girthy flexer — CS2 Stats

76561198244891572[U:1:284625844]Steam profile ↗

484Tracked matches43%Win rate2024Tracked since

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating11,691Blue band · top ~45.9% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning67

Utility42

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateLLLWLWLWLL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

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

Aim8.7

Aggression8.7

Utility4.2

Positioning6.7

Opening Duels4.7

Sharp aimerExcellent 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 donk 92% playstyle similarity

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

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 87 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.5° off target when enemies appear — placement, not flicking, is the bigger win available.

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 59% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms 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

Aim8.7

Positioning6.7

Utility4.2

Mechanics8.6

Opening Duels4.7

Win Impact2.8

Composite 6.3/10 (Solid), 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 rating0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time628ms−20ms

first ⅓ avg 648ms → last ⅓ avg 628ms

Headshot accuracy30.0%−0.3%

first ⅓ avg 30.3% → last ⅓ avg 30.0%

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 — anubis 8–13

13–1Biggest win — cache

5Longest win streak

L3Current streak

7–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

infernoBest map · 57% over 7anubisWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	17	9–8	53%	0.03
dust2	C	16	6–10	38%	0.01
ancient	B	15	7–8	47%	0.01
anubis	D	14	3–11	21%	0.01
nuke	B	13	7–6	54%	0.01
cache	B	10	5–5	50%	0.02
inferno	A	7	4–3	57%	0.01
vertigo	—	2	1–1	50%	-0.02
train	—	2	2–0	100%	0.01
overpass	—	2	1–1	50%	0.01
shelter	—	1	0–1	0%	-0.04
boulder	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

30.0%Headshot accuracy

39.1%Accuracy (enemy spotted)

35.6%Spray accuracy

88.5%Counter-strafing

10.5°Preaim

616msReaction time

39.1%T opening success

58.8%CT opening success

0.46Enemies flashed / flash

5.4%Flash assists

9.04HE damage / grenade

6.20Flashes / 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.

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 0.4582 — 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 39.0849% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	8–13	-0.04	29%	26 Aug →
dust2	8–13	-0.04	16%	26 Aug →
dust2	7–13	-0.03	24%	21 Aug →
dust2	13–5	0.02	40%	19 Aug →
ancient	1–13	-0.08	16%	19 Aug →
cache	13–4	0.06	28%	18 Aug →
anubis	10–13	0.04	26%	17 Aug →
ancient	13–11	0.02	18%	16 Aug →
inferno	2–13	-0.06	24%	15 Aug →
ancient	11–13	0.05	23%	15 Aug →
dust2	7–13	0.05	30%	15 Aug →
mirage	7–13	-0.01	32%	14 Aug →
mirage	13–8	0.02	30%	14 Aug →
dust2	4–13	-0.06	27%	14 Aug →
mirage	13–8	0.01	37%	14 Aug →
nuke	8–13	-0.00	36%	14 Aug →
nuke	16–14	0.03	27%	11 Aug →
mirage	3–13	-0.04	23%	9 Aug →
anubis	7–13	-0.02	33%	9 Aug →
mirage	13–11	0.03	29%	5 Aug →
cache	13–3	0.03	28%	5 Aug →
mirage	7–13	-0.04	17%	5 Aug →
ancient	13–9	0.00	30%	5 Aug →
inferno	13–2	0.05	38%	5 Aug →
ancient	13–4	0.03	27%	3 Aug →
nuke	13–8	-0.02	33%	3 Aug →
ancient	9–13	-0.04	64%	2 Aug →
anubis	8–13	0.16	39%	2 Aug →
dust2	13–11	0.04	43%	2 Aug →
anubis	5–13	-0.06	27%	30 Jul →
nuke	11–13	0.01	36%	30 Jul →
ancient	13–9	0.05	30%	30 Jul →
vertigo	11–13	-0.00	31%	30 Jul →
nuke	6–13	-0.06	26%	30 Jul →
dust2	11–13	-0.03	30%	30 Jul →
mirage	13–6	0.11	47%	29 Jul →
nuke	13–7	0.05	31%	29 Jul →
anubis	16–13	0.00	23%	29 Jul →
inferno	13–9	0.13	36%	29 Jul →
dust2	13–8	0.10	31%	28 Jul →
anubis	9–13	0.07	20%	28 Jul →
dust2	10–13	0.05	35%	28 Jul →
ancient	9–13	-0.04	22%	28 Jul →
mirage	13–7	0.01	46%	27 Jul →
dust2	8–13	0.00	20%	27 Jul →
inferno	13–5	0.10	40%	25 Jul →
nuke	13–4	0.11	34%	25 Jul →
cache	11–13	-0.09	33%	24 Jul →
anubis	11–13	0.07	36%	24 Jul →
nuke	8–13	-0.04	27%	24 Jul →
train	13–10	-0.06	45%	24 Jul →
overpass	8–13	-0.04	29%	24 Jul →
dust2	13–8	-0.02	23%	23 Jul →
anubis	6–13	-0.07	23%	23 Jul →
mirage	13–2	0.13	37%	23 Jul →
shelter	10–13	-0.04	30%	21 Jul →
anubis	16–14	0.07	42%	21 Jul →
nuke	13–4	0.04	50%	21 Jul →
mirage	5–13	0.06	26%	20 Jul →
dust2	11–13	-0.00	40%	20 Jul →
cache	13–3	0.04	25%	19 Jul →
nuke	13–8	-0.03	37%	19 Jul →
anubis	6–13	-0.06	35%	19 Jul →
inferno	13–4	-0.07	18%	19 Jul →
ancient	8–13	-0.07	20%	18 Jul →
dust2	5–13	-0.01	33%	18 Jul →
inferno	5–13	-0.01	36%	18 Jul →
nuke	7–13	0.00	30%	17 Jul →
dust2	13–10	0.00	27%	17 Jul →
cache	11–13	0.00	33%	17 Jul →
mirage	13–9	0.08	30%	17 Jul →
mirage	12–12	0.01	45%	17 Jul →
nuke	13–9	0.00	26%	17 Jul →
mirage	13–6	-0.07	26%	16 Jul →
cache	13–1	0.02	27%	16 Jul →
anubis	15–15	0.01	28%	16 Jul →
mirage	11–13	0.01	23%	15 Jul →
cache	11–13	-0.05	20%	14 Jul →
dust2	12–16	0.02	25%	14 Jul →
mirage	8–13	0.02	33%	12 Jul →
boulder	12–12	-0.01	35%	10 Jul →
nuke	6–13	-0.02	29%	9 Jul →
dust2	13–8	0.10	31%	9 Jul →
cache	7–13	0.07	30%	8 Jul →
vertigo	13–9	-0.04	32%	8 Jul →
cache	13–5	0.12	46%	8 Jul →
overpass	13–10	0.06	36%	8 Jul →
cache	5–13	-0.06	29%	8 Jul →
mirage	8–13	-0.04	31%	5 Jul →
ancient	13–9	0.03	28%	2 Jul →
ancient	13–8	0.06	32%	1 Jul →
mirage	13–2	0.13	37%	1 Jul →
ancient	13–1	0.15	32%	1 Jul →
ancient	13–16	0.07	33%	28 Jun →
anubis	4–13	-0.03	21%	25 Jun →
ancient	7–13	-0.02	22%	25 Jun →
inferno	9–13	-0.06	17%	25 Jun →
train	4–4	0.07	38%	23 Jun →
anubis	16–14	0.03	35%	20 Jun →
ancient	10–13	0.00	31%	19 Jun →