P e q u o d — CS2 Stats

AU76561198013286779[U:1:53021051]Steam profile ↗✓ No bans

273Tracked matches50%Win rate2021Tracked since

875Hours in CS7Hrs last 2 wks

CSDB Rating3.6 Learning

Ladder ranks via Leetify

Performance scores

Aim39

Positioning30

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY43–48–9Last 10043%Win rateTLLWWLLLWW

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

Player DNA

Aim3.9

Aggression1.2

Utility4.1

Positioning3.0

Opening Duels0.0

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 64% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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

Aim3.9

Positioning3.0

Utility4.1

Mechanics4.6

Opening Duels0.0

Win Impact5.0

Composite 3.6/10 (Learning), 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 rating-0.03−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time656ms−29ms

first ⅓ avg 685ms → last ⅓ avg 656ms

Headshot accuracy13.5%−1.3%

first ⅓ avg 14.8% → last ⅓ avg 13.5%

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

0.20Best rating — nuke 13–8

13–0Biggest win — inferno

4Longest win streak

5–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 60% over 5infernoWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	25	11–14	44%	-0.02
nuke	C	18	7–11	39%	-0.03
dust2	C	15	6–9	40%	-0.04
inferno	D	14	4–10	29%	-0.03
cache	A	12	7–5	58%	-0.02
ancient	A	5	3–2	60%	0.02
overpass	—	4	2–2	50%	-0.01
train	—	3	1–2	33%	-0.03
anubis	—	2	0–2	0%	-0.06
italy	—	1	1–0	100%	-0.01
vertigo	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,089Lifetime kills

0.93K/D

1,335Matches

43.7%Match win rate

29.6%Headshot %

16.0%Shot accuracy · Top 25% of tracked players

1,998MVPs

487Hours (in match)

694Bombs planted

259Bombs defused

Most-used weapons

M4A4 / M4A1-S3,960

AWP3,621

AK-473,393

SSG 081,148

Desert Eagle854

P2000 / USP-S760

UMP-45487

P250454

FAMAS365

MP7347

Lifetime map wins

2,184dust2

1,345inferno

970nuke

243train

228vertigo

213office

74assault

72cbble

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.

13.2%Headshot accuracy

32.0%Accuracy (enemy spotted)

32.1%Spray accuracy

70.7%Counter-strafing

10.7°Preaim

651msReaction time

18.6%T opening success

28.3%CT opening success

0.52Enemies flashed / flash

3.3%Flash assists

4.30HE damage / grenade

17.28Flashes / 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 13.1744% — 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 18.6089% — 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.

29% win rate across 14 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
dust2	12–12	-0.02	13%	28 Aug →
mirage	2–13	-0.08	6%	25 Aug →
mirage	8–13	-0.04	12%	23 Aug →
dust2	13–5	-0.04	15%	21 Aug →
cache	13–9	-0.03	12%	21 Aug →
dust2	10–13	-0.06	18%	15 Aug →
mirage	8–13	-0.05	14%	14 Aug →
train	9–13	-0.07	12%	14 Aug →
mirage	13–7	0.03	14%	14 Aug →
inferno	13–10	-0.06	12%	14 Aug →
cache	6–13	-0.02	29%	9 Aug →
mirage	13–11	0.01	13%	8 Aug →
anubis	7–13	-0.10	5%	8 Aug →
cache	13–9	0.03	9%	8 Aug →
mirage	13–7	-0.01	23%	8 Aug →
nuke	12–12	-0.02	0%	5 Aug →
ancient	13–3	-0.04	6%	4 Aug →
mirage	9–13	-0.09	23%	4 Aug →
dust2	10–13	-0.09	12%	4 Aug →
cache	13–10	-0.02	13%	3 Aug →
nuke	13–10	-0.01	15%	2 Aug →
dust2	2–13	-0.06	11%	2 Aug →
mirage	4–13	-0.04	18%	2 Aug →
inferno	13–0	-0.03	13%	2 Aug →
nuke	6–13	-0.06	22%	2 Aug →
anubis	4–13	-0.01	11%	25 Jul →
nuke	13–10	0.03	9%	25 Jul →
nuke	1–13	-0.06	9%	23 Jul →
cache	13–1	0.07	9%	19 Jul →
italy	13–8	-0.01	17%	19 Jul →
inferno	12–12	-0.04	19%	19 Jul →
inferno	8–13	-0.05	17%	18 Jul →
inferno	8–13	-0.03	16%	18 Jul →
ancient	13–5	0.05	8%	18 Jul →
dust2	5–13	-0.15	4%	17 Jul →
nuke	13–8	-0.04	13%	16 Jul →
mirage	13–7	-0.03	2%	9 Jul →
inferno	6–13	-0.09	23%	9 Jul →
overpass	10–13	-0.05	13%	8 Jul →
mirage	9–13	0.01	13%	5 Jul →
inferno	3–13	-0.07	9%	5 Jul →
mirage	13–5	-0.01	20%	5 Jul →
cache	13–10	0.02	8%	4 Jul →
cache	13–7	-0.04	12%	4 Jul →
mirage	11–13	-0.07	12%	4 Jul →
mirage	7–2	0.14	21%	3 Jul →
train	13–8	0.08	13%	3 Jul →
mirage	13–1	0.00	5%	3 Jul →
mirage	13–7	-0.05	13%	28 Jun →
inferno	5–13	-0.01	17%	28 Jun →
ancient	13–8	0.15	16%	28 Jun →
nuke	13–11	0.03	11%	27 Jun →
nuke	5–13	0.01	17%	26 Jun →
mirage	10–13	-0.04	11%	26 Jun →
inferno	13–6	0.03	12%	26 Jun →
nuke	16–13	-0.03	11%	26 Jun →
mirage	5–13	-0.06	10%	26 Jun →
nuke	1–13	-0.07	6%	25 Jun →
dust2	5–13	-0.02	11%	25 Jun →
mirage	15–15	0.06	13%	21 Jun →
train	12–12	-0.10	7%	21 Jun →
dust2	12–12	0.01	32%	21 Jun →
ancient	7–13	-0.07	9%	21 Jun →
ancient	3–13	0.01	14%	21 Jun →
dust2	13–10	-0.01	26%	21 Jun →
overpass	16–14	0.06	11%	21 Jun →
mirage	13–1	-0.01	10%	20 Jun →
nuke	15–15	-0.08	13%	20 Jun →
mirage	13–10	0.07	9%	20 Jun →
dust2	13–4	-0.02	14%	20 Jun →
dust2	16–13	-0.01	11%	20 Jun →
dust2	11–13	-0.04	11%	20 Jun →
dust2	8–13	0.03	12%	16 Jun →
nuke	8–13	0.03	13%	16 Jun →
mirage	10–13	-0.04	16%	14 Jun →
overpass	6–13	-0.05	14%	14 Jun →
nuke	3–13	-0.12	19%	14 Jun →
inferno	13–1	0.16	16%	14 Jun →
nuke	1–6	-0.06	38%	14 Jun →
mirage	3–13	-0.13	6%	14 Jun →
mirage	9–13	-0.12	6%	13 Jun →
inferno	3–13	-0.05	23%	13 Jun →
cache	4–13	-0.11	3%	13 Jun →
cache	11–13	-0.05	20%	13 Jun →
nuke	13–10	0.03	19%	13 Jun →
dust2	13–10	-0.03	9%	13 Jun →
inferno	11–13	-0.03	9%	13 Jun →
vertigo	13–11	-0.02	21%	13 Jun →
nuke	13–8	0.20	16%	13 Jun →
inferno	11–13	-0.03	29%	13 Jun →
cache	9–13	-0.04	14%	11 Jun →
inferno	3–13	-0.10	20%	11 Jun →
mirage	15–15	0.04	11%	11 Jun →
overpass	13–9	-0.01	21%	10 Jun →
dust2	13–11	-0.04	17%	9 Jun →
cache	12–12	0.01	15%	7 Jun →
cache	13–10	-0.05	8%	6 Jun →
mirage	13–5	-0.01	17%	6 Jun →
nuke	1–13	-0.14	0%	6 Jun →
nuke	4–13	-0.15	18%	6 Jun →