Rinney | CSFIT — CS2 Stats

76561198294067556[U:1:333801828]Steam profile ↗1 game ban

571Tracked matches46%Win rate2023Tracked since

CSDB Rating6.8 SolidPositional Player

Premier CS Rating20,244Top 50% of 212,910 CSDB-tracked playersPink band · top ~8.2% of ranked players (population est.)

CSDB Leaderboard#79692 of 259662 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

−236Premier CS Rating · 20,480 → 20,244

Rating over time

Premier CS Rating: 20,244 +6,428 26 Sept – 3 Nov · 13 days played

20,480Peak Premier in tracked matches

21Days played since 2026-09-26

Premier CS Rating

236 below peak (20,480)
Next: Red band at 25,000 — 4,756 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Blue band first seen 2026-09-26
Light Blue band first seen 2026-09-26

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim90

Positioning69

Utility31

0–100 skill scores via Leetify.

Recent form

STEADY47–43–10Last 10047%Win rateLLWWWLLWLW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · −2.6pp headshot accuracy · −48ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.08
Avg headshot accuracy 16%
Avg reaction 551ms

Last 10

5–5 · 50% win rate
Avg rating 0.05
Avg headshot accuracy 18%
Avg reaction 559ms

Last 20

7–11–2 · 35% win rate
Avg rating 0.03
Avg headshot accuracy 19%
Avg reaction 583ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim9.0

Utility3.1

Positioning6.9

Opening Duels5.8

Clutch5.4

Sharp aimerStrong CT-side openerLimited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like donk 84% playstyle similarity

Most alike: opening-duel success, aim profile.

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 90 — the mechanical foundation is a clear strength.

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. 550ms 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

Aim9.0

Positioning6.9

Utility3.1

Mechanics7.0

Opening Duels6.6

Win Impact3.7

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time570ms−2ms

first ⅓ avg 572ms → last ⅓ avg 570ms

Headshot accuracy19.2%+6.2%

first ⅓ avg 13.0% → last ⅓ avg 19.2%

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.

Personal bests

0.17Best match rating · 13–3 · ancient, 23 Oct →

33%Best headshot accuracy · 11–13 · office, 28 Oct →

359msFastest reaction time · 11–13 · office, 28 Oct →

13–0Biggest win · dust2, 22 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L2Current streak

4–10In matches decided by ≤2 rounds

1Overtime games

Map breakdown

ancientBest map · 67% over 9mirageWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	31	16–15	52%	0.02
cache	B	15	8–7	53%	0.02
ancient	S	9	6–3	67%	0.05
office	D	8	2–6	25%	0.03
inferno	D	8	2–6	25%	-0.00
dust2	C	7	3–4	43%	0.03
mirage	D	6	1–5	17%	0.01
vertigo	B	6	3–3	50%	0.06
overpass	A	5	3–2	60%	0.02
anubis	—	3	1–2	33%	-0.01
fachwerk	—	1	1–0	100%	-0.01
train	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

24Matches

58%Win rate

0.96Avg K/D

75.9ADR

41%Headshot %

Clutches & streaks

47%1v1 clutch win

12%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	6	67%	0.91	13.3
Cache	4	75%	1.02	11.5
Nuke	4	50%	0.80	14.3
Anubis	3	33%	0.88	11.3
Mirage	3	67%	1.35	17.0
Inferno	3	33%	1.01	13.3
Dust2	1	100%	0.54	7.0

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.

18.8%Headshot accuracy

39.8%Accuracy (enemy spotted)

45.0%Spray accuracy

81.5%Counter-strafing

7.1°Preaim

550msReaction time

44.2%T opening success

68.5%CT opening success

0.39Enemies flashed / flash

2.6%Flash assists

7.15HE damage / grenade

3.50Flashes / 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 0.3944 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	11–13	0.01	8%	3 Nov →
nuke	7–13	0.14	9%	3 Nov →
office	13–10	0.12	22%	2 Nov →
cache	8–0	-0.01	18%	2 Nov →
nuke	13–6	0.14	25%	2 Nov →
cache	10–13	0.11	23%	2 Nov →
office	11–13	-0.04	14%	2 Nov →
nuke	13–9	-0.00	13%	31 Oct →
cache	1–7	-0.05	25%	31 Oct →
overpass	13–11	0.05	19%	31 Oct →
ancient	13–7	0.06	9%	31 Oct →
nuke	12–12	-0.00	33%	31 Oct →
nuke	9–13	0.03	21%	31 Oct →
nuke	13–9	0.10	23%	31 Oct →
cache	8–13	-0.06	6%	31 Oct →
nuke	9–13	-0.03	21%	30 Oct →
cache	12–12	0.04	25%	30 Oct →
nuke	0–3	-0.04	29%	30 Oct →
ancient	4–13	-0.06	22%	30 Oct →
office	8–13	-0.01	16%	29 Oct →
ancient	12–12	0.06	12%	28 Oct →
overpass	13–5	-0.03	18%	28 Oct →
nuke	8–8	0.06	30%	28 Oct →
cache	13–7	0.01	13%	28 Oct →
office	11–13	-0.00	33%	28 Oct →
nuke	7–13	-0.02	15%	28 Oct →
nuke	13–9	-0.12	20%	27 Oct →
cache	13–4	0.10	11%	27 Oct →
nuke	11–13	0.00	15%	27 Oct →
dust2	13–4	0.06	21%	27 Oct →
overpass	12–12	-0.06	32%	27 Oct →
mirage	13–4	0.04	17%	26 Oct →
nuke	13–11	-0.07	16%	25 Oct →
inferno	5–13	-0.07	13%	25 Oct →
ancient	13–11	0.00	4%	25 Oct →
ancient	13–8	0.04	17%	24 Oct →
inferno	13–2	0.00	0%	24 Oct →
dust2	7–13	0.00	20%	24 Oct →
fachwerk	13–3	-0.01	16%	24 Oct →
nuke	13–10	0.05	20%	24 Oct →
nuke	5–1	-0.05	22%	24 Oct →
vertigo	9–13	0.09	22%	24 Oct →
nuke	11–13	-0.06	9%	24 Oct →
cache	13–5	0.07	24%	24 Oct →
vertigo	13–6	0.07	18%	24 Oct →
vertigo	13–3	0.07	21%	24 Oct →
ancient	13–3	0.17	21%	23 Oct →
anubis	10–13	-0.06	24%	23 Oct →
cache	13–7	0.02	30%	23 Oct →
cache	16–14	0.05	15%	22 Oct →
dust2	13–0	0.09	16%	22 Oct →
ancient	13–5	0.01	16%	21 Oct →
cache	2–4	-0.08	29%	21 Oct →
inferno	12–12	0.01	20%	21 Oct →
mirage	11–13	0.07	18%	21 Oct →
inferno	4–13	-0.01	19%	21 Oct →
ancient	13–8	0.12	20%	21 Oct →
dust2	8–13	-0.09	14%	21 Oct →
cache	6–13	-0.01	17%	20 Oct →
nuke	13–3	0.08	19%	20 Oct →
ancient	2–13	0.06	19%	20 Oct →
vertigo	12–12	0.02	21%	20 Oct →
dust2	12–12	0.10	16%	18 Oct →
office	11–13	0.03	13%	17 Oct →
vertigo	12–12	0.04	27%	17 Oct →
nuke	4–13	0.06	19%	17 Oct →
office	11–2	0.16	10%	17 Oct →
overpass	13–10	0.09	11%	17 Oct →
train	13–8	0.07	12%	17 Oct →
nuke	7–13	0.11	16%	17 Oct →
mirage	7–13	-0.00	15%	17 Oct →
nuke	7–13	0.06	22%	17 Oct →
nuke	13–8	0.06	13%	16 Oct →
nuke	13–7	0.02	11%	16 Oct →
nuke	13–8	-0.03	13%	16 Oct →
nuke	13–6	0.01	13%	16 Oct →
inferno	7–13	-0.05	24%	16 Oct →
dust2	13–5	0.04	15%	16 Oct →
anubis	13–10	0.01	5%	16 Oct →
nuke	13–6	0.09	13%	16 Oct →
inferno	10–13	0.06	13%	15 Oct →
cache	13–4	0.04	4%	15 Oct →
inferno	13–4	-0.01	8%	15 Oct →
nuke	11–13	-0.01	7%	15 Oct →
mirage	7–13	-0.04	6%	14 Oct →
inferno	12–12	0.05	18%	14 Oct →
office	11–13	-0.05	14%	14 Oct →
nuke	4–13	-0.05	17%	14 Oct →
mirage	8–13	-0.02	10%	14 Oct →
cache	13–10	0.04	14%	13 Oct →
nuke	13–10	0.07	28%	13 Oct →
nuke	1–8	-0.09	0%	13 Oct →
overpass	6–13	0.03	14%	13 Oct →
dust2	7–13	-0.00	18%	13 Oct →
cache	8–13	0.03	14%	10 Oct →
vertigo	13–3	0.03	11%	10 Oct →
nuke	13–5	0.02	12%	10 Oct →
office	7–13	0.05	8%	10 Oct →
mirage	10–13	0.01	19%	10 Oct →
nuke	7–0	-0.00	11%	10 Oct →