seanathan — CS2 Stats

76561198354216934[U:1:393951206]

1,483Tracked matches50%Win rate2020Tracked since

3,198Hours in CS1Hrs last 2 wks

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating21,077Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)

CSDB Leaderboard#9075 of 25232 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 4 median	Level 5 median	vs Level 5
Headshot rate	39.9%	42.5%	44.2%	4.3% short
Shot accuracy	12.3%	10.9%	11.2%	above
Kill/death ratio	0.90	0.99	1.04	0.13 short
Match win rate	44.6%	44.2%	45.3%	meets

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim63

Positioning52

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY54–42–4Last 10054%Win rateWWWWLLWTLW

Last 10 vs previous 10: +20pp win rate · -0.03 avg rating

Player DNA

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

Aim6.3

Aggression5.6

Utility3.8

Positioning5.2

Opening Duels2.0

Clutch2.6

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 85% 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. 562ms 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

Aim6.3

Positioning5.2

Utility3.8

Mechanics5.2

Opening Duels2.0

Win Impact5.0

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02

first ⅓ avg -0.00 → last ⅓ avg -0.03

Reaction time553ms−25ms

first ⅓ avg 578ms → last ⅓ avg 553ms

Headshot accuracy12.5%−0.1%

first ⅓ avg 12.5% → 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

0.17Best rating — cache 13–5

13–0Biggest win — inferno

5Longest win streak

W4Current streak

12–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 73% over 11anubisWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	24	15–9	63%	-0.01
dust2	C	15	6–9	40%	-0.02
cache	B	13	7–6	54%	0.02
nuke	A	11	6–5	55%	-0.01
ancient	S	11	8–3	73%	-0.02
anubis	D	10	3–7	30%	-0.04
inferno	A	9	5–4	56%	-0.01
vertigo	S	6	4–2	67%	-0.01
shelter	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,978Lifetime kills

0.90K/D

2,756Matches

44.6%Match win rate · Top 50% of Level 4 players

39.9%Headshot %

12.3%Shot accuracy · Top 50% of Level 4 players

4,933MVPs

950Hours (in match)

2,649Bombs planted

536Bombs defused

Most-used weapons

AK-4713,047

M4A4 / M4A1-S10,209

AWP7,053

P2000 / USP-S2,240

Desert Eagle1,770

Glock-181,719

MP9858

Tec-9559

Galil AR553

FAMAS499

Lifetime map wins

3,331dust2

1,877nuke

1,734inferno

1,642vertigo

1,064train

96cbble

77office

43lake

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

Faceit stats

Combat

30Matches

43%Win rate

0.91Avg K/D

84.2ADR

40%Headshot %

Clutches & streaks

33%1v1 clutch win

15%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	7	43%	0.85	17.7
Inferno	6	50%	0.98	15.2
Dust2	5	60%	1.04	15.6
Anubis	2	100%	1.16	18.5
Overpass	2	0%	0.79	16.0
Ancient	1	0%	1.27	19.0
Nuke	1	0%	1.32	25.0

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.

12.7%Headshot accuracy

34.3%Accuracy (enemy spotted)

38.3%Spray accuracy

73.3%Counter-strafing

9.2°Preaim

562msReaction time

36.5%T opening success

39.7%CT opening success

0.53Enemies flashed / flash

5.6%Flash assists

8.07HE damage / grenade

1.51Flashes / 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 12.6665% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.5134 — below the 4 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 36.478% — below the 40% mark we flag

Spend your practice time on Anubis

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–4	-0.05	8%	19 Aug →
nuke	16–13	-0.05	7%	6 Aug →
inferno	13–11	-0.05	17%	6 Aug →
ancient	16–14	-0.02	7%	6 Aug →
mirage	11–13	-0.03	26%	4 Aug →
mirage	7–13	-0.05	7%	31 Jul →
mirage	13–8	-0.03	11%	31 Jul →
ancient	15–15	0.00	0%	31 Jul →
dust2	9–13	-0.06	15%	31 Jul →
nuke	13–9	-0.00	6%	30 Jul →
nuke	11–13	0.03	25%	30 Jul →
mirage	13–9	0.03	15%	30 Jul →
inferno	13–7	-0.01	18%	30 Jul →
anubis	14–16	-0.02	12%	28 Jul →
anubis	9–13	0.01	3%	28 Jul →
nuke	13–11	0.01	19%	28 Jul →
dust2	11–13	-0.00	18%	28 Jul →
ancient	13–10	-0.02	3%	28 Jul →
cache	6–13	-0.07	10%	28 Jul →
anubis	9–13	-0.05	9%	27 Jul →
mirage	15–15	-0.02	6%	27 Jul →
mirage	8–13	-0.07	20%	22 Jul →
anubis	12–16	-0.07	8%	22 Jul →
anubis	13–8	-0.00	13%	22 Jul →
ancient	13–11	-0.01	15%	22 Jul →
mirage	13–8	-0.00	24%	22 Jul →
inferno	13–16	-0.02	21%	19 Jul →
mirage	6–13	-0.11	0%	19 Jul →
nuke	13–11	-0.05	17%	19 Jul →
mirage	9–13	-0.00	9%	19 Jul →
nuke	13–6	-0.03	19%	19 Jul →
anubis	7–13	-0.04	9%	19 Jul →
nuke	10–13	0.00	13%	19 Jul →
inferno	13–5	0.07	7%	19 Jul →
cache	3–13	0.02	4%	19 Jul →
mirage	13–11	-0.08	11%	18 Jul →
inferno	13–0	0.04	15%	18 Jul →
ancient	13–8	-0.04	16%	18 Jul →
ancient	13–5	-0.05	9%	18 Jul →
ancient	13–1	0.05	9%	18 Jul →
cache	5–13	-0.04	17%	18 Jul →
mirage	13–7	-0.02	12%	18 Jul →
nuke	4–13	0.03	16%	18 Jul →
dust2	8–13	-0.03	15%	18 Jul →
vertigo	13–6	-0.02	11%	18 Jul →
vertigo	13–6	0.02	16%	17 Jul →
dust2	13–10	0.00	14%	17 Jul →
nuke	13–11	0.02	14%	17 Jul →
mirage	13–11	-0.00	18%	17 Jul →
dust2	9–13	-0.08	13%	16 Jul →
ancient	8–13	-0.06	13%	14 Jul →
cache	13–2	0.00	22%	14 Jul →
mirage	6–13	0.02	20%	14 Jul →
inferno	10–13	-0.06	22%	14 Jul →
mirage	13–1	0.05	60%	14 Jul →
ancient	13–6	-0.02	11%	14 Jul →
dust2	8–13	-0.02	13%	14 Jul →
dust2	13–2	0.06	12%	14 Jul →
mirage	16–14	-0.01	8%	13 Jul →
mirage	13–5	0.10	21%	13 Jul →
dust2	11–13	-0.03	13%	13 Jul →
cache	8–13	-0.04	22%	13 Jul →
mirage	13–5	0.03	14%	13 Jul →
dust2	13–2	-0.01	19%	13 Jul →
mirage	4–13	-0.08	14%	12 Jul →
cache	11–13	0.02	13%	12 Jul →
ancient	11–13	-0.01	17%	12 Jul →
inferno	5–13	-0.01	15%	12 Jul →
ancient	13–9	-0.03	5%	12 Jul →
dust2	10–13	-0.05	13%	11 Jul →
dust2	13–2	0.07	18%	11 Jul →
mirage	5–13	-0.01	11%	11 Jul →
mirage	13–5	-0.02	12%	11 Jul →
dust2	13–5	0.00	10%	10 Jul →
vertigo	13–7	-0.00	16%	10 Jul →
vertigo	12–12	0.07	9%	10 Jul →
cache	7–13	0.01	19%	9 Jul →
cache	13–2	0.03	11%	9 Jul →
cache	13–9	0.10	18%	9 Jul →
shelter	4–13	-0.07	15%	9 Jul →
vertigo	5–13	-0.07	8%	8 Jul →
cache	13–5	0.17	15%	7 Jul →
cache	13–8	-0.02	19%	6 Jul →
cache	13–7	0.06	8%	6 Jul →
vertigo	13–6	-0.06	19%	6 Jul →
inferno	13–16	-0.00	15%	30 Jun →
anubis	5–13	-0.04	8%	30 Jun →
dust2	13–11	-0.03	13%	25 Jun →
anubis	13–8	-0.06	4%	24 Jun →
dust2	0–2	-0.05	0%	24 Jun →
mirage	13–7	-0.00	6%	23 Jun →
inferno	9–2	-0.06	15%	23 Jun →
nuke	2–11	-0.06	0%	22 Jun →
mirage	13–11	0.01	11%	23 May →
anubis	4–13	-0.02	38%	23 May →
nuke	15–15	-0.05	7%	23 May →
mirage	13–3	-0.03	19%	14 May →
mirage	13–6	0.08	14%	13 May →
dust2	8–13	-0.05	15%	12 May →
cache	13–11	0.03	8%	29 Apr →