ShowGG — CS2 Stats

76561198450284307[U:1:490018579]✓ No bans

2,248Tracked matches63%Win rate2021Tracked since

3,579Hours in CS2Hrs last 2 wks

CSDB Rating6.9 SolidAggressive Rifler

FaceitLevel 10 · 2,195 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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 10 median
Headshot rate	51.4%	51.9%
Shot accuracy	10.2%	13.7%
Kill/death ratio	1.31	1.08
Match win rate	54.6%	48.7%

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Performance scores

Aim86

Positioning64

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY64–35–1Last 10064%Win rateWWWLWLLWWL

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.6

Aggression8.3

Utility3.8

Positioning6.4

Opening Duels4.1

Clutch3.8

Sharp aimerStrong CT-side openerLimited 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 donk 91% playstyle similarity

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

Where you differ: 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

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

T-side openings. Opening success drops from 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 570ms 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

Aim8.6

Positioning6.4

Utility3.8

Mechanics7.7

Opening Duels4.1

Win Impact9.4

Composite 6.9/10 (Solid), 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 rating0.04+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time582ms−11ms

first ⅓ avg 593ms → last ⅓ avg 582ms

Headshot accuracy21.9%−0.9%

first ⅓ avg 22.8% → last ⅓ avg 21.9%

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

0.18Best rating — anubis 13–8

13–1Biggest win — dust2

9Longest win streak

W3Current streak

8–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 79% over 19infernoWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	28	20–8	71%	0.05
mirage	S	19	15–4	79%	0.06
ancient	B	16	8–8	50%	0.04
nuke	B	13	6–7	46%	0.02
anubis	B	6	3–3	50%	0.04
cache	B	6	3–3	50%	-0.00
inferno	C	5	2–3	40%	0.04
overpass	—	4	4–0	100%	0.07
train	—	2	2–0	100%	0.07
office	—	1	1–0	100%	0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,030Lifetime kills

1.31K/D · Top 25% of Level 10 players

3,960Matches

54.6%Match win rate · Top 25% of Level 10 players

51.4%Headshot %

10.2%Shot accuracy

15,425MVPs

5,009Hours (in match)

2,358Bombs planted

1,969Bombs defused

Most-used weapons

AK-4741,884

M4A4 / M4A1-S24,054

AWP13,890

Desert Eagle6,847

P2000 / USP-S5,511

Glock-184,217

Galil AR2,695

Knife1,665

SSG 081,200

MP91,088

Lifetime map wins

12,742dust2

5,897inferno

1,890vertigo

1,757nuke

1,337office

1,274train

194cbble

94lake

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

Faceit stats

Combat

1,612Matches

54%Win rate

1.33Avg K/D

94.1ADR

47%Headshot %

Clutches & streaks

39%1v1 clutch win

29%1v2 clutch win

17Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	287	48%	1.25	18.3
Dust2	236	59%	1.48	20.8
Ancient	172	52%	1.39	19.8
Anubis	127	52%	1.30	19.3
Nuke	41	56%	1.28	18.3
Train	36	64%	1.48	20.4
Inferno	34	29%	1.35	19.1
Overpass	25	44%	1.27	21.0

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.

21.2%Headshot accuracy

37.1%Accuracy (enemy spotted)

39.6%Spray accuracy

84.8%Counter-strafing

8.2°Preaim

570msReaction time

37.4%T opening success

55.4%CT opening success

0.49Enemies flashed / flash

4.4%Flash assists

8.39HE 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.

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 0.4947 — 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 37.3744% — 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.

40% win rate across 5 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
ancient	13–8	0.06	14%	6 Aug →
mirage	13–8	-0.02	15%	6 Aug →
dust2	13–11	0.04	22%	6 Aug →
ancient	11–13	0.06	23%	5 Aug →
ancient	13–10	0.04	25%	31 Jul →
anubis	8–13	-0.07	15%	31 Jul →
dust2	10–13	0.04	16%	27 Jul →
mirage	13–4	0.04	23%	26 Jul →
mirage	13–8	0.00	25%	23 Jul →
cache	9–13	0.01	32%	15 Jul →
dust2	13–2	0.04	40%	15 Jul →
dust2	8–13	0.05	18%	15 Jul →
mirage	11–13	0.10	22%	14 Jul →
nuke	13–6	-0.00	26%	14 Jul →
anubis	13–8	0.18	19%	12 Jul →
cache	2–13	-0.07	12%	12 Jul →
mirage	13–3	0.07	25%	10 Jul →
ancient	6–13	0.06	16%	10 Jul →
cache	13–5	0.04	13%	9 Jul →
inferno	13–5	0.15	13%	9 Jul →
dust2	13–9	0.14	30%	5 Jul →
dust2	13–10	0.08	21%	5 Jul →
mirage	13–8	0.04	26%	5 Jul →
office	13–6	0.11	29%	3 Jul →
anubis	5–13	0.02	26%	3 Jul →
cache	13–10	-0.03	10%	3 Jul →
ancient	13–10	0.08	22%	29 Jun →
cache	10–13	-0.01	21%	29 Jun →
anubis	13–11	0.00	10%	28 Jun →
anubis	14–16	0.00	29%	6 Jun →
dust2	13–4	0.06	32%	5 Jun →
nuke	1–13	-0.06	29%	5 Jun →
dust2	13–3	0.00	24%	5 Jun →
inferno	6–13	-0.04	20%	5 Jun →
dust2	13–11	0.16	31%	4 Jun →
ancient	6–13	-0.01	15%	4 Jun →
nuke	4–13	0.10	30%	31 May →
dust2	13–5	0.05	24%	31 May →
dust2	4–13	0.01	30%	31 May →
dust2	4–8	0.04	30%	28 May →
nuke	16–14	0.05	17%	24 May →
dust2	13–9	0.06	27%	24 May →
inferno	14–16	0.07	19%	24 May →
dust2	13–1	0.13	24%	24 May →
nuke	12–6	0.07	34%	24 May →
dust2	13–10	0.07	22%	24 May →
nuke	13–10	0.03	23%	24 May →
mirage	5–13	0.02	25%	30 Apr →
mirage	13–7	0.03	23%	30 Apr →
cache	13–7	0.03	17%	30 Apr →
mirage	13–4	0.09	13%	30 Apr →
mirage	13–6	0.08	11%	16 Apr →
dust2	13–10	-0.01	20%	16 Apr →
mirage	13–5	0.15	28%	16 Apr →
ancient	13–4	0.07	25%	16 Apr →
mirage	13–4	0.09	20%	9 Apr →
overpass	13–8	0.05	26%	7 Apr →
mirage	19–22	0.05	32%	5 Apr →
dust2	19–17	-0.00	19%	4 Apr →
ancient	8–13	0.00	23%	1 Apr →
dust2	8–13	-0.00	24%	20 Mar →
mirage	13–7	0.11	11%	27 Feb →
anubis	13–8	0.10	22%	26 Feb →
ancient	3–13	-0.01	27%	18 Feb →
nuke	10–13	0.03	17%	18 Feb →
mirage	13–6	0.01	29%	17 Feb →
dust2	13–1	0.10	33%	3 Jan →
inferno	10–13	-0.01	12%	10 Dec →
nuke	13–11	-0.06	24%	9 Dec →
dust2	13–9	0.05	21%	8 Dec →
dust2	16–14	0.03	22%	7 Dec →
ancient	11–13	-0.04	18%	27 Nov →
overpass	13–10	0.03	14%	23 Nov →
nuke	12–16	-0.04	18%	23 Nov →
nuke	9–13	-0.02	19%	22 Nov →
ancient	13–10	0.07	29%	22 Nov →
dust2	16–14	-0.00	36%	14 Nov →
nuke	7–13	0.09	28%	13 Nov →
mirage	11–13	-0.01	35%	13 Nov →
mirage	13–5	0.11	24%	6 Nov →
ancient	7–13	0.09	25%	6 Nov →
ancient	13–10	0.02	14%	20 Oct →
train	13–10	0.05	23%	20 Oct →
nuke	13–10	-0.00	16%	20 Oct →
ancient	6–13	0.08	17%	20 Oct →
ancient	16–13	0.01	17%	20 Oct →
train	13–6	0.08	34%	16 Oct →
nuke	11–13	0.05	32%	16 Oct →
mirage	13–4	0.09	26%	15 Oct →
overpass	13–2	0.15	30%	13 Oct →
ancient	13–9	0.00	23%	11 Oct →
inferno	13–5	0.05	23%	11 Oct →
mirage	13–10	-0.00	26%	4 Oct →
dust2	7–3	0.00	0%	4 Oct →
overpass	13–8	0.06	21%	4 Oct →
dust2	2–13	0.07	21%	4 Oct →
dust2	13–10	-0.04	20%	1 Oct →
dust2	9–13	0.04	29%	28 Sept →
dust2	13–9	0.06	34%	22 Sept →
dust2	15–15	0.06	20%	22 Sept →