GirlMaise — CS2 Stats

DK76561198994056578[U:1:1033790850]Steam profile ↗✓ No bans

3,114Tracked matches36%Win rate2020Tracked since

CSDB Rating3.5 Learning

Premier CS Rating12,152Blue band · top ~43.5% of ranked players (population est.)

CSDB Leaderboard#38919 of 57314 tracked

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim36

Positioning58

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateWWWWLLTLWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim3.6

Aggression8.4

Utility5.1

Positioning5.8

Opening Duels4.1

Clutch2.6

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 ropz 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher opening-fight frequency; 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.

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.6

Positioning5.8

Utility5.1

Mechanics2.0

Opening Duels4.1

Win Impact0.2

Composite 3.5/10 (Learning), 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 rating0.00−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time634ms−33ms

first ⅓ avg 667ms → last ⅓ avg 634ms

Headshot accuracy15.5%−1.6%

first ⅓ avg 17.1% → 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

0.16Best rating — eldorado 9–7

13–0Biggest win — nuke

5Longest win streak

W4Current streak

7–4In matches decided by ≤2 rounds

14Overtime games

Map breakdown

eldoradoBest map · 83% over 6ancientWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	30	12–18	40%	0.01
nuke	A	16	9–7	56%	-0.00
ancient	D	14	3–11	21%	-0.02
anubis	C	13	5–8	38%	0.00
cache	C	12	5–7	42%	0.01
eldorado	S	6	5–1	83%	0.02
dust2	—	3	1–2	33%	0.06
mirage	—	3	1–2	33%	-0.01
debris	—	1	0–1	0%	-0.07
vertigo	—	1	0–1	0%	0.02
train	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

114Matches

49%Win rate

1.08Avg K/D

84.1ADR

45%Headshot %

Clutches & streaks

33%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	24	71%	1.33	16.4
Mirage	18	44%	0.92	11.8
Inferno	18	39%	0.92	16.0
Ancient	15	47%	1.13	18.7
Anubis	15	27%	1.16	18.3
Cache	7	57%	1.02	14.7
Overpass	7	29%	0.96	14.4
Dust2	6	83%	0.98	11.2

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.

16.1%Headshot accuracy

33.7%Accuracy (enemy spotted)

35.6%Spray accuracy

59.0%Counter-strafing

12.1°Preaim

638msReaction time

42.3%T opening success

50.6%CT opening success

0.60Enemies flashed / flash

4.8%Flash assists

13.06HE damage / grenade

4.20Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0901° — above the 12° mark we flag
Aim Training →

Spend your practice time on Ancient

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	16–13	0.03	12%	29 Aug →
inferno	13–6	-0.06	17%	27 Aug →
nuke	13–6	0.06	24%	27 Aug →
nuke	13–0	-0.02	8%	27 Aug →
dust2	10–13	0.02	28%	26 Aug →
inferno	4–13	0.01	12%	26 Aug →
ancient	15–15	0.01	16%	25 Aug →
inferno	10–13	0.05	20%	25 Aug →
cache	13–10	0.03	24%	25 Aug →
eldorado	3–0	-0.08	0%	25 Aug →
nuke	6–13	0.03	21%	24 Aug →
eldorado	9–5	-0.02	22%	24 Aug →
cache	15–15	0.04	18%	23 Aug →
inferno	13–8	0.15	26%	23 Aug →
mirage	13–8	-0.00	18%	23 Aug →
ancient	16–14	-0.01	19%	20 Aug →
inferno	3–13	0.09	29%	20 Aug →
cache	13–3	-0.00	7%	20 Aug →
eldorado	9–7	0.16	15%	18 Aug →
cache	8–13	-0.08	11%	16 Aug →
nuke	9–13	-0.06	15%	16 Aug →
nuke	10–13	-0.01	13%	14 Aug →
ancient	1–13	-0.02	19%	14 Aug →
inferno	13–8	0.07	12%	13 Aug →
inferno	11–13	-0.00	17%	12 Aug →
anubis	2–13	0.02	11%	12 Aug →
anubis	6–13	-0.02	8%	11 Aug →
ancient	8–13	0.00	10%	11 Aug →
ancient	8–13	-0.03	5%	9 Aug →
ancient	2–13	-0.07	6%	8 Aug →
inferno	9–13	-0.04	17%	8 Aug →
cache	3–13	-0.08	14%	7 Aug →
ancient	5–13	-0.03	19%	6 Aug →
cache	13–2	0.07	28%	6 Aug →
inferno	13–8	0.00	21%	6 Aug →
inferno	8–13	-0.02	17%	5 Aug →
inferno	3–13	-0.04	9%	4 Aug →
ancient	13–3	0.00	19%	4 Aug →
inferno	13–16	-0.07	10%	3 Aug →
anubis	13–16	0.01	12%	2 Aug →
anubis	4–13	0.01	20%	1 Aug →
inferno	13–11	0.05	19%	1 Aug →
ancient	11–13	-0.03	8%	31 Jul →
inferno	9–13	-0.01	16%	31 Jul →
eldorado	9–7	-0.03	22%	31 Jul →
inferno	6–13	-0.04	16%	30 Jul →
nuke	13–2	-0.02	17%	28 Jul →
inferno	8–13	-0.10	9%	28 Jul →
nuke	11–13	0.02	13%	26 Jul →
nuke	13–10	0.03	15%	26 Jul →
mirage	7–13	0.03	14%	26 Jul →
cache	10–13	-0.06	7%	25 Jul →
inferno	5–13	-0.06	7%	25 Jul →
cache	3–13	0.04	23%	25 Jul →
anubis	13–11	-0.05	7%	25 Jul →
anubis	4–13	-0.03	23%	25 Jul →
anubis	13–6	-0.07	11%	25 Jul →
cache	4–13	-0.00	13%	25 Jul →
anubis	8–13	-0.03	10%	24 Jul →
ancient	13–10	0.04	13%	24 Jul →
cache	13–4	0.12	20%	24 Jul →
inferno	13–16	-0.01	20%	24 Jul →
inferno	10–13	0.04	16%	24 Jul →
eldorado	3–9	-0.04	40%	24 Jul →
ancient	12–16	-0.05	14%	23 Jul →
nuke	13–2	-0.00	6%	23 Jul →
inferno	12–16	-0.02	10%	23 Jul →
anubis	13–9	0.03	10%	22 Jul →
inferno	16–14	-0.02	11%	20 Jul →
nuke	9–13	0.01	16%	20 Jul →
inferno	7–9	-0.04	17%	19 Jul →
cache	12–16	-0.01	19%	17 Jul →
mirage	1–13	-0.05	32%	17 Jul →
anubis	13–7	0.06	16%	16 Jul →
dust2	13–6	0.15	18%	16 Jul →
anubis	8–13	0.08	8%	16 Jul →
ancient	7–13	-0.02	33%	16 Jul →
ancient	8–13	-0.02	9%	16 Jul →
nuke	13–6	0.04	9%	14 Jul →
inferno	13–3	0.04	12%	14 Jul →
nuke	15–15	0.00	12%	14 Jul →
nuke	13–7	0.02	17%	14 Jul →
nuke	13–8	-0.06	16%	14 Jul →
inferno	16–12	0.02	14%	13 Jul →
nuke	13–11	-0.01	16%	13 Jul →
anubis	13–10	0.02	18%	13 Jul →
ancient	6–13	-0.05	23%	12 Jul →
anubis	8–13	0.01	27%	12 Jul →
cache	13–10	0.09	15%	12 Jul →
inferno	13–9	0.06	9%	12 Jul →
eldorado	9–4	0.10	16%	12 Jul →
debris	2–9	-0.07	20%	12 Jul →
inferno	13–8	0.08	13%	11 Jul →
inferno	7–13	0.04	22%	11 Jul →
dust2	9–13	0.00	26%	9 Jul →
inferno	15–15	-0.00	15%	9 Jul →
nuke	7–13	-0.04	22%	7 Jul →
vertigo	7–13	0.02	14%	7 Jul →
train	2–13	0.02	16%	7 Jul →
inferno	13–6	0.05	22%	7 Jul →