♡Haven♡ — CS2 Stats

76561199048611625[U:1:1088345897]

1,856Tracked matches66%Win rate2020Tracked since

2,362Hours in CS10Hrs last 2 wks

CSDB Rating4.3 Developing

Premier CS Rating9,308Light Blue band · top ~58.2% of ranked players (population est.)

CSDB Leaderboard#11166 of 15078 tracked

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim39

Positioning58

Utility45

0–100 skill scores via Leetify.

Recent form

HOT46–50–4Last 10046%Win rateLWWWWLWWWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Aim3.9

Aggression6.8

Utility4.5

Positioning5.8

Opening Duels2.3

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 Twistzz 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Reaction time. 665ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9

Positioning5.8

Utility4.5

Mechanics3.5

Opening Duels2.3

Win Impact10.0

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time658ms−9ms

first ⅓ avg 667ms → last ⅓ avg 658ms

Headshot accuracy6.0%−0.4%

first ⅓ avg 6.4% → last ⅓ avg 6.0%

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.

Highlights

0.15Best rating — inferno 13–2

13–2Biggest win — nuke

4Longest win streak

7–5In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 61% over 18ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	18	11–7	61%	0.03
inferno	B	17	9–8	53%	0.03
mirage	B	15	8–7	53%	0.01
dust2	B	15	7–8	47%	0.02
cache	D	15	3–12	20%	0.02
anubis	A	11	6–5	55%	0.05
ancient	D	6	1–5	17%	0.02
train	—	2	1–1	50%	0.04
vertigo	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,094Lifetime kills

1.13K/D · Top 50% of tracked players

3,400Matches

41.9%Match win rate

24.0%Headshot %

11.8%Shot accuracy

5,511MVPs

1,262Hours (in match)

4,227Bombs planted

873Bombs defused

Most-used weapons

P908,917

SG 5538,021

M4A4 / M4A1-S6,419

MP76,255

AWP3,247

AK-473,197

AUG3,069

Galil AR1,743

P2501,686

Negev1,487

Lifetime map wins

3,797nuke

3,678inferno

3,646dust2

2,963vertigo

1,384office

842train

627italy

547cbble

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.

5.7%Headshot accuracy

37.6%Accuracy (enemy spotted)

47.9%Spray accuracy

65.9%Counter-strafing

12.8°Preaim

665msReaction time

42.8%T opening success

36.0%CT opening success

0.44Enemies flashed / flash

3.7%Flash assists

11.28HE damage / grenade

4.05Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.7945° — above the 12° mark we flag
Aim Training →
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 5.7388% — 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 0.4372 — 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.

17% win rate across 6 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
mirage	7–13	-0.06	5%	24 Aug →
mirage	16–14	-0.00	6%	23 Aug →
inferno	13–6	0.03	5%	21 Aug →
anubis	13–8	0.06	4%	21 Aug →
mirage	13–10	0.07	4%	21 Aug →
anubis	9–13	0.08	6%	21 Aug →
dust2	13–7	0.04	4%	21 Aug →
anubis	13–11	0.05	6%	21 Aug →
nuke	13–3	0.07	5%	21 Aug →
ancient	9–13	-0.02	4%	21 Aug →
nuke	13–2	-0.02	8%	18 Aug →
mirage	13–6	0.00	4%	14 Aug →
inferno	2–13	-0.07	0%	14 Aug →
inferno	13–8	0.01	6%	14 Aug →
ancient	7–13	0.13	4%	14 Aug →
inferno	13–11	0.03	6%	7 Aug →
mirage	13–2	0.04	12%	7 Aug →
mirage	1–13	-0.05	20%	7 Aug →
nuke	13–5	0.06	0%	7 Aug →
anubis	11–13	0.07	2%	31 Jul →
dust2	15–15	-0.00	11%	29 Jul →
nuke	13–3	0.02	18%	28 Jul →
dust2	9–13	-0.06	2%	27 Jul →
cache	13–4	0.09	5%	26 Jul →
anubis	13–4	0.04	10%	24 Jul →
dust2	13–9	-0.03	12%	24 Jul →
dust2	16–14	-0.02	3%	24 Jul →
cache	9–13	-0.01	3%	24 Jul →
inferno	13–8	0.02	4%	24 Jul →
nuke	7–13	0.03	1%	24 Jul →
inferno	13–5	0.09	6%	19 Jul →
ancient	11–13	-0.03	5%	19 Jul →
nuke	9–13	-0.02	8%	19 Jul →
mirage	12–16	0.00	8%	19 Jul →
nuke	9–13	-0.04	4%	19 Jul →
inferno	3–13	-0.01	8%	19 Jul →
mirage	3–13	-0.02	10%	19 Jul →
anubis	2–13	0.01	9%	19 Jul →
nuke	13–4	0.01	5%	19 Jul →
inferno	13–4	0.14	8%	18 Jul →
mirage	6–13	-0.01	13%	17 Jul →
nuke	5–13	0.01	5%	17 Jul →
inferno	13–2	0.15	8%	17 Jul →
dust2	11–13	0.09	5%	17 Jul →
dust2	15–15	0.07	9%	17 Jul →
mirage	15–15	0.01	5%	16 Jul →
anubis	13–9	0.03	4%	16 Jul →
nuke	7–13	-0.01	7%	16 Jul →
inferno	4–13	0.04	8%	16 Jul →
inferno	13–5	0.00	3%	15 Jul →
dust2	10–13	-0.02	9%	15 Jul →
ancient	6–13	-0.03	3%	15 Jul →
cache	3–13	-0.01	15%	15 Jul →
nuke	13–8	0.03	7%	15 Jul →
cache	5–13	-0.06	4%	15 Jul →
mirage	13–11	0.05	12%	14 Jul →
inferno	9–13	0.11	5%	14 Jul →
nuke	13–6	0.02	3%	14 Jul →
mirage	13–10	-0.01	6%	13 Jul →
dust2	6–13	0.03	8%	13 Jul →
nuke	9–13	0.02	5%	13 Jul →
anubis	10–13	0.01	8%	13 Jul →
dust2	13–8	0.05	2%	13 Jul →
anubis	13–2	0.11	2%	13 Jul →
cache	3–13	-0.07	0%	13 Jul →
mirage	13–7	0.06	10%	13 Jul →
nuke	6–13	0.07	5%	13 Jul →
nuke	13–7	0.05	10%	13 Jul →
cache	13–4	0.06	10%	13 Jul →
cache	9–13	0.09	4%	12 Jul →
dust2	13–6	0.09	6%	12 Jul →
inferno	14–16	0.01	2%	12 Jul →
anubis	10–13	-0.02	3%	12 Jul →
dust2	15–15	-0.01	6%	12 Jul →
dust2	13–4	0.04	10%	12 Jul →
dust2	13–7	0.02	9%	12 Jul →
cache	6–13	-0.01	5%	12 Jul →
anubis	13–4	0.12	6%	11 Jul →
cache	13–16	0.13	6%	11 Jul →
mirage	3–13	0.01	3%	11 Jul →
mirage	13–11	0.09	8%	11 Jul →
cache	10–13	0.07	6%	10 Jul →
inferno	3–13	-0.04	13%	10 Jul →
nuke	13–10	0.03	5%	10 Jul →
ancient	13–6	0.12	5%	10 Jul →
cache	10–13	0.05	9%	10 Jul →
dust2	10–13	0.04	16%	10 Jul →
cache	16–13	0.06	4%	10 Jul →
nuke	13–11	0.10	5%	9 Jul →
inferno	14–16	0.04	6%	9 Jul →
nuke	13–9	0.04	6%	9 Jul →
inferno	6–13	-0.07	5%	9 Jul →
cache	6–13	-0.08	5%	9 Jul →
cache	9–13	0.04	7%	9 Jul →
inferno	16–13	0.02	9%	9 Jul →
train	4–13	0.00	3%	8 Jul →
ancient	4–13	-0.04	6%	8 Jul →
vertigo	7–13	0.02	3%	7 Jul →
cache	6–13	-0.01	4%	7 Jul →
train	13–4	0.08	7%	7 Jul →