Frontallappen @Schade — CS2 Stats

DE76561197971163179[U:1:10897451]Steam profile ↗✓ No bans

1,678Tracked matches61%Win rate2020Tracked since

CSDB Rating5.8 SolidSupport

Premier CS Rating20,117Top 50% of 44,590 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)

CSDB Leaderboard#21672 of 59012 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim62

Positioning47

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateWWLTLWLWWW

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim6.2

Aggression4.3

Utility7.0

Positioning4.7

Opening Duels0.8

Clutch2.0

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 Twistzz 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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. 600ms 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

Aim6.2

Positioning4.7

Utility7.0

Mechanics5.9

Opening Duels0.8

Win Impact8.6

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 rating-0.01−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time601ms−37ms

first ⅓ avg 638ms → last ⅓ avg 601ms

Headshot accuracy12.7%−1.8%

first ⅓ avg 14.5% → last ⅓ avg 12.7%

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

0.11Best rating — nuke 13–3

13–0Biggest win — dust2

5Longest win streak

W2Current streak

8–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 72% over 18anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	10–13	43%	-0.00
nuke	S	18	13–5	72%	0.01
inferno	C	18	7–11	39%	0.00
ancient	B	15	8–7	53%	-0.01
cache	B	14	7–7	50%	-0.02
anubis	D	5	1–4	20%	-0.02
mirage	—	4	0–4	0%	-0.05
overpass	—	2	1–1	50%	0.02
vertigo	—	1	1–0	100%	-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

891Matches

48%Win rate

1.01Avg K/D

76.6ADR

32%Headshot %

Clutches & streaks

30%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	19	42%	0.97	12.4
Ancient	10	50%	0.92	12.9
Nuke	10	40%	1.68	13.9
Overpass	7	43%	0.94	10.4
Anubis	6	17%	0.97	15.0
Train	3	0%	0.88	16.0
Dust2	2	50%	1.07	23.5
Vertigo	2	50%	1.28	18.5

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.

11.7%Headshot accuracy

37.6%Accuracy (enemy spotted)

38.9%Spray accuracy

76.5%Counter-strafing

10.4°Preaim

600msReaction time

33.8%T opening success

32.8%CT opening success

0.66Enemies flashed / flash

8.5%Flash assists

11.08HE damage / grenade

11.08Flashes / 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 11.7462% — below the 15% mark we flag
Aim Training →
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 33.7875% — 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
ancient	13–10	-0.04	9%	30 Aug →
cache	13–9	0.01	16%	30 Aug →
cache	5–13	-0.08	12%	30 Aug →
cache	15–15	-0.03	4%	25 Aug →
mirage	9–13	-0.02	11%	25 Aug →
ancient	13–7	-0.01	8%	25 Aug →
mirage	9–13	-0.08	11%	25 Aug →
dust2	13–11	0.01	14%	23 Aug →
dust2	13–9	0.02	11%	23 Aug →
nuke	13–11	0.00	14%	23 Aug →
dust2	13–11	0.02	20%	20 Aug →
nuke	13–1	0.05	17%	20 Aug →
inferno	7–13	-0.03	12%	18 Aug →
ancient	13–11	0.06	12%	18 Aug →
nuke	13–6	0.04	13%	18 Aug →
dust2	11–13	0.01	20%	3 Aug →
inferno	13–7	0.04	15%	3 Aug →
ancient	15–15	-0.03	8%	31 Jul →
anubis	13–4	0.03	11%	30 Jul →
dust2	3–13	-0.03	10%	30 Jul →
cache	16–13	-0.04	13%	29 Jul →
ancient	5–13	-0.04	10%	29 Jul →
nuke	9–13	-0.02	9%	29 Jul →
dust2	16–12	0.03	9%	29 Jul →
dust2	13–0	0.04	15%	29 Jul →
anubis	9–13	-0.05	9%	29 Jul →
ancient	13–7	-0.04	18%	29 Jul →
mirage	3–13	-0.07	9%	28 Jul →
inferno	13–2	0.04	17%	28 Jul →
dust2	11–13	0.05	4%	28 Jul →
inferno	13–9	-0.03	21%	27 Jul →
ancient	11–13	0.04	20%	26 Jul →
ancient	11–13	0.00	17%	26 Jul →
nuke	9–13	-0.08	17%	26 Jul →
anubis	8–13	-0.05	13%	23 Jul →
ancient	5–13	-0.04	13%	23 Jul →
cache	13–5	0.05	12%	23 Jul →
inferno	10–13	0.04	20%	23 Jul →
nuke	10–13	-0.02	15%	20 Jul →
dust2	1–13	-0.09	0%	20 Jul →
ancient	13–10	-0.05	9%	14 Jul →
cache	12–16	-0.03	23%	14 Jul →
dust2	7–13	0.01	25%	14 Jul →
nuke	13–7	0.02	12%	14 Jul →
dust2	13–7	0.06	20%	12 Jul →
cache	13–10	0.01	10%	12 Jul →
inferno	13–6	0.01	14%	12 Jul →
inferno	12–12	-0.01	11%	7 Jul →
dust2	9–13	-0.03	15%	7 Jul →
cache	7–13	-0.01	24%	7 Jul →
dust2	13–10	0.04	15%	5 Jul →
dust2	3–13	-0.08	12%	5 Jul →
nuke	13–6	0.03	11%	5 Jul →
nuke	13–16	0.01	11%	5 Jul →
dust2	1–13	-0.07	13%	5 Jul →
inferno	6–13	0.00	15%	30 Jun →
inferno	10–13	-0.03	20%	30 Jun →
dust2	11–13	-0.01	16%	30 Jun →
nuke	10–13	-0.01	9%	28 Jun →
inferno	13–11	-0.01	8%	28 Jun →
dust2	9–13	-0.04	26%	28 Jun →
inferno	13–7	0.03	19%	16 Jun →
ancient	8–13	0.06	20%	16 Jun →
dust2	8–13	-0.06	11%	16 Jun →
cache	7–13	-0.02	20%	16 Jun →
inferno	7–13	0.04	18%	14 Jun →
ancient	13–9	0.03	14%	14 Jun →
dust2	13–9	0.02	11%	14 Jun →
inferno	9–13	-0.01	18%	14 Jun →
nuke	13–3	0.11	9%	9 Jun →
dust2	13–4	0.02	27%	9 Jun →
anubis	8–13	-0.04	8%	9 Jun →
nuke	16–13	-0.01	16%	9 Jun →
inferno	9–13	-0.05	11%	2 Jun →
overpass	13–5	0.04	15%	2 Jun →
inferno	10–13	0.00	8%	2 Jun →
cache	13–9	-0.03	12%	31 May →
ancient	11–13	-0.03	13%	31 May →
dust2	6–13	-0.05	13%	26 May →
ancient	13–9	-0.04	13%	26 May →
mirage	2–13	-0.03	21%	26 May →
dust2	9–13	0.05	23%	26 May →
nuke	13–4	0.03	16%	24 May →
vertigo	13–10	-0.03	13%	24 May →
cache	13–11	-0.03	9%	24 May →
cache	6–13	0.03	7%	24 May →
dust2	13–9	0.02	17%	19 May →
inferno	15–15	-0.00	11%	19 May →
nuke	13–10	0.01	16%	19 May →
inferno	6–13	-0.02	17%	19 May →
nuke	13–4	-0.06	8%	17 May →
cache	13–3	-0.05	19%	16 May →
cache	10–13	0.01	17%	15 May →
ancient	13–11	0.05	18%	12 May →
nuke	13–6	0.06	8%	12 May →
overpass	12–16	-0.01	12%	12 May →
inferno	13–6	-0.03	17%	12 May →
nuke	9–4	-0.04	25%	10 May →
anubis	8–13	-0.01	11%	10 May →
nuke	13–11	0.06	18%	10 May →