capybaralover14 — CS2 Stats

US76561198247785266[U:1:287519538]Steam profile ↗

486Tracked matches70%Win rate2020Tracked since

CSDB Rating5.7 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim79

Positioning63

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY60–39–1Last 10060%Win rateLLWWLLWWLW

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.9

Aggression6.0

Utility3.7

Positioning6.3

Opening Duels3.4

Clutch3.2

Strong 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 ropz 89% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: 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

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 57% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.9

Positioning6.3

Utility3.7

Mechanics5.5

Opening Duels3.4

Win Impact10.0

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time524ms−25ms

first ⅓ avg 549ms → last ⅓ avg 524ms

Headshot accuracy30.4%−0.5%

first ⅓ avg 30.9% → last ⅓ avg 30.4%

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

0.14Best rating — ancient 13–7

13–2Biggest win — cache

9Longest win streak

L2Current streak

11–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 71% over 7overpassWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
ancient	S	26	18–8	69%	0.02
anubis	A	22	13–9	59%	-0.00
mirage	B	13	6–7	46%	0.01
cache	S	12	8–4	67%	0.04
nuke	C	9	4–5	44%	0.02
inferno	S	7	5–2	71%	0.02
overpass	C	5	2–3	40%	0.03
dust2	—	3	1–2	33%	0.01
office	—	2	2–0	100%	0.06
fachwerk	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

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

Faceit stats

Combat

356Matches

52%Win rate

1.20Avg K/D

87.0ADR

58%Headshot %

Clutches & streaks

36%1v1 clutch win

28%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	75	40%	1.21	19.2
Ancient	71	65%	1.30	19.0
Nuke	49	55%	1.15	18.2
Anubis	46	61%	1.20	17.4
Dust2	44	48%	1.09	17.7
Overpass	24	42%	1.17	17.5
Cache	19	47%	1.15	17.9
Inferno	17	59%	1.39	20.3

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.

29.2%Headshot accuracy

33.7%Accuracy (enemy spotted)

31.3%Spray accuracy

74.6%Counter-strafing

9.6°Preaim

524msReaction time

29.8%T opening success

57.2%CT opening success

0.47Enemies flashed / flash

3.6%Flash assists

6.13HE damage / grenade

7.30Flashes / 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 0.4737 — 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 29.7859% — below the 40% mark we flag

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.

40% 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
anubis	5–13	-0.07	11%	18 Aug →
ancient	9–13	0.02	30%	12 Aug →
ancient	13–7	0.14	45%	11 Aug →
inferno	13–8	-0.02	31%	9 Aug →
inferno	6–13	-0.02	25%	6 Aug →
mirage	5–13	0.05	29%	6 Aug →
anubis	13–7	-0.02	18%	4 Aug →
mirage	13–8	0.06	20%	2 Aug →
anubis	6–13	-0.02	27%	31 Jul →
ancient	13–4	0.03	33%	28 Jul →
anubis	13–16	-0.03	28%	26 Jul →
inferno	13–4	-0.01	23%	26 Jul →
ancient	13–6	0.01	16%	23 Jul →
anubis	13–5	0.06	30%	16 Jul →
ancient	13–10	0.06	41%	13 Jul →
anubis	16–13	-0.03	19%	12 Jul →
inferno	13–9	0.04	30%	12 Jul →
office	13–11	0.02	43%	9 Jul →
fachwerk	13–8	0.10	29%	9 Jul →
nuke	13–9	0.10	38%	8 Jul →
mirage	5–13	-0.07	50%	7 Jul →
nuke	11–13	0.02	27%	6 Jul →
dust2	13–9	-0.03	20%	6 Jul →
office	13–4	0.10	41%	6 Jul →
ancient	6–13	0.01	32%	30 Jun →
ancient	13–10	0.03	21%	30 Jun →
anubis	13–3	-0.03	34%	26 Jun →
anubis	13–10	0.03	38%	25 Jun →
nuke	13–10	0.03	27%	25 Jun →
ancient	13–6	0.06	21%	24 Jun →
anubis	9–13	-0.01	51%	23 Jun →
anubis	9–13	-0.01	42%	20 Jun →
mirage	13–11	-0.01	32%	20 Jun →
nuke	13–8	0.02	31%	20 Jun →
ancient	10–13	-0.03	24%	20 Jun →
ancient	13–9	-0.02	29%	17 Jun →
mirage	11–13	-0.05	37%	16 Jun →
ancient	13–10	0.06	29%	13 Jun →
ancient	4–13	-0.02	20%	11 Jun →
ancient	16–14	-0.02	38%	11 Jun →
cache	13–4	0.01	24%	11 Jun →
ancient	16–13	-0.02	22%	9 Jun →
mirage	10–13	-0.01	21%	9 Jun →
anubis	5–13	0.03	30%	9 Jun →
nuke	13–8	0.05	38%	9 Jun →
ancient	13–6	0.03	38%	9 Jun →
ancient	16–14	0.05	34%	8 Jun →
nuke	7–13	-0.09	11%	8 Jun →
anubis	8–13	-0.04	15%	5 Jun →
ancient	3–13	-0.08	21%	5 Jun →
ancient	9–13	0.04	22%	5 Jun →
mirage	13–10	-0.01	26%	5 Jun →
overpass	10–13	0.04	28%	5 Jun →
anubis	5–13	-0.05	32%	5 Jun →
inferno	4–13	-0.04	10%	5 Jun →
nuke	8–13	0.02	21%	4 Jun →
anubis	6–13	0.03	24%	4 Jun →
mirage	3–13	-0.01	29%	4 Jun →
overpass	8–13	0.00	25%	4 Jun →
ancient	13–11	0.02	28%	3 Jun →
ancient	13–11	0.02	31%	3 Jun →
ancient	13–3	0.02	22%	3 Jun →
ancient	10–13	-0.02	18%	31 May →
anubis	13–9	0.01	31%	31 May →
anubis	13–7	0.05	26%	30 May →
ancient	11–13	-0.01	18%	27 May →
overpass	7–13	0.01	16%	26 May →
inferno	13–8	0.14	26%	25 May →
anubis	13–10	0.01	28%	25 May →
anubis	13–4	0.02	22%	25 May →
dust2	11–13	0.04	33%	24 May →
nuke	9–13	-0.01	26%	24 May →
inferno	13–3	0.05	52%	24 May →
mirage	13–11	0.04	29%	24 May →
cache	7–13	0.00	46%	24 May →
cache	13–10	0.12	32%	24 May →
cache	13–3	0.07	30%	23 May →
cache	13–10	0.01	23%	23 May →
cache	13–2	0.12	33%	23 May →
cache	13–5	0.05	29%	22 May →
cache	12–12	0.03	28%	22 May →
cache	2–13	0.02	34%	22 May →
cache	13–9	0.09	31%	22 May →
overpass	13–5	0.09	30%	21 May →
mirage	11–13	0.03	28%	21 May →
overpass	13–7	-0.00	31%	20 May →
anubis	13–6	0.05	44%	19 May →
nuke	14–16	0.02	25%	14 May →
ancient	19–17	0.06	41%	13 May →
ancient	13–11	0.07	31%	12 May →
anubis	13–6	-0.02	14%	11 May →
cache	13–4	0.05	35%	11 May →
ancient	16–14	-0.00	36%	11 May →
mirage	13–6	0.06	22%	11 May →
anubis	13–7	0.02	24%	10 May →
cache	5–13	-0.07	33%	10 May →
anubis	13–9	0.03	38%	9 May →
dust2	10–13	0.04	18%	9 May →
mirage	13–11	0.05	29%	9 May →
mirage	9–13	0.02	38%	7 May →