Scientificlol — CS2 Stats

76561198139560558[U:1:179294830]✓ No bans

240Tracked matches69%Win rate2021Tracked since

667Hours in CS

CSDB Rating6.9 SolidEntry Fragger

Premier CS Rating20,836Pink band · top ~7.6% of ranked players (population est.)

CSDB Leaderboard#5327 of 13144 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning71

Utility21

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateWWLLWWLWLW

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim7.9

Aggression10.0

Utility2.1

Positioning7.1

Opening Duels6.3

Clutch2.4

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 sh1ro 86% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 579ms 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

Aim7.9

Positioning7.1

Utility2.1

Mechanics6.6

Opening Duels6.3

Win Impact10.0

Composite 6.9/10 (Solid), 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 rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time582ms−17ms

first ⅓ avg 598ms → last ⅓ avg 582ms

Headshot accuracy22.9%+4.6%

first ⅓ avg 18.3% → last ⅓ avg 22.9%

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 — overpass 13–2

13–1Biggest win — mirage

6Longest win streak

W2Current streak

13–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 80% over 5nukeWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	22	10–12	45%	0.04
mirage	A	21	13–8	62%	0.00
dust2	A	16	9–7	56%	-0.01
inferno	B	10	5–5	50%	-0.01
nuke	D	10	3–7	30%	-0.03
ancient	C	7	3–4	43%	-0.02
overpass	B	6	3–3	50%	0.03
anubis	S	5	4–1	80%	0.03
office	—	1	0–1	0%	-0.01
vertigo	—	1	1–0	100%	0.11
boulder	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

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

Lifetime stats

33,389Lifetime kills

1.47K/D · Top 10% of Pink band

1,486Matches

47.2%Match win rate · Top 50% of Pink band

36.5%Headshot %

14.7%Shot accuracy · Top 50% of Pink band

3,692MVPs

667Hours (in match)

1,275Bombs planted

397Bombs defused

Most-used weapons

AK-477,973

AWP4,895

M4A4 / M4A1-S4,630

Zeus x272,934

P2000 / USP-S1,581

Desert Eagle1,476

P90920

Glock-18895

Negev779

Tec-9596

Lifetime map wins

2,439dust2

1,726inferno

675nuke

527vertigo

170cbble

142office

116lake

84bank

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

Faceit stats

Combat

26Matches

50%Win rate

1.09Avg K/D

86.7ADR

52%Headshot %

Clutches & streaks

32%1v1 clutch win

16%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	10	50%	1.12	17.0
Mirage	9	56%	1.23	19.6
Inferno	1	100%	1.50	24.0
Cache	1	0%	0.94	15.0
Nuke	1	100%	1.08	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.

23.2%Headshot accuracy

34.1%Accuracy (enemy spotted)

36.2%Spray accuracy

79.7%Counter-strafing

8.0°Preaim

579msReaction time

56.0%T opening success

54.3%CT opening success

0.33Enemies flashed / flash

1.2%Flash assists

7.97HE damage / grenade

4.13Flashes / 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.

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 0.3268 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	16–14	-0.02	12%	29 Jul →
anubis	13–11	-0.00	21%	29 Jul →
inferno	5–9	-0.06	7%	29 Jul →
inferno	3–13	-0.02	18%	27 Jul →
cache	13–2	0.09	24%	27 Jul →
dust2	13–4	0.14	30%	27 Jul →
ancient	2–13	-0.04	24%	27 Jul →
anubis	13–8	0.07	24%	26 Jul →
cache	8–13	0.12	25%	26 Jul →
mirage	16–12	-0.01	20%	26 Jul →
anubis	13–6	0.02	41%	23 Jul →
nuke	8–13	-0.07	20%	23 Jul →
nuke	13–6	0.07	20%	23 Jul →
nuke	13–9	-0.00	20%	22 Jul →
inferno	13–11	-0.00	33%	22 Jul →
overpass	13–2	0.17	22%	22 Jul →
cache	13–10	0.05	23%	22 Jul →
mirage	16–14	-0.03	20%	21 Jul →
mirage	13–16	-0.04	16%	21 Jul →
mirage	3–13	-0.10	19%	21 Jul →
dust2	7–13	-0.04	18%	21 Jul →
mirage	6–13	0.04	28%	20 Jul →
dust2	13–8	0.01	29%	20 Jul →
mirage	13–4	-0.04	24%	20 Jul →
anubis	12–12	0.06	31%	20 Jul →
mirage	13–9	-0.01	23%	20 Jul →
mirage	13–11	0.08	14%	20 Jul →
office	4–13	-0.01	31%	19 Jul →
vertigo	13–8	0.11	26%	19 Jul →
mirage	13–1	0.11	35%	19 Jul →
boulder	13–9	0.04	22%	19 Jul →
mirage	9–13	-0.03	18%	19 Jul →
dust2	13–8	-0.06	20%	13 Jul →
anubis	13–7	0.01	20%	13 Jul →
cache	13–3	-0.03	14%	13 Jul →
nuke	15–15	-0.03	14%	13 Jul →
ancient	8–13	-0.02	20%	12 Jul →
inferno	13–9	0.01	22%	12 Jul →
cache	7–13	-0.02	18%	12 Jul →
cache	13–8	-0.04	8%	12 Jul →
dust2	11–13	-0.03	20%	12 Jul →
ancient	8–13	-0.03	21%	11 Jul →
dust2	10–13	-0.04	14%	11 Jul →
dust2	2–13	-0.05	20%	11 Jul →
nuke	13–4	0.04	19%	11 Jul →
mirage	11–13	-0.02	25%	11 Jul →
mirage	1–13	0.00	14%	11 Jul →
mirage	13–6	0.01	19%	10 Jul →
nuke	4–13	-0.11	11%	10 Jul →
mirage	10–13	-0.05	14%	9 Jul →
dust2	13–11	0.02	20%	9 Jul →
dust2	13–7	-0.04	20%	9 Jul →
mirage	13–3	0.05	31%	9 Jul →
dust2	10–13	-0.01	21%	5 Jul →
ancient	13–11	-0.00	34%	11 Jun →
inferno	7–13	-0.03	20%	9 Jun →
dust2	13–11	0.02	17%	9 Jun →
nuke	9–13	-0.09	28%	9 Jun →
mirage	13–9	-0.05	11%	8 Jun →
mirage	12–12	-0.03	31%	8 Jun →
cache	13–5	0.04	15%	8 Jun →
cache	1–13	-0.00	27%	31 May →
mirage	13–8	0.13	21%	22 May →
cache	13–11	-0.06	17%	17 May →
cache	3–3	-0.00	12%	17 May →
cache	6–13	-0.04	23%	16 May →
cache	13–7	0.03	14%	16 May →
cache	13–1	0.12	24%	12 May →
cache	10–13	0.01	12%	11 May →
cache	13–9	0.14	18%	11 May →
cache	13–3	0.11	19%	11 May →
cache	12–12	0.09	23%	11 May →
ancient	8–13	-0.02	28%	9 May →
cache	4–10	0.05	18%	9 May →
dust2	13–5	0.02	23%	9 May →
inferno	13–8	-0.01	18%	9 May →
dust2	8–13	-0.03	22%	9 May →
overpass	16–13	-0.03	21%	8 May →
inferno	13–5	0.07	17%	8 May →
inferno	13–11	-0.03	21%	8 May →
dust2	12–12	-0.04	18%	8 May →
cache	10–13	-0.00	20%	7 May →
cache	9–13	0.09	24%	7 May →
cache	2–2	0.09	27%	7 May →
cache	8–13	0.01	15%	4 May →
mirage	13–11	0.08	18%	25 Apr →
nuke	7–13	-0.05	23%	21 Nov →
overpass	11–13	-0.02	12%	19 Nov →
ancient	13–9	0.03	14%	12 Nov →
inferno	15–15	0.02	13%	12 Nov →
mirage	16–14	0.01	15%	12 Nov →
inferno	1–13	-0.08	16%	11 Nov →
nuke	10–13	-0.06	12%	11 Nov →
nuke	9–13	-0.01	13%	11 Nov →
overpass	13–9	0.07	21%	10 Nov →
dust2	13–11	0.02	17%	10 Nov →
dust2	13–8	-0.02	27%	10 Nov →
ancient	13–10	-0.04	15%	10 Nov →
overpass	10–13	-0.04	12%	10 Nov →
overpass	8–13	0.02	8%	10 Nov →