CoinFarmer278 — CS2 Stats

76561198292017118[U:1:331751390]Steam profile ↗✓ No bans

1,039Tracked matches37%Win rate2020Tracked since

CSDB Rating5.8 SolidAggressive Rifler

Premier CS Rating23,164Top 50% of 819 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)

CSDB Leaderboard#5092 of 20703 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning57

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY41–52–7Last 10041%Win rateLLLWWLWWWL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

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

Aim7.9

Aggression8.8

Utility4.8

Positioning5.7

Opening Duels3.5

Clutch1.0

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 jL 90% 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

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 52% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim7.9

Positioning5.7

Utility4.8

Mechanics7.2

Opening Duels3.5

Win Impact0.6

Composite 5.8/10 (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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time630ms+9ms

first ⅓ avg 621ms → last ⅓ avg 630ms

Headshot accuracy25.2%+0.6%

first ⅓ avg 24.6% → last ⅓ avg 25.2%

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.

Highlights

0.23Best rating — nuke 7–0

13–2Biggest win — vertigo

5Longest win streak

L3Current streak

5–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

infernoBest map · 50% over 12cacheWeakest map · 14% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	19	9–10	47%	0.02
cache	D	14	2–12	14%	-0.01
inferno	B	12	6–6	50%	-0.00
ancient	C	10	4–6	40%	0.02
nuke	B	10	5–5	50%	0.04
anubis	D	10	3–7	30%	0.01
fachwerk	B	6	3–3	50%	0.08
boulder	—	4	2–2	50%	0.02
dust2	—	4	0–4	0%	0.02
vertigo	—	3	3–0	100%	0.07
italy	—	2	1–1	50%	0.07
office	—	2	0–2	0%	0.01
shelter	—	1	1–0	100%	0.12
overpass	—	1	1–0	100%	-0.04
train	—	1	0–1	0%	0.14
alpine	—	1	1–0	100%	0.15

Across the last 100 tracked matches.

Faceit stats

Combat

33Matches

55%Win rate

1.44Avg K/D

99.0ADR

43%Headshot %

Clutches & streaks

25%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Overpass	2	50%	1.53	21.0
Anubis	2	50%	2.14	22.0
Vertigo	1	100%	2.90	29.0
Nuke	1	0%	0.88	14.0
Mirage	1	100%	1.69	22.0
Ancient	1	100%	2.00	24.0
Inferno	1	0%	1.19	19.0

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.

24.6%Headshot accuracy

37.4%Accuracy (enemy spotted)

37.2%Spray accuracy

82.6%Counter-strafing

10.3°Preaim

620msReaction time

36.5%T opening success

51.8%CT opening success

0.48Enemies flashed / flash

6.6%Flash assists

10.15HE damage / grenade

5.32Flashes / 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 0.4783 — 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 36.4583% — below the 40% mark we flag

Spend your practice time on Cache

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

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

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	6–13	-0.05	24%	25 Aug →
ancient	7–13	-0.02	22%	25 Aug →
mirage	6–13	-0.05	12%	22 Aug →
ancient	13–10	0.05	16%	17 Aug →
vertigo	13–11	0.10	23%	16 Aug →
cache	7–13	-0.02	24%	14 Aug →
fachwerk	13–10	0.06	29%	14 Aug →
boulder	13–7	0.02	22%	14 Aug →
vertigo	13–2	0.13	24%	13 Aug →
fachwerk	8–13	0.02	41%	12 Aug →
vertigo	13–8	-0.01	31%	12 Aug →
ancient	4–13	-0.00	34%	12 Aug →
nuke	5–13	0.04	19%	11 Aug →
inferno	4–13	-0.06	27%	8 Aug →
anubis	5–13	0.00	15%	8 Aug →
nuke	6–13	0.05	21%	8 Aug →
boulder	10–13	0.06	21%	7 Aug →
fachwerk	13–5	0.15	33%	4 Aug →
anubis	6–13	-0.03	38%	4 Aug →
nuke	13–10	0.01	26%	3 Aug →
ancient	10–13	-0.06	12%	2 Aug →
italy	13–5	0.14	37%	2 Aug →
mirage	7–13	0.09	25%	2 Aug →
boulder	9–13	-0.01	28%	2 Aug →
boulder	13–5	0.03	23%	2 Aug →
mirage	9–13	-0.01	23%	2 Aug →
dust2	6–13	-0.04	19%	2 Aug →
shelter	13–10	0.12	24%	2 Aug →
mirage	4–13	0.03	31%	30 Jul →
dust2	8–13	0.05	20%	30 Jul →
fachwerk	13–11	0.20	33%	30 Jul →
cache	4–13	-0.05	28%	30 Jul →
fachwerk	11–13	-0.02	27%	30 Jul →
cache	9–13	-0.04	28%	29 Jul →
inferno	1–13	-0.09	11%	28 Jul →
inferno	4–0	0.01	18%	28 Jul →
mirage	15–15	0.07	20%	27 Jul →
anubis	6–13	0.01	29%	26 Jul →
nuke	13–8	0.07	35%	26 Jul →
anubis	13–9	-0.02	19%	26 Jul →
fachwerk	11–13	0.05	27%	25 Jul →
cache	5–13	0.05	20%	25 Jul →
mirage	13–10	0.08	23%	25 Jul →
inferno	7–13	-0.02	13%	25 Jul →
mirage	13–11	-0.04	23%	25 Jul →
anubis	13–9	0.04	12%	25 Jul →
anubis	6–13	0.08	29%	23 Jul →
ancient	10–13	-0.01	25%	22 Jul →
inferno	9–13	0.04	47%	22 Jul →
inferno	16–14	0.04	44%	21 Jul →
mirage	7–13	0.01	46%	21 Jul →
ancient	13–3	0.10	31%	20 Jul →
cache	11–13	0.01	17%	20 Jul →
cache	11–13	-0.03	29%	20 Jul →
inferno	13–10	-0.00	36%	20 Jul →
dust2	11–13	0.08	29%	20 Jul →
dust2	5–13	0.00	20%	20 Jul →
anubis	13–10	0.05	29%	20 Jul →
cache	3–13	-0.02	28%	19 Jul →
nuke	12–12	0.04	42%	19 Jul →
cache	13–8	0.02	19%	18 Jul →
ancient	13–9	0.01	38%	16 Jul →
mirage	13–5	0.10	35%	16 Jul →
inferno	16–14	-0.02	19%	15 Jul →
inferno	13–6	0.09	23%	15 Jul →
cache	6–13	-0.04	22%	15 Jul →
mirage	13–6	0.07	20%	15 Jul →
nuke	13–7	0.00	21%	15 Jul →
inferno	5–13	0.01	30%	14 Jul →
anubis	10–13	0.06	25%	14 Jul →
mirage	15–15	-0.01	26%	12 Jul →
mirage	10–13	0.02	24%	12 Jul →
nuke	15–15	-0.00	23%	11 Jul →
mirage	13–10	-0.02	23%	11 Jul →
ancient	14–16	0.04	23%	11 Jul →
inferno	13–10	0.02	31%	11 Jul →
nuke	10–13	0.02	23%	11 Jul →
cache	5–13	-0.04	22%	11 Jul →
nuke	6–3	-0.01	6%	11 Jul →
mirage	13–9	0.08	39%	11 Jul →
office	4–13	-0.04	50%	11 Jul →
italy	1–13	0.00	24%	11 Jul →
mirage	13–9	0.09	16%	9 Jul →
cache	13–6	-0.02	19%	8 Jul →
nuke	7–0	0.23	23%	8 Jul →
cache	12–12	-0.02	10%	8 Jul →
overpass	13–10	-0.04	12%	8 Jul →
anubis	12–12	0.01	16%	7 Jul →
mirage	9–13	0.02	28%	7 Jul →
ancient	13–8	0.06	45%	7 Jul →
train	9–13	0.14	28%	7 Jul →
cache	10–13	0.00	31%	7 Jul →
office	6–13	0.05	27%	6 Jul →
cache	12–12	0.02	22%	6 Jul →
mirage	13–7	-0.02	37%	6 Jul →
inferno	10–13	-0.04	14%	3 Jul →
ancient	4–13	0.01	20%	3 Jul →
anubis	14–16	-0.05	21%	3 Jul →
alpine	13–8	0.15	27%	2 Jul →
mirage	13–8	-0.01	27%	2 Jul →