!!FraG-HUNTer-HummUS!! — CS2 Stats

FI76561198437411885[U:1:477146157]Steam profile ↗

756Tracked matches57%Win rate2021Tracked since

CSDB Rating4.3 Developing

FaceitLevel 5 · 1,161 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim55

Positioning37

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY40–55–5Last 10040%Win rateWWWLLLLLWW

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

Player DNA

Aim5.5

Aggression4.6

Utility5.0

Positioning3.7

Opening Duels0.1

Clutch4.8

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 81% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

T-side openings. Opening success drops from 41% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 661ms 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

Aim5.5

Positioning3.7

Utility5.0

Mechanics5.1

Opening Duels1.3

Win Impact7.2

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time678ms+11ms

first ⅓ avg 667ms → last ⅓ avg 678ms

Headshot accuracy16.5%−0.7%

first ⅓ avg 17.2% → last ⅓ avg 16.5%

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

0.21Best rating — ancient 13–4

13–1Biggest win — inferno

4Longest win streak

W3Current streak

4–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 54% over 13anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	24	9–15	38%	0.00
dust2	D	18	6–12	33%	0.00
mirage	B	15	8–7	53%	0.03
nuke	D	15	5–10	33%	-0.00
ancient	B	13	7–6	54%	0.02
anubis	D	5	1–4	20%	0.03
overpass	—	4	1–3	25%	0.03
cache	—	3	3–0	100%	0.04
train	—	3	0–3	0%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

53Matches

53%Win rate

1.01Avg K/D

81.2ADR

48%Headshot %

Clutches & streaks

44%1v1 clutch win

17%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	9	56%	1.05	16.2
Mirage	7	29%	0.75	14.1
Dust2	7	43%	0.90	15.1
Ancient	7	57%	1.09	18.9
Inferno	6	83%	1.28	19.3
Anubis	4	25%	0.96	16.3
Overpass	2	50%	1.26	16.5
Train	2	50%	0.96	12.0

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.

16.7%Headshot accuracy

34.3%Accuracy (enemy spotted)

36.9%Spray accuracy

72.9%Counter-strafing

9.9°Preaim

661msReaction time

20.3%T opening success

40.8%CT opening success

0.47Enemies flashed / flash

3.0%Flash assists

5.23HE damage / grenade

12.21Flashes / 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 0.4682 — 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 20.344% — below the 40% mark we flag

Spend your practice time on Anubis

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 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–1	0.05	20%	28 Aug →
cache	13–10	0.04	20%	28 Aug →
cache	13–5	0.03	17%	28 Aug →
inferno	4–9	-0.18	0%	26 Aug →
inferno	6–9	-0.08	17%	23 Aug →
mirage	2–13	-0.08	19%	8 Aug →
ancient	6–13	-0.00	13%	2 Aug →
inferno	11–13	0.08	13%	1 Aug →
inferno	13–10	0.02	18%	1 Aug →
cache	13–8	0.06	24%	28 May →
anubis	9–13	0.06	13%	28 May →
dust2	4–13	-0.08	20%	28 May →
inferno	13–9	-0.03	7%	28 May →
anubis	10–13	0.04	21%	13 Mar →
inferno	13–10	-0.00	13%	13 Mar →
mirage	13–2	0.10	29%	13 Mar →
inferno	1–13	-0.04	19%	13 Mar →
inferno	13–6	-0.03	17%	4 Mar →
dust2	7–13	-0.06	9%	4 Mar →
dust2	12–16	0.04	20%	2 Mar →
ancient	7–13	-0.06	15%	2 Mar →
anubis	13–11	0.04	12%	2 Mar →
ancient	13–4	0.21	17%	25 Feb →
nuke	13–4	0.13	16%	5 Feb →
ancient	13–10	0.04	9%	5 Feb →
anubis	11–13	0.03	12%	4 Feb →
anubis	1–13	-0.00	23%	4 Feb →
dust2	13–3	0.04	23%	4 Feb →
ancient	13–6	0.01	17%	4 Feb →
mirage	13–8	0.06	19%	4 Feb →
mirage	13–8	0.13	14%	3 Feb →
inferno	7–13	0.05	23%	3 Feb →
nuke	16–13	0.05	17%	3 Feb →
dust2	13–8	0.11	12%	3 Feb →
mirage	11–13	0.02	20%	31 Jan →
nuke	8–13	0.01	21%	31 Jan →
mirage	3–13	-0.05	4%	30 Jan →
dust2	11–13	-0.01	16%	29 Jan →
ancient	13–1	0.09	18%	29 Jan →
dust2	13–2	0.12	25%	29 Jan →
dust2	13–16	0.04	14%	27 Jan →
ancient	9–13	0.02	15%	27 Jan →
mirage	5–13	-0.02	16%	27 Jan →
nuke	8–13	-0.04	12%	20 Jan →
overpass	13–7	0.01	17%	20 Jan →
dust2	12–12	0.02	14%	20 Jan →
mirage	4–13	0.10	17%	20 Jan →
inferno	5–13	0.07	17%	20 Jan →
mirage	13–1	0.08	9%	3 Jan →
mirage	16–13	-0.03	11%	28 Dec →
ancient	16–13	-0.00	23%	28 Dec →
nuke	11–13	-0.01	11%	26 Dec →
train	7–13	-0.02	16%	15 Oct →
inferno	6–13	-0.01	17%	15 Oct →
nuke	9–13	-0.04	26%	15 Oct →
inferno	10–13	-0.05	11%	15 Oct →
nuke	11–13	-0.00	18%	15 Oct →
dust2	12–16	0.04	18%	15 Oct →
ancient	2–13	-0.05	17%	14 Oct →
nuke	1–13	-0.07	13%	14 Oct →
inferno	3–13	-0.06	26%	14 Oct →
nuke	10–13	0.02	20%	14 Oct →
overpass	15–15	0.02	15%	14 Oct →
ancient	13–6	0.02	10%	14 Oct →
dust2	13–3	0.01	21%	14 Oct →
dust2	9–13	-0.01	17%	14 Oct →
mirage	13–3	0.05	33%	14 Oct →
dust2	13–11	-0.05	31%	14 Oct →
dust2	7–13	-0.05	18%	13 Oct →
inferno	9–13	-0.03	19%	13 Oct →
ancient	13–7	-0.01	14%	13 Oct →
dust2	4–13	-0.01	22%	13 Oct →
nuke	8–13	-0.04	13%	11 Oct →
ancient	11–13	-0.03	7%	11 Oct →
mirage	13–10	0.02	10%	11 Oct →
mirage	9–13	0.09	20%	11 Oct →
mirage	6–13	-0.07	23%	11 Oct →
train	10–13	-0.02	15%	9 Oct →
nuke	13–8	-0.05	9%	9 Oct →
inferno	5–13	-0.04	23%	9 Oct →
dust2	13–11	-0.02	16%	9 Oct →
inferno	12–16	0.01	16%	9 Oct →
ancient	7–13	-0.04	6%	9 Oct →
dust2	6–13	-0.02	18%	9 Oct →
mirage	13–9	-0.01	21%	8 Oct →
inferno	15–15	0.06	16%	8 Oct →
train	15–15	-0.04	25%	7 Oct →
nuke	14–16	0.02	16%	7 Oct →
inferno	13–3	0.03	29%	7 Oct →
overpass	7–11	0.03	13%	7 Oct →
inferno	13–8	0.04	12%	7 Oct →
inferno	11–13	0.07	13%	6 Oct →
inferno	13–7	0.05	21%	6 Oct →
nuke	8–13	-0.02	10%	6 Oct →
nuke	13–11	-0.03	10%	5 Oct →
inferno	13–9	0.09	23%	5 Oct →
overpass	6–13	0.04	18%	5 Oct →
inferno	10–13	-0.03	22%	4 Oct →
nuke	13–2	0.00	28%	4 Oct →
dust2	15–15	-0.02	12%	4 Oct →