Fornoshaier — CS2 Stats

76561198126046555[U:1:165780827]✓ No bans

1,400Tracked matches53%Win rate2020Tracked since

CSDB Rating3.2 Learning

Ladder ranks via Leetify

Performance scores

Aim23

Positioning32

Utility38

0–100 skill scores via Leetify.

Recent form

HOT56–42–2Last 10056%Win rateLWWLWLWWWW

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

Player DNA

Aim2.3

Aggression4.5

Utility3.8

Positioning3.2

Opening Duels0.0

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 71% playstyle similarity

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

Where you differ: lower positioning profile; 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

Reaction time. 716ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.3

Positioning3.2

Utility3.8

Mechanics3.9

Opening Duels0.9

Win Impact6.1

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time711ms−2ms

first ⅓ avg 713ms → last ⅓ avg 711ms

Headshot accuracy16.4%−0.7%

first ⅓ avg 17.2% → last ⅓ avg 16.4%

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

0.12Best rating — mirage 13–5

13–1Biggest win — mirage

6Longest win streak

8–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 73% over 11infernoWeakest map · 47% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	30	15–15	50%	-0.01
mirage	A	26	16–10	62%	0.01
inferno	B	17	8–9	47%	-0.01
ancient	A	11	7–4	64%	-0.00
anubis	S	11	8–3	73%	-0.00
nuke	—	2	1–1	50%	0.00
overpass	—	1	1–0	100%	-0.00
cache	—	1	0–1	0%	-0.10
train	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (47% over 17). Start with the 6 essential Inferno 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.

16.3%Headshot accuracy

26.7%Accuracy (enemy spotted)

26.2%Spray accuracy

67.7%Counter-strafing

11.0°Preaim

716msReaction time

22.8%T opening success

37.6%CT opening success

0.41Enemies flashed / flash

5.4%Flash assists

11.53HE damage / grenade

3.19Flashes / 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.

Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 715.8731ms — above the 700ms mark we flag
Aim Training →
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 0.4088 — 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 22.7879% — 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.

47% win rate across 17 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
nuke	14–16	0.01	12%	26 Aug →
dust2	13–6	0.00	13%	26 Aug →
inferno	13–10	0.04	21%	16 Aug →
mirage	2–10	-0.06	5%	13 Aug →
mirage	13–1	0.07	14%	11 Aug →
dust2	7–13	-0.09	16%	9 Jul →
ancient	16–12	-0.02	15%	30 Jun →
inferno	13–8	-0.04	7%	30 Jun →
mirage	13–8	-0.02	17%	29 Jun →
dust2	13–7	0.05	23%	29 Jun →
inferno	6–13	-0.02	17%	26 Jun →
dust2	5–13	-0.08	21%	26 Jun →
dust2	8–13	-0.04	21%	25 Jun →
inferno	1–8	-0.06	14%	22 Jun →
dust2	7–13	-0.06	0%	18 Jun →
inferno	13–6	0.02	21%	18 Jun →
mirage	13–11	0.00	17%	16 Jun →
dust2	13–8	0.00	19%	16 Jun →
dust2	6–13	-0.04	16%	14 Jun →
dust2	10–13	-0.00	12%	14 Jun →
dust2	6–13	-0.05	13%	12 Jun →
dust2	11–13	-0.05	22%	11 Jun →
overpass	13–11	-0.00	19%	10 Jun →
inferno	13–5	0.01	24%	9 Jun →
mirage	13–5	0.12	15%	9 Jun →
dust2	7–13	-0.05	16%	3 Jun →
mirage	13–5	0.05	12%	3 Jun →
dust2	13–8	0.01	32%	3 Jun →
mirage	2–13	-0.09	11%	2 Jun →
ancient	13–10	0.02	20%	2 Jun →
inferno	8–13	0.02	22%	1 Jun →
mirage	13–11	0.08	19%	27 May →
anubis	13–7	0.00	20%	27 May →
ancient	9–13	-0.05	30%	25 May →
ancient	16–14	-0.02	13%	20 May →
inferno	13–10	0.00	10%	20 May →
anubis	13–9	-0.02	20%	20 May →
mirage	8–13	-0.00	16%	19 May →
mirage	13–11	-0.07	3%	19 May →
inferno	13–1	0.04	22%	18 May →
anubis	13–6	0.05	20%	18 May →
mirage	3–13	-0.05	14%	17 May →
anubis	13–5	0.03	8%	17 May →
mirage	9–13	0.00	15%	13 May →
dust2	13–5	0.03	20%	12 May →
mirage	13–7	0.05	18%	12 May →
dust2	13–3	0.08	12%	12 May →
dust2	13–6	-0.05	34%	12 May →
mirage	13–2	0.06	27%	12 May →
ancient	16–14	-0.02	14%	11 May →
inferno	15–15	-0.03	18%	11 May →
inferno	8–13	-0.02	21%	10 May →
mirage	7–13	-0.01	8%	8 May →
inferno	13–4	0.03	11%	7 May →
ancient	11–13	-0.02	13%	6 May →
ancient	13–3	0.03	14%	6 May →
mirage	13–7	0.01	19%	3 May →
mirage	13–7	0.04	23%	3 May →
inferno	6–13	-0.06	18%	29 Apr →
ancient	13–2	0.02	18%	29 Apr →
cache	9–13	-0.10	12%	28 Apr →
anubis	8–13	0.01	16%	28 Apr →
dust2	13–10	-0.00	13%	27 Apr →
ancient	7–13	-0.01	18%	27 Apr →
mirage	13–9	0.02	24%	23 Apr →
dust2	13–4	0.01	12%	23 Apr →
train	11–13	0.00	15%	22 Apr →
inferno	4–13	-0.01	16%	22 Apr →
dust2	12–16	-0.02	8%	22 Apr →
anubis	10–13	-0.01	11%	21 Apr →
dust2	13–9	0.01	14%	20 Apr →
ancient	6–13	-0.00	13%	20 Apr →
dust2	3–13	-0.04	25%	19 Apr →
mirage	13–11	0.07	24%	19 Apr →
mirage	4–13	0.01	24%	16 Apr →
mirage	3–13	-0.04	9%	16 Apr →
dust2	13–7	-0.01	13%	16 Apr →
ancient	13–6	0.06	20%	16 Apr →
dust2	4–13	-0.05	28%	13 Apr →
dust2	13–11	0.02	17%	13 Apr →
dust2	3–13	0.01	18%	13 Apr →
anubis	13–9	0.02	19%	13 Apr →
dust2	13–8	0.08	25%	10 Apr →
anubis	13–9	-0.03	16%	9 Apr →
mirage	13–7	0.00	16%	8 Apr →
mirage	13–16	-0.01	16%	6 Apr →
dust2	13–8	-0.05	10%	6 Apr →
mirage	13–6	0.01	18%	5 Apr →
dust2	13–7	0.06	17%	5 Apr →
anubis	13–10	-0.02	13%	5 Apr →
nuke	13–5	-0.01	13%	3 Apr →
dust2	7–13	-0.05	19%	3 Apr →
inferno	10–13	-0.08	13%	3 Apr →
inferno	11–13	-0.03	28%	3 Apr →
dust2	10–13	0.02	16%	2 Apr →
anubis	13–9	0.01	11%	31 Mar →
inferno	13–5	0.05	25%	31 Mar →
anubis	15–15	-0.06	9%	31 Mar →
mirage	13–7	0.05	24%	31 Mar →
mirage	10–13	-0.07	20%	30 Mar →