Gina — CS2 Stats

76561198048735395[U:1:88469667]Steam profile ↗✓ No bans

6,977Tracked matches63%Win rate2020Tracked since

CSDB Rating5.1 Developing

Premier CS Rating15,736Purple band · top ~25.5% of ranked players (population est.)

CSDB Leaderboard#7914 of 12579 tracked

FaceitLevel 3 · 938 ELOTop 90.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning47

Utility33

0–100 skill scores via Leetify.

Recent form

HOT51–45–4Last 10051%Win rateWWLWWWWLWL

Last 10 vs previous 10: +30pp win rate · -0.03 avg rating

Player DNA

Aim5.9

Aggression3.9

Utility3.3

Positioning4.7

Opening Duels0.0

Clutch4.4

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 79% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 638ms 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

Aim5.9

Positioning4.7

Utility3.3

Mechanics6.3

Opening Duels0.4

Win Impact9.3

Composite 5.1/10 (Developing), 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 rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time638ms−13ms

first ⅓ avg 651ms → last ⅓ avg 638ms

Headshot accuracy17.5%−3.1%

first ⅓ avg 20.6% → last ⅓ avg 17.5%

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

0.16Best rating — inferno 13–0

13–0Biggest win — inferno

4Longest win streak

W2Current streak

9–18In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 56% over 16dust2Weakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
anubis	A	16	9–7	56%	-0.01
ancient	A	16	9–7	56%	-0.04
cache	B	15	8–7	53%	-0.02
nuke	B	15	7–8	47%	-0.03
inferno	B	14	7–7	50%	-0.01
dust2	C	13	5–8	38%	-0.04
mirage	A	11	6–5	55%	-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,723Matches

49%Win rate

0.89Avg K/D

68.8ADR

41%Headshot %

Clutches & streaks

42%1v1 clutch win

20%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	184	45%	0.83	13.1
Ancient	173	52%	0.88	13.2
Anubis	170	52%	0.89	13.8
Nuke	165	56%	0.93	13.9
Inferno	141	43%	0.82	13.1
Dust2	126	55%	0.88	13.8
Vertigo	100	44%	0.82	13.3
Overpass	46	50%	0.79	12.8

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.

16.7%Headshot accuracy

35.2%Accuracy (enemy spotted)

37.1%Spray accuracy

78.5%Counter-strafing

11.2°Preaim

638msReaction time

33.5%T opening success

24.4%CT opening success

0.43Enemies flashed / flash

1.4%Flash assists

8.52HE damage / grenade

2.58Flashes / 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 0.4256 — 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 33.5056% — below the 40% mark we flag

Spend your practice time on Dust 2

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 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–10	-0.04	10%	27 Aug →
anubis	13–3	-0.01	10%	27 Aug →
inferno	8–13	0.01	27%	27 Aug →
nuke	13–7	0.01	14%	27 Aug →
ancient	13–11	-0.07	18%	27 Aug →
ancient	13–10	-0.09	18%	26 Aug →
mirage	13–9	-0.00	11%	26 Aug →
cache	11–13	-0.07	16%	26 Aug →
dust2	13–3	-0.08	23%	26 Aug →
dust2	11–13	-0.03	22%	25 Aug →
inferno	14–16	-0.06	11%	24 Aug →
cache	14–16	-0.03	12%	24 Aug →
cache	11–13	0.01	21%	22 Aug →
mirage	13–8	-0.05	23%	22 Aug →
nuke	15–15	-0.05	17%	21 Aug →
anubis	15–15	-0.05	13%	21 Aug →
mirage	16–14	0.08	19%	20 Aug →
ancient	11–13	0.05	18%	20 Aug →
cache	13–11	0.07	12%	20 Aug →
anubis	13–11	-0.03	15%	19 Aug →
inferno	13–0	0.16	26%	19 Aug →
anubis	14–16	0.01	11%	19 Aug →
dust2	15–15	-0.03	12%	18 Aug →
nuke	13–7	-0.02	19%	17 Aug →
ancient	13–7	0.02	24%	17 Aug →
dust2	13–2	0.01	17%	17 Aug →
nuke	5–13	-0.06	16%	17 Aug →
ancient	13–8	-0.08	20%	17 Aug →
nuke	13–6	0.03	27%	17 Aug →
dust2	14–16	-0.09	15%	16 Aug →
inferno	16–14	-0.04	29%	15 Aug →
cache	13–11	-0.08	19%	14 Aug →
anubis	13–8	-0.04	14%	11 Aug →
dust2	4–13	-0.06	13%	11 Aug →
inferno	7–13	-0.03	25%	11 Aug →
inferno	13–8	-0.00	25%	10 Aug →
anubis	11–13	-0.02	21%	10 Aug →
dust2	14–16	-0.01	16%	8 Aug →
ancient	7–13	-0.05	10%	7 Aug →
mirage	13–11	-0.04	18%	7 Aug →
ancient	16–14	-0.03	18%	7 Aug →
nuke	7–13	-0.00	27%	7 Aug →
anubis	13–7	0.00	23%	7 Aug →
dust2	13–10	-0.05	15%	6 Aug →
nuke	5–13	-0.05	19%	6 Aug →
cache	7–13	-0.07	35%	5 Aug →
inferno	13–9	-0.05	24%	5 Aug →
mirage	9–13	0.03	18%	4 Aug →
ancient	11–13	-0.06	16%	4 Aug →
dust2	13–7	0.01	20%	4 Aug →
ancient	11–13	-0.05	10%	3 Aug →
mirage	13–4	-0.03	7%	3 Aug →
cache	13–3	0.03	18%	3 Aug →
inferno	13–4	-0.04	21%	3 Aug →
nuke	9–13	-0.03	29%	2 Aug →
nuke	13–9	-0.06	39%	2 Aug →
anubis	16–12	0.00	26%	2 Aug →
nuke	7–13	-0.07	16%	2 Aug →
dust2	6–13	-0.07	16%	31 Jul →
anubis	13–4	0.05	18%	31 Jul →
inferno	13–8	0.02	21%	31 Jul →
nuke	13–10	0.01	17%	31 Jul →
cache	10–13	-0.06	5%	29 Jul →
inferno	11–13	-0.04	16%	29 Jul →
inferno	11–13	-0.05	35%	28 Jul →
cache	13–6	-0.02	23%	28 Jul →
mirage	13–8	-0.06	21%	28 Jul →
anubis	6–13	-0.06	9%	28 Jul →
dust2	8–13	-0.09	37%	28 Jul →
cache	8–13	-0.07	23%	28 Jul →
nuke	13–7	0.03	19%	27 Jul →
mirage	11–13	-0.05	20%	27 Jul →
anubis	13–2	0.00	32%	27 Jul →
nuke	13–10	0.01	31%	27 Jul →
ancient	10–13	-0.05	21%	27 Jul →
cache	13–8	0.02	27%	26 Jul →
dust2	13–8	-0.04	16%	26 Jul →
inferno	11–13	-0.04	34%	26 Jul →
cache	13–6	0.05	17%	26 Jul →
anubis	6–13	-0.03	17%	26 Jul →
dust2	15–15	-0.06	15%	26 Jul →
ancient	13–9	-0.03	19%	26 Jul →
inferno	13–5	0.01	15%	25 Jul →
mirage	2–13	-0.10	32%	25 Jul →
nuke	10–13	-0.11	5%	25 Jul →
anubis	11–13	-0.05	28%	25 Jul →
ancient	13–11	0.01	20%	25 Jul →
cache	13–10	0.03	11%	24 Jul →
ancient	13–7	-0.01	19%	24 Jul →
mirage	11–13	0.00	17%	24 Jul →
anubis	13–3	0.05	21%	24 Jul →
ancient	5–13	-0.08	18%	24 Jul →
mirage	7–13	-0.02	15%	24 Jul →
anubis	13–6	0.01	31%	24 Jul →
nuke	5–13	-0.03	19%	24 Jul →
cache	0–13	-0.09	16%	24 Jul →
ancient	13–7	-0.04	15%	23 Jul →
inferno	10–13	0.04	29%	23 Jul →
ancient	8–13	-0.02	18%	23 Jul →
anubis	2–13	-0.03	14%	23 Jul →