Fanton Schmanton — CS2 Stats

DE76561198383782770[U:1:423517042]Steam profile ↗

368Tracked matches52%Win rate2023Tracked since

201Hours in CS

CSDB Rating5.0 DevelopingHybrid Rifler

WingmanGold Nova II

Ladder ranks via Leetify

Performance scores

Aim63

Positioning50

Utility14

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateLLLLLLWWLL

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

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

Aim6.3

Aggression7.2

Utility1.4

Positioning5.0

Opening Duels2.4

Limited 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.

Your pro match

Plays most like ropz 79% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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.

Reaction time. 648ms 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

Aim6.3

Positioning5.0

Utility1.4

Mechanics7.5

Opening Duels2.4

Win Impact5.6

Composite 5.0/10 (Developing), 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 rating0.00+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time659ms−24ms

first ⅓ avg 684ms → last ⅓ avg 659ms

Headshot accuracy15.1%−4.2%

first ⅓ avg 19.4% → last ⅓ avg 15.1%

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

0.15Best rating — anubis 13–5

13–0Biggest win — mirage

6Longest win streak

L6Current streak

5–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 53% over 15infernoWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	19	7–12	37%	-0.00
nuke	C	15	6–9	40%	-0.01
anubis	B	15	8–7	53%	-0.00
inferno	D	15	5–10	33%	-0.01
dust2	C	13	5–8	38%	0.00
mirage	B	10	5–5	50%	0.00
office	—	3	1–2	33%	-0.05
poseidon	—	2	2–0	100%	0.07
train	—	2	2–0	100%	0.02
overpass	—	2	1–1	50%	0.00
cache	—	1	0–1	0%	0.02
vertigo	—	1	1–0	100%	0.05
italy	—	1	0–1	0%	0.09
stronghold	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,173Lifetime kills

0.83K/D

690Matches

33.0%Match win rate

43.5%Headshot %

3.6%Shot accuracy

798MVPs

201Hours (in match)

621Bombs planted

86Bombs defused

Most-used weapons

AK-472,169

M4A4 / M4A1-S1,723

AWP1,243

Desert Eagle521

P2000 / USP-S504

Glock-18373

MAC-10329

MP9268

MP7248

Galil AR235

Lifetime map wins

905dust2

491inferno

491nuke

250office

162train

126vertigo

78italy

29lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.8%Headshot accuracy

33.7%Accuracy (enemy spotted)

38.2%Spray accuracy

83.6%Counter-strafing

9.6°Preaim

648msReaction time

40.2%T opening success

38.6%CT opening success

0.12Enemies flashed / flash

0.0%Flash assists

9.89HE damage / grenade

0.32Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.762% — below the 15% 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 0.1234 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.64% — 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.

33% win rate across 15 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	9–13	0.01	20%	15 Aug →
nuke	6–13	-0.03	14%	13 Aug →
cache	11–13	0.02	22%	13 Aug →
dust2	5–13	-0.02	2%	9 Aug →
mirage	9–13	0.01	20%	8 Aug →
dust2	5–13	0.00	20%	8 Aug →
anubis	13–10	-0.04	15%	8 Aug →
anubis	13–10	0.11	27%	4 Jul →
inferno	9–13	-0.03	10%	4 Jul →
nuke	10–13	-0.10	13%	5 May →
ancient	9–13	-0.00	10%	1 May →
mirage	15–15	-0.05	8%	1 May →
nuke	4–13	-0.06	10%	29 Apr →
anubis	13–7	-0.00	17%	29 Apr →
ancient	13–3	-0.01	16%	28 Apr →
anubis	13–16	-0.03	12%	28 Apr →
anubis	13–5	-0.05	16%	28 Apr →
nuke	13–9	0.09	11%	27 Apr →
poseidon	9–5	0.14	23%	27 Apr →
mirage	13–8	0.05	15%	27 Apr →
dust2	0–13	-0.04	25%	26 Apr →
anubis	13–5	0.15	16%	26 Apr →
dust2	13–11	-0.03	20%	25 Apr →
inferno	13–4	-0.02	12%	25 Apr →
anubis	13–5	-0.02	10%	24 Apr →
train	13–2	-0.03	15%	24 Apr →
dust2	8–13	-0.06	6%	24 Apr →
ancient	13–7	0.01	16%	24 Apr →
nuke	13–6	0.03	17%	24 Apr →
dust2	13–9	0.02	15%	24 Apr →
inferno	7–13	-0.05	17%	24 Apr →
nuke	13–6	0.01	18%	24 Apr →
dust2	11–13	0.10	14%	23 Apr →
nuke	13–7	-0.05	11%	23 Apr →
inferno	13–3	0.01	19%	23 Apr →
inferno	3–13	-0.05	17%	23 Apr →
train	13–3	0.07	32%	22 Apr →
nuke	13–7	0.04	23%	31 Mar →
inferno	7–13	0.01	16%	31 Mar →
ancient	13–7	0.00	29%	29 Mar →
nuke	8–13	0.04	23%	28 Mar →
inferno	3–10	-0.02	14%	28 Mar →
anubis	11–13	-0.07	23%	25 Mar →
inferno	13–4	0.06	14%	25 Mar →
nuke	13–16	-0.06	35%	22 Mar →
ancient	11–13	0.01	17%	22 Mar →
ancient	5–13	-0.03	14%	22 Mar →
anubis	1–7	-0.03	14%	22 Mar →
nuke	8–13	-0.03	17%	22 Mar →
inferno	4–13	-0.05	24%	22 Mar →
ancient	15–15	-0.04	18%	22 Mar →
ancient	13–7	0.01	23%	22 Mar →
dust2	13–6	0.01	24%	22 Mar →
vertigo	13–5	0.05	19%	21 Mar →
office	4–13	-0.06	27%	21 Mar →
mirage	3–13	-0.04	28%	21 Mar →
mirage	13–0	0.02	21%	21 Mar →
dust2	13–4	0.02	33%	20 Mar →
office	7–13	-0.04	19%	20 Mar →
mirage	13–7	0.03	16%	19 Mar →
ancient	7–13	0.00	32%	19 Mar →
ancient	5–13	0.02	22%	19 Mar →
anubis	5–13	-0.08	9%	19 Mar →
inferno	3–13	-0.12	29%	18 Mar →
ancient	9–13	0.09	22%	18 Mar →
anubis	10–13	-0.00	13%	17 Mar →
inferno	16–14	0.05	23%	17 Mar →
nuke	5–13	0.05	21%	17 Mar →
dust2	13–7	0.09	15%	17 Mar →
ancient	13–5	0.10	14%	17 Mar →
anubis	13–5	0.05	28%	17 Mar →
inferno	13–10	-0.02	18%	17 Mar →
nuke	13–11	0.00	18%	16 Mar →
ancient	13–11	-0.07	7%	16 Mar →
overpass	5–13	-0.01	13%	15 Mar →
mirage	5–13	-0.01	10%	15 Mar →
inferno	9–13	0.05	26%	15 Mar →
mirage	16–12	0.05	18%	15 Mar →
dust2	11–13	-0.05	16%	15 Mar →
ancient	8–13	-0.03	19%	15 Mar →
ancient	3–13	-0.03	23%	14 Mar →
inferno	5–9	0.03	26%	14 Mar →
anubis	13–8	0.01	17%	12 Mar →
ancient	5–13	-0.03	19%	12 Mar →
nuke	6–13	0.02	14%	11 Mar →
anubis	5–13	-0.06	19%	11 Mar →
dust2	7–13	-0.03	21%	10 Mar →
overpass	13–10	0.01	23%	10 Mar →
ancient	11–13	-0.03	15%	10 Mar →
italy	8–13	0.09	31%	9 Mar →
office	13–10	-0.05	30%	9 Mar →
mirage	13–8	0.00	17%	8 Mar →
anubis	12–12	0.01	24%	8 Mar →
poseidon	9–6	0.01	7%	8 Mar →
inferno	6–13	-0.09	33%	28 Feb →
ancient	10–13	-0.02	26%	27 Feb →
mirage	10–13	-0.04	13%	27 Feb →
ancient	16–14	0.02	19%	26 Feb →
nuke	2–13	-0.08	19%	26 Feb →
stronghold	4–13	-0.05	21%	25 Feb →