Crawdad — CS2 Stats

76561198394700695[U:1:434434967]Steam profile ↗✓ No bans

2,283Tracked matches55%Win rate2023Tracked since

4,183Hours in CS52Hrs last 2 wks

CSDB Rating4.2 Developing

Premier CS Rating9,527Light Blue band · top ~57.2% of ranked players (population est.)

CSDB Leaderboard#14611 of 19723 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanSilver IV

Ladder ranks via Leetify

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Performance scores

Aim52

Positioning46

Utility29

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLWWLWTWLWL

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

Player DNA

Aim5.2

Aggression5.9

Utility2.9

Positioning4.6

Opening Duels1.7

Clutch2.6

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 79% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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. 651ms 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

Aim5.2

Positioning4.6

Utility2.9

Mechanics5.9

Opening Duels1.7

Win Impact6.7

Composite 4.2/10 (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+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time652ms−32ms

first ⅓ avg 684ms → last ⅓ avg 652ms

Headshot accuracy13.2%−0.7%

first ⅓ avg 14.0% → last ⅓ avg 13.2%

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

0.17Best rating — ancient 13–2

13–1Biggest win — nuke

5Longest win streak

7–11In matches decided by ≤2 rounds

5Overtime games

Map breakdown

officeBest map · 78% over 9infernoWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	17	9–8	53%	0.03
mirage	B	15	7–8	47%	0.03
ancient	C	14	6–8	43%	0.04
dust2	A	13	8–5	62%	0.04
inferno	D	12	3–9	25%	0.01
cache	A	11	6–5	55%	0.02
office	S	9	7–2	78%	0.01
anubis	—	4	0–4	0%	-0.01
vertigo	—	3	2–1	67%	-0.03
overpass	—	1	1–0	100%	-0.07
train	—	1	1–0	100%	0.17

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,600Lifetime kills

0.86K/D

2,840Matches

43.3%Match win rate

39.6%Headshot %

3.2%Shot accuracy

4,134MVPs

1,021Hours (in match)

2,054Bombs planted

497Bombs defused

Most-used weapons

AK-4710,179

M4A4 / M4A1-S7,566

AWP3,730

Desert Eagle2,869

SSG 081,788

P2000 / USP-S1,748

Glock-181,468

FAMAS853

MP9759

Galil AR576

Lifetime map wins

4,679dust2

4,564nuke

3,892office

3,068inferno

1,155vertigo

397train

175italy

7ar_baggage

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

Faceit stats

Combat

6Matches

50%Win rate

0.73Avg K/D

59.3ADR

42%Headshot %

Clutches & streaks

33%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	2	100%	0.86	13.5
Vertigo	2	0%	0.58	11.5
Dust2	1	0%	0.73	11.0
Mirage	1	100%	0.78	14.0

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.

13.4%Headshot accuracy

32.6%Accuracy (enemy spotted)

36.4%Spray accuracy

76.4%Counter-strafing

9.7°Preaim

651msReaction time

38.6%T opening success

35.3%CT opening success

0.40Enemies flashed / flash

4.0%Flash assists

4.90HE damage / grenade

4.77Flashes / 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 13.3744% — 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 0.399 — 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 38.5909% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	8–13	0.09	19%	28 Aug →
ancient	13–6	0.04	7%	28 Aug →
cache	13–9	-0.05	9%	27 Aug →
dust2	4–13	-0.05	13%	27 Aug →
nuke	13–1	0.12	11%	27 Aug →
inferno	12–12	0.02	15%	26 Aug →
mirage	13–6	0.03	12%	26 Aug →
vertigo	10–13	-0.07	14%	23 Aug →
nuke	13–8	-0.04	5%	23 Aug →
nuke	11–13	-0.01	12%	23 Aug →
dust2	13–4	0.12	13%	23 Aug →
inferno	11–13	0.03	9%	23 Aug →
nuke	3–13	0.04	14%	23 Aug →
office	11–13	0.02	25%	23 Aug →
office	13–1	-0.04	6%	23 Aug →
office	13–5	0.05	10%	23 Aug →
nuke	13–7	-0.05	7%	22 Aug →
vertigo	13–5	0.00	8%	22 Aug →
dust2	10–13	-0.03	17%	22 Aug →
mirage	13–8	0.03	20%	22 Aug →
dust2	13–8	0.01	18%	22 Aug →
anubis	4–13	-0.09	26%	22 Aug →
inferno	3–13	-0.03	11%	22 Aug →
inferno	7–13	0.03	8%	22 Aug →
mirage	13–10	-0.02	7%	22 Aug →
ancient	3–13	0.00	19%	22 Aug →
dust2	13–1	0.11	13%	22 Aug →
ancient	10–13	0.04	14%	21 Aug →
nuke	13–10	0.15	23%	21 Aug →
dust2	13–10	0.04	14%	21 Aug →
mirage	15–15	0.05	19%	20 Aug →
ancient	13–10	-0.01	9%	18 Aug →
dust2	13–10	0.06	13%	17 Aug →
ancient	13–11	0.10	14%	17 Aug →
dust2	16–13	-0.04	14%	17 Aug →
office	13–6	-0.03	11%	17 Aug →
mirage	9–13	0.04	16%	16 Aug →
inferno	11–13	-0.02	19%	16 Aug →
mirage	13–7	0.01	18%	16 Aug →
nuke	6–13	-0.04	9%	16 Aug →
office	13–2	0.03	23%	16 Aug →
office	4–13	-0.04	7%	16 Aug →
mirage	13–4	0.02	13%	16 Aug →
anubis	6–13	0.09	18%	16 Aug →
ancient	5–13	-0.00	11%	16 Aug →
ancient	9–13	0.08	7%	16 Aug →
ancient	11–13	0.03	11%	16 Aug →
mirage	15–15	0.02	23%	16 Aug →
anubis	14–16	-0.04	7%	16 Aug →
mirage	10–13	-0.01	25%	16 Aug →
dust2	13–5	0.04	12%	14 Aug →
nuke	11–13	0.10	14%	13 Aug →
office	13–11	-0.02	19%	12 Aug →
ancient	13–2	0.17	15%	12 Aug →
cache	13–10	0.04	11%	12 Aug →
inferno	9–13	0.00	28%	12 Aug →
inferno	13–11	0.02	15%	11 Aug →
nuke	9–13	-0.03	14%	11 Aug →
dust2	11–13	0.11	21%	11 Aug →
mirage	13–3	0.14	18%	11 Aug →
cache	13–8	0.10	19%	11 Aug →
dust2	13–2	0.01	16%	11 Aug →
mirage	8–13	0.07	21%	11 Aug →
anubis	5–13	0.01	6%	10 Aug →
inferno	15–15	0.02	7%	10 Aug →
mirage	13–5	0.01	8%	10 Aug →
cache	13–11	0.12	18%	10 Aug →
inferno	13–11	0.11	21%	10 Aug →
nuke	13–11	0.09	16%	10 Aug →
ancient	13–4	0.04	12%	10 Aug →
nuke	11–13	0.13	18%	9 Aug →
dust2	11–13	0.07	12%	9 Aug →
ancient	5–13	-0.05	0%	9 Aug →
cache	13–9	0.03	16%	9 Aug →
cache	7–13	-0.01	8%	9 Aug →
dust2	5–13	0.02	22%	3 Aug →
office	13–10	0.12	15%	3 Aug →
cache	9–13	-0.02	31%	2 Aug →
nuke	5–13	-0.06	10%	2 Aug →
office	13–8	0.02	16%	2 Aug →
cache	9–13	-0.03	12%	29 Jul →
ancient	6–13	-0.10	6%	29 Jul →
cache	4–13	-0.00	16%	29 Jul →
nuke	13–7	0.06	12%	29 Jul →
cache	5–13	-0.01	9%	29 Jul →
nuke	13–8	0.04	11%	28 Jul →
cache	13–3	0.01	13%	28 Jul →
nuke	8–13	0.04	8%	28 Jul →
nuke	13–6	-0.01	26%	27 Jul →
nuke	13–5	-0.03	19%	27 Jul →
overpass	13–6	-0.07	27%	26 Jul →
train	13–8	0.17	12%	26 Jul →
inferno	13–11	0.04	15%	26 Jul →
inferno	6–13	-0.06	7%	26 Jul →
inferno	9–13	-0.01	5%	26 Jul →
ancient	13–9	0.13	11%	26 Jul →
mirage	8–13	-0.04	5%	26 Jul →
ancient	11–13	0.04	13%	26 Jul →
vertigo	13–8	-0.01	29%	25 Jul →
mirage	7–13	-0.04	9%	25 Jul →

Show all 100 matchesShow fewer

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 →

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