Seemonster — CS2 Stats

76561198053565858[U:1:93300130]

1,343Tracked matches47%Win rate2020Tracked since

2,531Hours in CS

CSDB Rating5.2 DevelopingPassive Rifler

Premier CS Rating10,079Blue band · top ~54.5% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning45

Utility57

0–100 skill scores via Leetify.

Recent form

COLD50–48–2Last 10050%Win rateLLWLLWLLLL

Last 10 vs previous 10: -50pp win rate · -0.00 avg rating

Player DNA

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

Aim6.4

Aggression4.3

Utility5.7

Positioning4.5

Opening Duels0.9

Strong CT-side opener

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 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 43% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 636ms 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

Aim6.4

Positioning4.5

Utility5.7

Mechanics8.3

Opening Duels1.6

Win Impact3.9

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time638ms−93ms

first ⅓ avg 731ms → last ⅓ avg 638ms

Headshot accuracy15.5%−7.7%

first ⅓ avg 23.2% → last ⅓ avg 15.5%

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 — dust2 13–0

13–0Biggest win — dust2

6Longest win streak

L2Current streak

5–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

overpassBest map · 71% over 7mirageWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	31	13–18	42%	0.01
mirage	C	16	6–10	38%	0.01
inferno	A	16	9–7	56%	0.00
nuke	S	9	6–3	67%	0.01
ancient	B	8	4–4	50%	-0.01
overpass	S	7	5–2	71%	0.03
cache	S	6	4–2	67%	0.04
anubis	—	4	2–2	50%	-0.01
train	—	3	1–2	33%	0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,143Lifetime kills

1.11K/D · Top 50% of tracked players

5,827Matches

42.5%Match win rate

40.9%Headshot %

17.1%Shot accuracy · Top 25% of tracked players

12,911MVPs

2,531Hours (in match)

5,401Bombs planted

1,176Bombs defused

Most-used weapons

AK-4733,121

M4A4 / M4A1-S18,483

AWP17,258

Desert Eagle9,388

P2000 / USP-S5,404

P2504,958

XM10143,152

Glock-182,500

MP72,407

MP92,397

Lifetime map wins

14,135inferno

12,509dust2

3,138nuke

1,244vertigo

563train

343cbble

114office

112lake

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.

14.6%Headshot accuracy

31.4%Accuracy (enemy spotted)

34.8%Spray accuracy

87.6%Counter-strafing

8.5°Preaim

636msReaction time

24.3%T opening success

42.7%CT opening success

0.59Enemies flashed / flash

4.5%Flash assists

14.22HE damage / grenade

11.19Flashes / 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 14.5979% — 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 24.3033% — below the 40% mark we flag

Spend your practice time on Mirage

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	8–13	-0.04	5%	22 Aug →
dust2	11–13	0.05	11%	22 Aug →
nuke	13–8	0.06	8%	22 Aug →
mirage	8–13	-0.02	12%	22 Aug →
ancient	8–13	-0.01	11%	22 Aug →
nuke	13–6	0.06	19%	21 Aug →
dust2	8–13	0.02	22%	21 Aug →
mirage	7–13	-0.09	14%	21 Aug →
cache	6–13	-0.02	13%	21 Aug →
anubis	11–13	0.03	7%	14 Aug →
mirage	13–5	-0.01	17%	14 Aug →
dust2	13–6	0.01	17%	14 Aug →
cache	16–12	0.07	18%	14 Aug →
ancient	13–9	-0.01	6%	9 Aug →
dust2	10–13	0.01	15%	9 Aug →
inferno	12–16	0.00	26%	9 Aug →
dust2	13–9	-0.02	19%	7 Aug →
dust2	16–13	0.02	15%	7 Aug →
nuke	13–4	0.01	15%	7 Aug →
dust2	10–13	0.00	21%	2 Aug →
ancient	11–13	-0.05	7%	1 Aug →
anubis	13–8	-0.03	12%	1 Aug →
dust2	13–8	0.04	13%	1 Aug →
inferno	6–13	0.01	21%	1 Aug →
mirage	11–13	0.02	7%	1 Aug →
dust2	7–13	0.04	13%	1 Aug →
mirage	7–13	0.03	25%	1 Aug →
nuke	13–6	0.02	14%	1 Aug →
cache	13–5	0.11	25%	31 Jul →
anubis	13–7	-0.01	11%	31 Jul →
inferno	1–13	-0.07	17%	31 Jul →
mirage	4–13	-0.00	26%	31 Jul →
nuke	2–13	-0.09	29%	31 Jul →
mirage	4–13	-0.05	23%	25 Jul →
dust2	5–13	-0.05	13%	25 Jul →
inferno	13–6	0.06	19%	24 Jul →
dust2	1–13	-0.09	42%	24 Jul →
anubis	4–13	-0.02	14%	24 Jul →
inferno	3–13	0.02	15%	24 Jul →
cache	13–7	0.06	15%	18 Jul →
mirage	8–13	0.01	10%	18 Jul →
ancient	9–13	0.01	15%	11 Jul →
dust2	10–13	-0.07	6%	11 Jul →
cache	13–9	0.03	16%	11 Jul →
mirage	13–6	-0.00	11%	4 Jul →
dust2	13–6	0.06	9%	4 Jul →
mirage	7–13	0.04	16%	3 Jul →
dust2	8–13	-0.03	12%	3 Jul →
cache	10–13	-0.00	16%	2 Jul →
train	13–2	0.04	19%	31 Dec →
dust2	13–6	0.02	16%	19 Dec →
nuke	7–13	-0.06	30%	28 Nov →
inferno	13–4	0.01	15%	28 Nov →
dust2	12–12	0.01	22%	28 Nov →
inferno	13–8	-0.07	23%	15 Nov →
overpass	13–11	-0.05	16%	15 Nov →
inferno	13–7	-0.02	8%	7 Nov →
overpass	13–5	0.08	19%	7 Nov →
dust2	13–11	0.02	15%	7 Nov →
inferno	13–10	0.03	23%	1 Nov →
dust2	11–13	-0.04	26%	1 Nov →
nuke	13–6	0.07	31%	31 Oct →
mirage	13–2	-0.03	42%	29 Oct →
dust2	8–13	0.09	26%	29 Oct →
overpass	13–3	0.05	28%	29 Oct →
inferno	13–11	0.02	15%	29 Oct →
inferno	11–13	-0.04	16%	25 Oct →
dust2	13–4	-0.01	25%	24 Oct →
nuke	10–13	0.02	29%	24 Oct →
inferno	13–4	0.07	17%	18 Oct →
dust2	13–8	-0.01	20%	18 Oct →
dust2	13–7	-0.04	21%	17 Oct →
mirage	13–4	-0.00	26%	9 Oct →
overpass	9–13	0.06	8%	9 Oct →
ancient	13–7	-0.04	28%	4 Oct →
inferno	10–13	-0.02	17%	3 Oct →
overpass	13–11	0.06	16%	3 Oct →
mirage	13–2	0.13	32%	3 Oct →
dust2	5–13	0.08	16%	3 Oct →
inferno	14–16	0.01	17%	3 Oct →
overpass	9–13	0.04	24%	2 Oct →
dust2	13–0	0.17	22%	2 Oct →
inferno	13–11	-0.02	20%	27 Sept →
ancient	13–9	0.05	28%	26 Sept →
dust2	5–13	0.00	39%	26 Sept →
dust2	13–5	0.07	31%	26 Sept →
nuke	13–8	0.04	20%	26 Sept →
dust2	11–13	0.04	21%	26 Sept →
dust2	7–13	-0.04	42%	23 Sept →
inferno	13–9	0.04	18%	23 Sept →
ancient	3–13	-0.03	26%	23 Sept →
train	2–13	0.02	29%	23 Sept →
dust2	14–16	-0.00	13%	22 Sept →
mirage	15–15	0.06	22%	22 Sept →
ancient	13–8	0.02	13%	21 Sept →
mirage	9–0	0.02	33%	19 Sept →
dust2	11–13	-0.01	26%	19 Sept →
dust2	13–4	0.11	29%	16 Sept →
overpass	13–10	-0.02	20%	16 Sept →
train	13–16	0.04	18%	15 Sept →