Dr.Hydroplane — CS2 Stats

76561198211338723[U:1:251072995]✓ No bans

456Tracked matches48%Win rate2023Tracked since

1,669Hours in CS28Hrs last 2 wks

CSDB Rating4.9 Developing

Premier CS Rating16,043Purple band · top ~24.2% of ranked players (population est.)

CSDB Leaderboard#11004 of 17960 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

16,043Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 16,043
Next: Pink band at 20,000 — 3,957 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim58

Positioning36

Utility64

0–100 skill scores via Leetify.

Recent form

COLD49–45–6Last 10049%Win rateLWLLLLLLLW

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

Aim5.8

Aggression3.3

Utility6.4

Positioning3.6

Opening Duels0.0

Clutch3.6

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

Plays most like NiKo 81% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 572ms 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

Aim5.8

Positioning3.6

Utility6.4

Mechanics6.7

Opening Duels0.0

Win Impact4.4

Composite 4.9/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time582ms−37ms

first ⅓ avg 620ms → last ⅓ avg 582ms

Headshot accuracy14.2%+0.7%

first ⅓ avg 13.5% → last ⅓ avg 14.2%

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

0.12Best rating — dust2 11–13

13–1Biggest win — mirage

5Longest win streak

10–8In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 60% over 5cacheWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	10–11	48%	0.01
dust2	A	19	11–8	58%	0.02
inferno	A	16	9–7	56%	0.00
ancient	A	14	8–6	57%	0.02
nuke	C	11	4–7	36%	0.01
cache	D	9	2–7	22%	0.01
anubis	A	5	3–2	60%	0.05
overpass	C	5	2–3	40%	0.01

Across the last 100 tracked matches.

Lifetime stats

33,206Lifetime kills

0.92K/D

1,638Matches

40.8%Match win rate

28.0%Headshot %

16.1%Shot accuracy · Top 25% of tracked players

2,693MVPs

734Hours (in match)

1,925Bombs planted

368Bombs defused

Most-used weapons

AK-477,293

AWP5,399

M4A4 / M4A1-S4,515

Glock-183,839

P2000 / USP-S2,327

Desert Eagle1,419

P250978

Knife947

P90816

Tec-9672

Lifetime map wins

3,439inferno

2,960dust2

706nuke

658vertigo

307cbble

260office

188train

50lake

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

Faceit stats

Combat

106Matches

47%Win rate

1.08Avg K/D

53.0ADR

35%Headshot %

Clutches & streaks

38%1v1 clutch win

0%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	6	67%	0.47	10.0
Dust2	3	0%	0.44	7.7
Mirage	2	50%	0.91	15.0
Inferno	2	0%	0.46	7.0
Nuke	2	50%	0.78	15.0

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.

13.9%Headshot accuracy

31.6%Accuracy (enemy spotted)

29.3%Spray accuracy

80.0%Counter-strafing

9.2°Preaim

572msReaction time

28.1%T opening success

27.8%CT opening success

0.70Enemies flashed / flash

11.2%Flash assists

16.14HE damage / grenade

8.92Flashes / 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.

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 13.9382% — below the 15% mark we flag
Aim Training →
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 28.0833% — below the 40% mark we flag

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	9–13	-0.04	9%	27 Aug →
inferno	13–6	0.11	16%	25 Aug →
ancient	5–13	-0.03	10%	22 Aug →
dust2	9–13	-0.01	23%	22 Aug →
inferno	11–13	-0.06	8%	21 Aug →
ancient	1–13	-0.06	24%	20 Aug →
dust2	10–13	-0.03	11%	20 Aug →
cache	11–13	0.02	13%	20 Aug →
cache	8–13	0.01	11%	20 Aug →
dust2	13–8	0.07	20%	20 Aug →
mirage	10–13	-0.07	9%	13 Aug →
dust2	13–11	0.03	12%	13 Aug →
dust2	15–15	-0.06	7%	12 Aug →
ancient	6–13	-0.04	0%	10 Aug →
ancient	13–9	0.07	20%	9 Aug →
mirage	13–1	0.05	19%	9 Aug →
mirage	13–10	-0.00	14%	8 Aug →
cache	5–13	-0.01	16%	6 Aug →
mirage	10–13	0.08	13%	6 Aug →
inferno	13–8	-0.04	9%	5 Aug →
inferno	13–7	-0.02	25%	5 Aug →
dust2	13–8	0.05	7%	4 Aug →
ancient	13–7	0.05	17%	4 Aug →
dust2	4–13	0.02	13%	1 Aug →
dust2	13–9	-0.02	14%	1 Aug →
dust2	11–13	0.12	25%	20 Jul →
inferno	13–10	0.05	21%	20 Jul →
dust2	13–8	-0.00	9%	20 Jul →
anubis	10–13	0.11	12%	18 Jul →
dust2	16–12	-0.01	17%	18 Jul →
dust2	13–6	0.01	15%	18 Jul →
mirage	5–13	-0.03	13%	17 Jul →
ancient	15–15	0.11	16%	16 Jul →
dust2	13–3	-0.02	15%	16 Jul →
dust2	13–11	0.01	15%	14 Jul →
mirage	13–3	0.01	24%	14 Jul →
anubis	13–6	0.11	24%	13 Jul →
mirage	13–16	-0.00	21%	13 Jul →
ancient	13–5	0.10	12%	13 Jul →
ancient	13–4	0.07	11%	12 Jul →
inferno	13–7	0.00	17%	12 Jul →
mirage	13–3	0.07	25%	12 Jul →
anubis	13–7	0.09	16%	11 Jul →
cache	10–13	0.12	22%	11 Jul →
cache	8–13	-0.03	12%	11 Jul →
cache	13–10	0.05	10%	11 Jul →
cache	9–13	0.03	18%	11 Jul →
nuke	15–15	0.05	13%	10 Jul →
dust2	13–11	0.08	20%	10 Jul →
mirage	13–7	-0.02	9%	9 Jul →
cache	13–9	-0.05	17%	9 Jul →
mirage	10–13	-0.06	2%	29 Jun →
inferno	13–8	0.05	24%	29 Jun →
ancient	2–0	0.01	0%	28 Jun →
nuke	4–0	-0.01	7%	28 Jun →
anubis	4–13	-0.07	6%	28 Jun →
inferno	8–13	-0.00	15%	28 Jun →
inferno	13–6	0.00	29%	28 Jun →
dust2	13–16	-0.03	15%	27 Jun →
ancient	10–13	-0.01	14%	27 Jun →
nuke	13–9	0.07	17%	27 Jun →
overpass	11–13	0.02	11%	27 Jun →
inferno	2–13	-0.03	21%	27 Jun →
anubis	13–10	0.01	9%	27 Jun →
dust2	11–13	0.07	7%	25 Jun →
nuke	8–13	-0.05	15%	25 Jun →
ancient	13–11	-0.02	12%	25 Jun →
mirage	3–13	0.00	20%	24 Jun →
inferno	4–13	-0.05	16%	24 Jun →
overpass	6–13	0.01	16%	24 Jun →
nuke	10–13	-0.09	24%	24 Jun →
mirage	15–15	-0.02	13%	23 Jun →
nuke	10–13	0.08	6%	23 Jun →
dust2	6–13	-0.06	12%	23 Jun →
mirage	13–11	0.05	19%	22 Jun →
inferno	13–11	-0.03	11%	22 Jun →
mirage	13–9	0.04	6%	22 Jun →
mirage	9–13	-0.06	13%	22 Jun →
overpass	13–3	0.08	10%	22 Jun →
ancient	13–9	0.05	5%	21 Jun →
overpass	11–13	-0.06	10%	21 Jun →
dust2	13–4	0.09	23%	21 Jun →
nuke	12–16	-0.03	14%	21 Jun →
ancient	14–16	0.01	19%	21 Jun →
nuke	4–13	0.05	17%	21 Jun →
nuke	13–1	0.06	7%	21 Jun →
ancient	16–14	0.03	7%	20 Jun →
nuke	9–13	-0.04	3%	20 Jun →
inferno	13–5	0.06	14%	20 Jun →
mirage	11–13	0.04	13%	20 Jun →
overpass	13–10	-0.02	12%	19 Jun →
inferno	15–15	-0.04	23%	18 Jun →
mirage	13–11	0.02	21%	18 Jun →
inferno	9–13	-0.04	15%	17 Jun →
nuke	13–6	0.03	16%	17 Jun →
mirage	13–7	0.11	14%	17 Jun →
inferno	15–15	0.08	11%	17 Jun →
mirage	10–13	0.01	13%	17 Jun →
mirage	8–13	-0.02	13%	16 Jun →
mirage	13–11	-0.04	12%	16 Jun →