Waterlemin — CS2 Stats

76561198330242352[U:1:369976624]

479Tracked matches48%Win rate2023Tracked since

893Hours in CS16Hrs last 2 wks

CSDB Rating4.0 DevelopingPassive Rifler

Premier CS Rating13,197Blue band · top ~38% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim62

Positioning39

Utility10

0–100 skill scores via Leetify.

Recent form

COLD53–42–5Last 10053%Win rateWLLLLLLWTW

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.2

Aggression2.2

Utility1.0

Positioning3.9

Opening Duels0.0

Limited 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.

Your pro match

Plays most like NiKo 70% 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

Areas to improve

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

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

Aim6.2

Positioning3.9

Utility1.0

Mechanics6.2

Opening Duels0.2

Win Impact4.4

Composite 4.0/10 (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-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time521ms−53ms

first ⅓ avg 574ms → last ⅓ avg 521ms

Headshot accuracy11.7%−0.7%

first ⅓ avg 12.3% → last ⅓ avg 11.7%

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

0.19Best rating — nuke 5–0

13–1Biggest win — dust2

7Longest win streak

6–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 69% over 35ancientWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	35	24–11	69%	-0.00
mirage	B	25	12–13	48%	-0.02
inferno	C	10	4–6	40%	-0.01
nuke	A	9	5–4	56%	-0.00
cache	S	9	6–3	67%	0.01
ancient	D	7	1–6	14%	-0.01
anubis	—	4	1–3	25%	-0.02
train	—	1	0–1	0%	-0.03

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

23,359Lifetime kills

0.76K/D

1,471Matches

26.5%Match win rate

31.1%Headshot %

8.1%Shot accuracy

1,086MVPs

919Hours (in match)

836Bombs planted

97Bombs defused

Most-used weapons

AWP6,990

AK-474,424

M4A4 / M4A1-S2,069

MP71,847

AUG833

SG 553757

Desert Eagle700

P2000 / USP-S681

Glock-18527

P90488

Lifetime map wins

2,397dust2

790inferno

647nuke

156train

156vertigo

32office

19italy

18cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.0%Headshot accuracy

33.8%Accuracy (enemy spotted)

34.8%Spray accuracy

77.8%Counter-strafing

10.0°Preaim

520msReaction time

21.2%T opening success

31.4%CT opening success

0.16Enemies flashed / flash

0.8%Flash assists

8.06HE damage / grenade

0.43Flashes / 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 10.9588% — below the 15% mark we flag
Aim Training →
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 0.1563 — below the 0.5 mark we flag
Grenade Lineups →
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 21.1761% — below the 40% mark we flag

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

Map	Score	Rating	HS%	Date
dust2	13–2	0.03	11%	27 Aug →
nuke	10–13	-0.08	18%	25 Aug →
mirage	11–13	0.03	13%	25 Aug →
mirage	3–13	0.04	17%	25 Aug →
cache	12–16	-0.05	7%	23 Aug →
dust2	4–13	-0.01	17%	23 Aug →
dust2	6–13	-0.09	0%	23 Aug →
dust2	13–10	0.02	7%	21 Aug →
inferno	12–12	-0.01	0%	20 Aug →
dust2	13–7	0.03	7%	20 Aug →
ancient	11–13	-0.02	6%	20 Aug →
inferno	6–13	-0.06	6%	20 Aug →
mirage	13–8	0.01	11%	20 Aug →
mirage	4–13	-0.04	11%	20 Aug →
dust2	4–13	-0.12	7%	18 Aug →
mirage	16–13	-0.00	16%	18 Aug →
dust2	13–11	0.01	9%	17 Aug →
nuke	13–6	-0.03	15%	17 Aug →
ancient	4–13	-0.03	43%	17 Aug →
cache	13–7	0.00	13%	16 Aug →
dust2	11–13	-0.03	8%	10 Aug →
cache	13–7	0.09	12%	10 Aug →
dust2	13–8	-0.01	4%	6 Aug →
inferno	13–8	0.01	16%	4 Aug →
inferno	7–13	-0.07	7%	4 Aug →
nuke	13–3	0.06	15%	4 Aug →
dust2	13–6	-0.06	6%	4 Aug →
cache	9–13	-0.01	15%	4 Aug →
ancient	6–13	-0.08	13%	3 Aug →
dust2	13–4	0.01	7%	3 Aug →
cache	13–3	-0.02	14%	3 Aug →
anubis	15–15	-0.05	18%	2 Aug →
mirage	13–10	-0.08	16%	2 Aug →
mirage	13–10	-0.08	8%	2 Aug →
nuke	7–13	-0.05	14%	2 Aug →
mirage	12–16	0.00	10%	28 Jul →
dust2	13–16	-0.02	13%	28 Jul →
dust2	13–6	-0.06	9%	27 Jul →
dust2	13–6	-0.01	13%	27 Jul →
dust2	13–10	0.01	18%	27 Jul →
mirage	16–12	-0.04	10%	27 Jul →
mirage	13–6	0.03	4%	26 Jul →
ancient	7–13	-0.05	5%	26 Jul →
mirage	13–8	-0.02	12%	26 Jul →
mirage	13–7	-0.07	12%	26 Jul →
mirage	11–13	-0.05	16%	26 Jul →
dust2	13–9	-0.05	15%	26 Jul →
ancient	13–16	0.01	12%	26 Jul →
mirage	12–16	-0.07	8%	23 Jul →
dust2	13–11	0.04	12%	23 Jul →
mirage	11–13	-0.02	10%	23 Jul →
dust2	13–7	-0.02	8%	23 Jul →
dust2	13–5	0.00	16%	23 Jul →
mirage	13–6	-0.05	9%	23 Jul →
dust2	13–1	0.04	13%	23 Jul →
dust2	13–11	-0.02	12%	22 Jul →
cache	13–7	0.02	12%	22 Jul →
ancient	13–5	0.04	2%	22 Jul →
dust2	10–13	0.03	16%	22 Jul →
dust2	7–13	0.07	10%	22 Jul →
dust2	13–6	0.02	11%	22 Jul →
dust2	13–7	-0.00	7%	19 Jul →
nuke	6–13	-0.01	6%	19 Jul →
inferno	6–13	0.02	8%	19 Jul →
ancient	15–15	0.07	12%	19 Jul →
cache	13–10	0.05	19%	18 Jul →
cache	11–13	0.01	7%	18 Jul →
anubis	6–13	0.04	9%	18 Jul →
inferno	16–14	-0.02	5%	18 Jul →
mirage	13–7	-0.03	15%	18 Jul →
mirage	4–13	-0.03	11%	18 Jul →
anubis	13–11	-0.02	5%	18 Jul →
mirage	9–13	-0.00	6%	17 Jul →
dust2	15–15	-0.03	12%	17 Jul →
inferno	10–13	0.06	8%	17 Jul →
nuke	2–13	-0.10	2%	17 Jul →
inferno	13–10	0.01	10%	17 Jul →
anubis	15–15	-0.05	10%	17 Jul →
dust2	11–13	0.02	12%	17 Jul →
dust2	13–6	0.04	18%	17 Jul →
dust2	13–8	-0.00	16%	17 Jul →
mirage	8–13	0.05	18%	17 Jul →
nuke	13–11	0.00	16%	17 Jul →
dust2	10–13	0.13	10%	16 Jul →
nuke	13–5	0.00	13%	16 Jul →
mirage	13–6	-0.03	18%	16 Jul →
mirage	11–13	-0.03	13%	16 Jul →
dust2	13–4	0.00	23%	15 Jul →
dust2	2–13	-0.04	6%	15 Jul →
mirage	10–13	-0.01	11%	14 Jul →
dust2	13–7	0.01	19%	14 Jul →
inferno	11–13	-0.01	8%	12 Jul →
nuke	5–0	0.19	23%	12 Jul →
mirage	13–6	-0.00	14%	12 Jul →
dust2	13–8	-0.01	26%	2 Jul →
mirage	11–13	-0.05	8%	2 Jul →
train	4–13	-0.03	16%	2 Jul →
inferno	13–3	0.00	4%	1 Jul →
dust2	13–2	-0.03	16%	1 Jul →
cache	13–4	0.01	10%	30 Jun →