Fisttoass — CS2 Stats

76561197997096489[U:1:36830761]Steam profile ↗✓ No bans

794Tracked matches48%Win rate2023Tracked since

CSDB Rating5.3 DevelopingHybrid Rifler

Premier CS Rating10,888Blue band · top ~50.2% of ranked players (population est.)

CSDB Leaderboard#22089 of 30925 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning47

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateWWLWWWTWLL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

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

Aim7.5

Aggression4.8

Utility4.1

Positioning4.7

Opening Duels0.8

Clutch3.0

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 NiKo 87% playstyle similarity

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

Where you differ: lower aim profile; 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 42% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 613ms 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

Aim7.5

Positioning4.7

Utility4.1

Mechanics7.6

Opening Duels1.6

Win Impact4.4

Composite 5.3/10 (Developing), 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 rating-0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time612ms−38ms

first ⅓ avg 650ms → last ⅓ avg 612ms

Headshot accuracy17.1%−2.4%

first ⅓ avg 19.5% → last ⅓ avg 17.1%

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

0.10Best rating — dust2 13–11

13–2Biggest win — dust2

6Longest win streak

W2Current streak

12–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 82% over 11infernoWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	14–12	54%	0.01
mirage	B	25	12–13	48%	-0.00
cache	S	11	9–2	82%	-0.01
anubis	B	11	5–6	45%	0.00
inferno	D	10	2–8	20%	-0.02
nuke	C	7	3–4	43%	0.00
ancient	D	6	2–4	33%	-0.01
train	—	3	0–3	0%	-0.02
vertigo	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

34Matches

21%Win rate

0.75Avg K/D

61.5ADR

38%Headshot %

Clutches & streaks

35%1v1 clutch win

10%1v2 clutch win

2Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	8	25%	0.44	7.4
Dust2	8	12%	0.90	12.6
Nuke	5	20%	0.85	13.6
Anubis	5	40%	1.00	11.2
Inferno	4	0%	0.61	9.5
Ancient	3	33%	0.90	14.0
Train	1	0%	0.38	6.0

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.

16.6%Headshot accuracy

37.5%Accuracy (enemy spotted)

38.6%Spray accuracy

84.1%Counter-strafing

9.3°Preaim

613msReaction time

23.9%T opening success

42.4%CT opening success

0.55Enemies flashed / flash

7.2%Flash assists

10.30HE damage / grenade

5.49Flashes / 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
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 23.8523% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–4	0.10	21%	29 Aug →
cache	13–6	0.01	14%	29 Aug →
nuke	4–13	0.00	21%	29 Aug →
mirage	13–11	-0.03	12%	26 Aug →
dust2	13–8	0.04	44%	26 Aug →
cache	16–13	0.02	20%	25 Aug →
ancient	15–15	-0.01	12%	25 Aug →
inferno	13–11	0.03	16%	23 Aug →
dust2	14–16	0.01	19%	22 Aug →
dust2	6–13	-0.07	6%	22 Aug →
dust2	13–6	0.08	33%	22 Aug →
mirage	10–13	-0.03	12%	22 Aug →
mirage	9–13	-0.04	8%	20 Aug →
mirage	14–16	0.03	10%	20 Aug →
dust2	14–16	-0.01	15%	19 Aug →
mirage	13–8	0.07	20%	19 Aug →
dust2	13–9	0.03	15%	18 Aug →
mirage	11–13	0.01	17%	18 Aug →
train	2–13	-0.04	13%	18 Aug →
dust2	13–5	0.05	14%	18 Aug →
anubis	9–13	0.03	14%	18 Aug →
cache	6–13	-0.09	9%	18 Aug →
dust2	4–13	-0.03	16%	18 Aug →
anubis	13–11	-0.05	13%	17 Aug →
mirage	10–13	0.02	25%	16 Aug →
mirage	16–14	-0.06	19%	16 Aug →
dust2	4–13	-0.02	15%	16 Aug →
anubis	13–4	0.00	18%	16 Aug →
mirage	13–11	-0.03	11%	16 Aug →
nuke	8–13	0.02	21%	16 Aug →
inferno	11–13	-0.04	31%	15 Aug →
dust2	13–7	-0.01	16%	15 Aug →
mirage	6–13	0.01	14%	15 Aug →
anubis	6–13	0.02	18%	15 Aug →
train	3–13	0.03	32%	15 Aug →
train	7–13	-0.03	16%	15 Aug →
dust2	13–11	0.02	24%	15 Aug →
nuke	11–13	-0.02	6%	15 Aug →
mirage	13–9	-0.01	9%	14 Aug →
dust2	10–13	-0.03	15%	14 Aug →
nuke	13–9	0.01	5%	14 Aug →
ancient	7–13	-0.05	23%	14 Aug →
ancient	13–11	0.01	11%	14 Aug →
mirage	13–10	-0.02	24%	14 Aug →
dust2	3–13	-0.07	8%	14 Aug →
cache	13–8	-0.02	13%	13 Aug →
dust2	13–2	0.09	24%	13 Aug →
inferno	7–13	-0.01	9%	13 Aug →
dust2	13–10	-0.06	15%	12 Aug →
mirage	9–13	-0.09	23%	12 Aug →
dust2	15–15	-0.01	16%	10 Aug →
cache	13–6	0.04	17%	10 Aug →
cache	13–8	0.02	11%	9 Aug →
cache	13–2	-0.08	11%	9 Aug →
mirage	13–11	0.03	14%	9 Aug →
cache	16–12	0.00	22%	9 Aug →
mirage	13–9	-0.01	15%	9 Aug →
anubis	8–13	-0.05	13%	9 Aug →
ancient	9–13	0.04	21%	9 Aug →
inferno	8–13	0.03	19%	9 Aug →
cache	13–10	0.02	31%	8 Aug →
nuke	10–13	0.03	24%	8 Aug →
cache	13–3	-0.03	8%	8 Aug →
anubis	5–13	-0.03	2%	8 Aug →
inferno	16–13	-0.05	17%	8 Aug →
dust2	10–13	-0.01	21%	8 Aug →
mirage	9–13	0.03	41%	8 Aug →
nuke	13–11	-0.04	16%	8 Aug →
mirage	13–16	-0.04	8%	7 Aug →
dust2	13–10	-0.04	25%	6 Aug →
inferno	10–13	0.04	44%	6 Aug →
mirage	7–13	-0.04	31%	6 Aug →
mirage	13–8	0.07	17%	4 Aug →
inferno	5–13	-0.07	13%	4 Aug →
nuke	13–11	0.02	18%	4 Aug →
anubis	10–13	-0.01	19%	4 Aug →
dust2	13–7	0.03	50%	4 Aug →
cache	7–13	0.00	19%	4 Aug →
dust2	7–13	0.00	13%	3 Aug →
ancient	16–13	0.04	12%	3 Aug →
anubis	13–4	0.02	13%	3 Aug →
mirage	13–11	0.03	18%	2 Aug →
mirage	6–13	-0.00	24%	2 Aug →
dust2	13–6	0.08	23%	2 Aug →
ancient	9–13	-0.07	12%	2 Aug →
dust2	7–13	-0.04	17%	2 Aug →
anubis	9–13	0.00	17%	2 Aug →
anubis	13–8	0.02	6%	2 Aug →
mirage	5–13	0.06	24%	2 Aug →
dust2	13–9	-0.01	19%	2 Aug →
mirage	13–7	0.02	24%	2 Aug →
mirage	9–13	-0.03	7%	2 Aug →
mirage	13–8	0.02	16%	1 Aug →
inferno	9–13	-0.02	16%	1 Aug →
vertigo	2–13	-0.07	33%	1 Aug →
inferno	3–13	-0.05	13%	1 Aug →
dust2	9–13	0.00	13%	1 Aug →
anubis	13–10	0.06	23%	30 Jul →
dust2	13–11	0.10	23%	30 Jul →
inferno	3–13	-0.05	21%	30 Jul →