Ginga — CS2 Stats

76561198251942204[U:1:291676476]

1,415Tracked matches32%Win rate2020Tracked since

CSDB Rating6.6 SolidEntry Fragger

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning67

Utility53

0–100 skill scores via Leetify.

Recent form

COLD39–53–8Last 10039%Win rateTLLLWLWLLW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

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

Aim8.4

Aggression10.0

Utility5.3

Positioning6.7

Opening Duels6.6

Clutch1.0

Excellent counter-strafingStrong 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 s1mple 92% playstyle similarity

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

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

CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 69% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim8.4

Positioning6.7

Utility5.3

Mechanics8.8

Opening Duels6.6

Win Impact0.0

Composite 6.6/10 (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+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.04

Reaction time588ms+29ms

first ⅓ avg 559ms → last ⅓ avg 588ms

Headshot accuracy25.8%+3.3%

first ⅓ avg 22.5% → last ⅓ avg 25.8%

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 — mirage 13–8

13–1Biggest win — dust2

4Longest win streak

9–8In matches decided by ≤2 rounds

3Overtime games

Map breakdown

dust2Best map · 48% over 29overpassWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	14–15	48%	0.04
mirage	D	25	8–17	32%	0.05
inferno	C	16	7–9	44%	-0.00
nuke	D	8	2–6	25%	0.03
overpass	D	5	1–4	20%	0.01
cache	—	4	2–2	50%	0.07
train	—	4	3–1	75%	0.01
vertigo	—	3	0–3	0%	0.00
ancient	—	3	2–1	67%	0.03
anubis	—	2	0–2	0%	-0.00
debris	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

254Matches

52%Win rate

0.92Avg K/D

77.8ADR

45%Headshot %

Clutches & streaks

25%1v1 clutch win

50%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	3	100%	1.03	15.0
Nuke	1	100%	1.24	26.0
Dust2	1	100%	1.20	12.0

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.

25.8%Headshot accuracy

35.6%Accuracy (enemy spotted)

34.3%Spray accuracy

89.5%Counter-strafing

9.6°Preaim

581msReaction time

43.8%T opening success

69.4%CT opening success

0.47Enemies flashed / flash

5.4%Flash assists

12.80HE damage / grenade

6.79Flashes / 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 0.4677 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	12–12	0.05	17%	28 Aug →
mirage	4–13	0.04	29%	27 Aug →
dust2	7–13	0.06	19%	26 Aug →
cache	8–13	0.11	28%	26 Aug →
overpass	13–8	0.10	32%	17 Aug →
train	3–13	-0.01	24%	12 Aug →
train	13–9	0.04	34%	12 Aug →
inferno	5–13	-0.07	18%	10 Aug →
mirage	11–13	0.03	25%	10 Aug →
dust2	13–7	0.13	32%	8 Aug →
overpass	4–9	-0.04	21%	8 Aug →
debris	8–8	0.06	29%	8 Aug →
nuke	4–13	0.04	36%	8 Aug →
dust2	13–11	0.04	23%	7 Aug →
mirage	9–2	0.04	27%	7 Aug →
dust2	4–13	0.05	19%	7 Aug →
mirage	13–10	0.03	27%	7 Aug →
inferno	11–13	0.14	24%	7 Aug →
vertigo	8–13	-0.03	24%	7 Aug →
nuke	4–13	-0.08	19%	6 Aug →
dust2	13–3	0.12	28%	6 Aug →
mirage	13–3	0.14	28%	6 Aug →
mirage	5–13	-0.02	22%	6 Aug →
inferno	7–13	-0.05	23%	6 Aug →
nuke	13–11	0.11	35%	6 Aug →
nuke	12–12	0.06	25%	6 Aug →
mirage	11–13	0.00	30%	5 Aug →
mirage	7–13	0.04	20%	5 Aug →
dust2	11–13	0.06	19%	4 Aug →
mirage	7–13	0.02	39%	4 Aug →
anubis	5–13	0.02	25%	29 Jul →
dust2	8–13	-0.05	25%	29 Jul →
mirage	5–13	0.03	29%	27 Jul →
dust2	8–13	-0.09	24%	22 Jul →
ancient	13–8	0.06	33%	22 Jul →
mirage	7–13	-0.05	28%	18 Jul →
dust2	13–9	0.04	30%	18 Jul →
mirage	13–8	0.17	22%	18 Jul →
mirage	13–11	0.03	29%	17 Jul →
dust2	9–13	0.04	19%	17 Jul →
mirage	12–12	0.16	28%	16 Jul →
dust2	7–13	0.05	19%	16 Jul →
cache	4–13	0.02	35%	16 Jul →
mirage	1–13	-0.04	10%	10 Jul →
inferno	13–7	0.01	14%	9 Jul →
mirage	4–13	0.09	21%	9 Jul →
dust2	13–5	0.10	36%	9 Jul →
dust2	6–13	0.10	32%	8 Jul →
vertigo	11–13	-0.01	24%	4 Jul →
dust2	5–13	0.01	25%	4 Jul →
mirage	12–12	0.12	23%	1 Jul →
dust2	11–13	0.05	23%	29 Jun →
dust2	13–6	0.03	26%	29 Jun →
train	13–10	0.04	28%	29 Jun →
cache	13–4	0.12	30%	29 Jun →
mirage	7–13	0.02	27%	28 Jun →
overpass	6–13	-0.01	27%	28 Jun →
dust2	12–12	0.03	33%	28 Jun →
nuke	5–13	0.02	33%	28 Jun →
dust2	13–8	0.05	19%	27 Jun →
inferno	11–13	0.04	18%	27 Jun →
mirage	16–14	0.08	33%	27 Jun →
dust2	13–3	0.12	25%	27 Jun →
mirage	6–4	-0.04	33%	27 Jun →
nuke	13–11	0.07	21%	26 Jun →
nuke	3–13	-0.05	28%	26 Jun →
dust2	13–7	0.05	23%	26 Jun →
anubis	7–13	-0.02	27%	24 Jun →
ancient	13–5	0.11	42%	24 Jun →
dust2	13–4	-0.01	24%	24 Jun →
nuke	3–13	0.06	24%	24 Jun →
mirage	9–13	0.11	17%	24 Jun →
inferno	12–12	-0.03	12%	24 Jun →
dust2	7–13	0.03	25%	11 Jun →
inferno	13–10	0.03	24%	11 Jun →
cache	13–9	0.04	25%	10 Jun →
vertigo	4–13	0.04	17%	10 Jun →
mirage	7–13	0.08	29%	10 Jun →
overpass	12–16	-0.01	18%	10 Jun →
inferno	13–11	-0.04	18%	6 Jun →
dust2	13–7	0.02	30%	6 Jun →
inferno	0–9	-0.20	0%	5 Jun →
inferno	5–9	-0.10	12%	5 Jun →
inferno	13–11	0.00	26%	1 Jun →
dust2	10–13	0.03	16%	31 May →
mirage	13–9	0.08	24%	31 May →
mirage	8–13	-0.01	16%	30 May →
dust2	13–9	0.08	28%	30 May →
dust2	13–1	0.12	31%	27 May →
train	13–10	-0.02	41%	27 May →
inferno	13–7	0.08	18%	27 May →
mirage	8–13	0.02	29%	26 May →
overpass	11–13	-0.01	28%	26 May →
dust2	7–13	0.04	24%	23 May →
ancient	3–13	-0.07	24%	23 May →
inferno	16–14	0.03	35%	23 May →
dust2	13–7	-0.01	23%	23 May →
dust2	1–13	-0.06	14%	23 May →
inferno	12–12	0.08	23%	22 May →
inferno	4–0	0.00	0%	22 May →