs planted
568Bombs defused

Most-used weapons

AK-4726,745
AWP4,341
MP93,888
SSG 083,049
MAC-103,030
SCAR-202,356

Lifetime map wins

11,122nuke
3,751dust2
1,809inferno
807vertigo
517train
380office
30italy
30lake

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

Faceit stats

Combat

42Matches
71%Win rate
1.16Avg K/D
82.6ADR
54%Headshot %

Clutches & streaks

60%1v1 clutch win
27%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1479%1.3516.6
Dust2786%1.0317.1
Nuke771%1.4020.1
Anubis475%0.6912.5
Inferno333%0.8413.7
Train250%0.8312.5
Ancient1100%1.0716.0
Cache10%0.7911.0

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.

22.4%Headshot accuracy
36.2%Accuracy (enemy spotted)
39.4%Spray accuracy
84.2%Counter-strafing
11.6°Preaim
557msReaction time
60.2%T opening success
55.8%CT opening success
0.47Enemies flashed / flash
4.5%Flash assists
7.71HE damage / grenade
7.82Flashes / 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 0.4675 — below the 0.5 mark we flag

    Grenade Lineups →
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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0518%8 Oct →
nuke11–13-0.0415%4 Oct →
anubis13–40.0516%4 Oct →
dust211–130.0421%28 Sept →
ancient7–13-0.0014%28 Sept →
nuke7–130.1536%27 Sept →
cache16–140.0232%26 Sept →
cache13–70.0118%26 Sept →
anubis13–10-0.0317%25 Sept →
nuke5–13-0.0529%25 Sept →
overpass9–130.0125%25 Sept →
vertigo12–120.1025%25 Sept →
mirage13–50.0016%25 Sept →
cache13–70.0727%25 Sept →
nuke16–140.0520%25 Sept →
dust211–130.0520%25 Sept →
nuke13–90.0317%25 Sept →
cache6–13-0.0021%25 Sept →
inferno12–16-0.0315%24 Sept →
ancient13–90.0421%24 Sept →
anubis9–13-0.0327%24 Sept →
inferno13–80.0920%24 Sept →
ancient6–130.0328%24 Sept →
dust28–13-0.0214%24 Sept →
dust24–13-0.0136%23 Sept →
mirage15–150.0126%23 Sept →
mirage13–4-0.0024%23 Sept →
cache5–130.0117%23 Sept →
dust24–130.0329%22 Sept →
mirage8–130.1433%22 Sept →
cache15–15-0.0217%21 Sept →
mirage10–130.0523%21 Sept →
nuke7–130.0621%21 Sept →
ancient8–130.0420%21 Sept →
cache13–11-0.0629%19 Sept →
ancient10–13-0.0120%17 Sept →
dust213–50.0124%17 Sept →
mirage11–130.0617%17 Sept →
dust211–13-0.0130%17 Sept →
mirage8–13-0.0125%14 Sept →
dust23–13-0.0827%14 Sept →
nuke7–130.0228%12 Sept →
anubis16–140.1021%12 Sept →
office1–130.1628%11 Sept →
vertigo6–130.1221%11 Sept →
anubis16–130.0514%11 Sept →
mirage13–10-0.0031%10 Sept →
dust24–13-0.0415%10 Sept →
mirage13–90.0223%10 Sept →
nuke13–100.0130%10 Sept →
dust22–13-0.0014%5 Sept →
inferno13–5-0.0319%5 Sept →
dust213–11-0.0215%4 Sept →
dust211–130.0129%3 Sept →
dust24–130.0013%3 Sept →
nuke13–100.0113%3 Sept →
nuke14–16-0.0233%2 Sept →
dust213–100.0825%2 Sept →
mirage13–100.0624%2 Sept →
nuke8–13-0.0518%2 Sept →
mirage13–7-0.0318%2 Sept →
dust213–6-0.0121%2 Sept →
inferno6–9-0.0721%2 Sept →
nuke9–70.2624%2 Sept →
nuke13–40.1324%1 Sept →
mirage15–150.0217%1 Sept →
nuke15–150.0017%1 Sept →
mirage12–16-0.0619%31 Aug →
nuke1–6-0.0715%31 Aug →
inferno5–13-0.0125%31 Aug →
cache8–13-0.0712%31 Aug →
ancient5–13-0.0410%31 Aug →
dust213–60.0026%31 Aug →
inferno14–16-0.0626%31 Aug →
dust211–13-0.0019%31 Aug →
mirage12–120.0230%30 Aug →
inferno13–50.0326%30 Aug →
cache16–130.0423%30 Aug →
nuke13–40.1239%30 Aug →
inferno13–40.0439%30 Aug →
nuke13–6-0.0519%15 Aug →
nuke5–130.0324%11 Aug →
dust27–13-0.0821%3 Aug →
dust22–13-0.0535%3 Aug →
dust213–90.0123%3 Aug →
mirage13–60.0822%3 Aug →
dust25–13-0.0617%3 Aug →
mirage8–130.0522%1 Aug →
mirage11–13-0.0147%22 Jul →
mirage9–130.0150%22 Jul →
dust26–13-0.0719%22 Jul →
nuke12–120.0427%22 Jul →
nuke15–19-0.1011%20 Jul →
mirage11–130.0716%17 Jul →
dust216–120.049%17 Jul →
nuke9–13-0.0118%16 Jul →
dust213–60.0528%16 Jul →
vertigo7–13-0.0522%16 Jul →
cache9–130.0120%15 Jul →
shelter12–12-0.0122%15 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.