Hatch — CS2 Stats

US76561198844796105[U:1:884530377]Steam profile ↗

723Tracked matches56%Win rate2020Tracked since

1,890Hours in CS2Hrs last 2 wks

CSDB Rating4.8 Developing

Ladder ranks via Leetify

Performance scores

Aim44

Positioning48

Utility53

0–100 skill scores via Leetify.

Recent form

COLD51–42–7Last 10051%Win rateTLWTLLWLWT

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

Aim4.4

Aggression6.2

Utility5.3

Positioning4.8

Opening Duels1.9

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 83% playstyle similarity

Most alike: opening-fight frequency, 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. 594ms 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

Aim4.4

Positioning4.8

Utility5.3

Mechanics5.3

Opening Duels1.9

Win Impact7.0

Composite 4.8/10 (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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time584ms−27ms

first ⅓ avg 610ms → last ⅓ avg 584ms

Headshot accuracy12.5%−3.9%

first ⅓ avg 16.3% → last ⅓ avg 12.5%

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

0.22Best rating — inferno 9–3

13–1Biggest win — train

9Longest win streak

5–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

overpassBest map · 75% over 8cacheWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	21	12–9	57%	0.05
nuke	A	16	10–6	63%	0.01
mirage	B	13	6–7	46%	-0.01
dust2	C	13	5–8	38%	-0.00
ancient	C	9	4–5	44%	-0.00
overpass	S	8	6–2	75%	-0.00
anubis	C	7	3–4	43%	0.00
cache	D	5	1–4	20%	-0.02
shelter	—	2	1–1	50%	0.01
office	—	2	0–2	0%	-0.00
boulder	—	1	1–0	100%	-0.00
fachwerk	—	1	1–0	100%	0.02
warden	—	1	0–1	0%	-0.05
train	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Lifetime stats

51,123Lifetime kills

1.01K/D

4,839Matches

54.6%Match win rate · Top 10% of tracked players

34.9%Headshot %

12.4%Shot accuracy · Top 50% of tracked players

6,128MVPs

1,024Hours (in match)

1,352Bombs planted

324Bombs defused

Most-used weapons

M4A4 / M4A1-S6,371

AK-476,111

Negev5,969

AWP4,665

Desert Eagle3,556

Galil AR2,352

MP72,275

SG 5531,911

XM10141,483

P901,451

Lifetime map wins

9,879office

2,640inferno

1,018dust2

804nuke

743train

563italy

493militia

481vertigo

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.

12.4%Headshot accuracy

33.5%Accuracy (enemy spotted)

34.0%Spray accuracy

74.0%Counter-strafing

12.6°Preaim

594msReaction time

38.0%T opening success

37.4%CT opening success

0.56Enemies flashed / flash

1.9%Flash assists

14.22HE damage / grenade

13.74Flashes / 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 12.6069° — 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 12.3991% — below the 15% mark we flag
Aim Training →

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

Map	Score	Rating	HS%	Date
mirage	12–12	0.01	14%	26 Aug →
nuke	10–13	-0.06	11%	26 Aug →
mirage	13–10	-0.03	19%	14 Aug →
dust2	12–12	-0.01	13%	14 Aug →
ancient	5–13	0.03	11%	11 Aug →
inferno	5–9	-0.03	11%	5 Aug →
cache	16–13	-0.02	10%	23 Jul →
mirage	10–13	-0.01	18%	20 Jul →
anubis	13–6	0.00	15%	20 Jul →
shelter	12–12	0.03	11%	14 Jul →
boulder	13–2	-0.00	13%	14 Jul →
fachwerk	13–4	0.02	15%	14 Jul →
dust2	15–15	0.02	11%	13 Jul →
ancient	13–11	-0.01	6%	11 Jul →
dust2	8–13	0.01	14%	11 Jul →
shelter	13–11	-0.01	19%	10 Jul →
cache	15–15	-0.00	20%	10 Jul →
mirage	13–5	0.02	6%	9 Jul →
inferno	13–10	0.06	17%	6 Jul →
dust2	13–7	0.05	21%	6 Jul →
inferno	4–13	0.04	18%	5 Jul →
ancient	13–5	0.01	0%	5 Jul →
ancient	13–10	0.00	4%	5 Jul →
nuke	13–8	0.04	13%	5 Jul →
cache	6–13	-0.03	21%	5 Jul →
ancient	13–8	0.07	15%	4 Jul →
office	9–13	-0.01	5%	3 Jul →
inferno	8–13	-0.00	12%	3 Jul →
dust2	4–13	-0.05	11%	3 Jul →
overpass	7–13	-0.04	7%	3 Jul →
ancient	5–13	-0.04	0%	3 Jul →
nuke	6–13	0.02	18%	2 Jul →
cache	5–13	-0.01	14%	2 Jul →
inferno	3–13	0.08	21%	2 Jul →
dust2	7–13	-0.02	29%	2 Jul →
mirage	6–13	-0.08	5%	1 Jul →
inferno	6–13	0.07	30%	1 Jul →
nuke	13–11	-0.01	22%	1 Jul →
mirage	10–13	-0.00	7%	30 Jun →
overpass	5–0	0.02	50%	30 Jun →
nuke	11–13	0.02	23%	30 Jun →
nuke	13–11	0.08	11%	29 Jun →
ancient	4–13	-0.05	13%	27 Jun →
mirage	13–4	0.02	20%	27 Jun →
inferno	13–4	0.04	25%	26 Jun →
warden	7–13	-0.05	14%	26 Jun →
inferno	9–6	0.01	33%	25 Jun →
inferno	9–3	0.14	13%	25 Jun →
inferno	9–1	0.13	50%	25 Jun →
nuke	12–12	-0.05	14%	24 Jun →
inferno	13–9	0.05	10%	24 Jun →
nuke	9–13	-0.02	0%	24 Jun →
ancient	8–13	-0.03	8%	24 Jun →
inferno	13–11	0.01	14%	23 Jun →
anubis	13–5	0.03	17%	23 Jun →
dust2	5–13	-0.04	14%	23 Jun →
nuke	13–5	-0.02	23%	22 Jun →
overpass	15–15	-0.03	13%	22 Jun →
inferno	13–2	0.06	23%	22 Jun →
anubis	6–13	-0.09	17%	22 Jun →
train	13–1	0.06	13%	22 Jun →
inferno	13–9	0.05	14%	22 Jun →
nuke	13–1	0.04	21%	21 Jun →
cache	7–13	-0.01	19%	21 Jun →
inferno	9–3	0.22	39%	21 Jun →
nuke	13–4	0.02	13%	21 Jun →
inferno	12–16	0.05	11%	21 Jun →
dust2	13–10	-0.00	20%	21 Jun →
overpass	16–13	0.00	10%	21 Jun →
nuke	13–10	0.01	14%	21 Jun →
mirage	13–9	-0.05	13%	21 Jun →
anubis	13–3	0.06	5%	21 Jun →
dust2	13–8	-0.02	28%	21 Jun →
inferno	13–5	0.02	19%	21 Jun →
overpass	13–4	0.01	25%	21 Jun →
nuke	13–7	-0.01	17%	20 Jun →
mirage	5–13	-0.06	0%	20 Jun →
inferno	14–16	0.03	13%	20 Jun →
inferno	6–13	-0.00	11%	20 Jun →
mirage	13–9	0.05	15%	20 Jun →
dust2	6–13	-0.09	22%	19 Jun →
anubis	10–13	0.03	20%	19 Jun →
overpass	13–10	0.03	13%	18 Jun →
mirage	10–13	-0.02	12%	18 Jun →
dust2	13–6	0.01	19%	16 Jun →
nuke	13–2	0.01	21%	16 Jun →
ancient	8–13	-0.01	24%	15 Jun →
overpass	13–9	-0.02	21%	15 Jun →
nuke	13–3	0.09	12%	15 Jun →
anubis	10–13	0.05	14%	15 Jun →
dust2	13–3	0.06	17%	14 Jun →
office	4–5	0.01	29%	14 Jun →
overpass	13–6	0.02	21%	13 Jun →
mirage	7–13	-0.04	20%	13 Jun →
nuke	11–13	-0.01	24%	13 Jun →
dust2	9–13	0.03	9%	13 Jun →
anubis	0–13	-0.07	9%	13 Jun →
inferno	7–13	-0.04	20%	13 Jun →
mirage	13–9	0.01	11%	13 Jun →
inferno	13–9	0.04	11%	13 Jun →