HerschL — CS2 Stats

76561198210580107[U:1:250314379]✓ No bans

248Tracked matches45%Win rate2022Tracked since

964Hours in CS

CSDB Rating5.5 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim75

Positioning53

Utility22

0–100 skill scores via Leetify.

Recent form

COLD43–53–4Last 10043%Win rateTWWLLLLWLL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.5

Aggression8.4

Utility2.2

Positioning5.3

Opening Duels4.5

Clutch10.0

Limited utility dependenceReliable in 1v1s

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 85% playstyle similarity

Most alike: opening-duel success, 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. 608ms 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

Positioning5.3

Utility2.2

Mechanics7.0

Opening Duels4.5

Win Impact3.3

Composite 5.5/10 (Solid), 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 rating0.02+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time601ms+2ms

first ⅓ avg 599ms → last ⅓ avg 601ms

Headshot accuracy16.4%+2.0%

first ⅓ avg 14.4% → 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

0.15Best rating — mirage 13–8

13–1Biggest win — mirage

3Longest win streak

8–12In matches decided by ≤2 rounds

19Overtime games

Map breakdown

ancientBest map · 56% over 18infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	28	9–19	32%	0.02
mirage	C	27	12–15	44%	0.02
ancient	A	18	10–8	56%	0.01
anubis	B	8	4–4	50%	-0.00
inferno	D	6	1–5	17%	-0.01
nuke	D	6	2–4	33%	-0.00
cache	—	3	2–1	67%	0.03
overpass	—	2	2–0	100%	0.04
train	—	2	1–1	50%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,913Lifetime kills

1.07K/D · Top 50% of tracked players

1,780Matches

45.1%Match win rate

36.2%Headshot %

20.7%Shot accuracy · Top 5% of tracked players

5,158MVPs

964Hours (in match)

922Bombs planted

584Bombs defused

Most-used weapons

AK-4710,292

AWP9,947

M4A4 / M4A1-S3,784

P2000 / USP-S2,606

Glock-181,788

Desert Eagle1,609

P901,606

P2501,228

Five-SeveN1,167

Tec-91,161

Lifetime map wins

2,704dust2

2,318inferno

1,041cbble

971train

813nuke

165vertigo

33office

18italy

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

Faceit stats

Combat

19Matches

58%Win rate

1.52Avg K/D

82.6ADR

30%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	1	100%	0.88	14.0
Inferno	1	100%	1.40	21.0

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.

16.5%Headshot accuracy

39.3%Accuracy (enemy spotted)

37.8%Spray accuracy

81.5%Counter-strafing

9.4°Preaim

608msReaction time

44.2%T opening success

51.6%CT opening success

0.42Enemies flashed / flash

7.1%Flash assists

1.61HE damage / grenade

3.77Flashes / 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 0.4237 — below the 0.5 mark we flag
Grenade Lineups →

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.

17% win rate across 6 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
inferno	15–15	0.05	12%	13 Jun →
cache	13–6	-0.02	17%	3 May →
cache	13–3	0.10	24%	3 May →
cache	11–13	0.00	9%	30 Apr →
ancient	7–13	0.01	20%	17 Apr →
inferno	9–13	0.02	25%	16 Apr →
dust2	9–13	0.00	12%	12 Apr →
dust2	13–8	0.00	19%	12 Apr →
anubis	7–13	-0.01	13%	11 Apr →
mirage	8–13	-0.08	4%	11 Apr →
ancient	13–4	-0.04	21%	10 Apr →
inferno	13–11	0.01	15%	10 Apr →
dust2	10–13	0.02	19%	9 Apr →
overpass	13–11	0.06	12%	7 Apr →
mirage	5–13	0.06	25%	7 Apr →
anubis	13–8	-0.02	14%	6 Apr →
nuke	5–13	0.01	17%	6 Apr →
mirage	11–13	-0.02	20%	4 Apr →
dust2	11–13	-0.01	13%	4 Apr →
ancient	16–13	0.05	20%	4 Apr →
dust2	3–13	0.08	13%	4 Apr →
dust2	13–7	0.13	28%	4 Apr →
mirage	9–13	-0.03	25%	31 Mar →
nuke	16–14	-0.02	13%	31 Mar →
mirage	13–5	0.05	10%	31 Mar →
overpass	13–10	0.02	12%	29 Mar →
nuke	10–13	0.03	23%	28 Mar →
mirage	13–8	0.15	10%	28 Mar →
dust2	7–13	-0.03	21%	5 Sept →
dust2	5–13	0.09	16%	29 Aug →
mirage	11–13	-0.03	18%	5 Aug →
mirage	13–6	0.13	18%	14 Jul →
dust2	12–16	0.02	7%	3 Jul →
mirage	13–8	0.04	22%	27 Jun →
dust2	3–13	-0.06	25%	27 Jun →
ancient	13–7	0.06	12%	26 Jun →
ancient	12–16	-0.01	20%	26 Jun →
dust2	8–13	-0.03	17%	23 Jun →
dust2	4–13	0.02	28%	22 Jun →
train	13–11	-0.03	24%	22 Jun →
mirage	11–13	-0.04	22%	20 Jun →
ancient	14–16	-0.02	7%	19 Jun →
ancient	15–15	0.00	20%	18 Jun →
dust2	14–16	-0.01	18%	16 Jun →
ancient	13–11	0.05	14%	16 Jun →
mirage	13–3	0.04	50%	16 Jun →
anubis	13–11	-0.04	15%	15 Jun →
mirage	13–16	0.04	7%	15 Jun →
ancient	9–13	-0.05	15%	15 Jun →
ancient	12–16	-0.06	12%	15 Jun →
dust2	7–1	0.03	10%	15 Jun →
anubis	10–13	0.00	8%	14 Jun →
mirage	13–7	0.04	13%	14 Jun →
ancient	13–6	-0.00	17%	14 Jun →
dust2	8–13	-0.04	11%	14 Jun →
dust2	13–4	0.05	23%	14 Jun →
ancient	16–13	0.02	7%	14 Jun →
dust2	10–13	-0.02	17%	14 Jun →
mirage	13–7	0.03	19%	14 Jun →
mirage	13–11	0.07	17%	13 Jun →
dust2	7–13	0.05	36%	13 Jun →
mirage	8–13	-0.02	8%	13 Jun →
dust2	13–6	-0.01	16%	13 Jun →
mirage	13–1	0.03	22%	13 Jun →
dust2	11–5	0.08	20%	13 Jun →
mirage	9–13	0.05	18%	13 Jun →
ancient	2–13	-0.00	16%	13 Jun →
dust2	13–5	0.09	11%	13 Jun →
mirage	11–13	-0.04	8%	12 Jun →
mirage	8–13	-0.04	14%	12 Jun →
dust2	5–13	-0.01	16%	12 Jun →
nuke	7–13	-0.01	13%	12 Jun →
dust2	14–16	-0.04	13%	12 Jun →
mirage	3–13	-0.03	18%	12 Jun →
inferno	15–15	-0.04	22%	12 Jun →
anubis	13–11	0.02	8%	12 Jun →
ancient	13–6	0.09	16%	12 Jun →
mirage	10–13	0.02	18%	12 Jun →
mirage	16–13	0.04	12%	8 Jun →
dust2	14–16	0.09	10%	8 Jun →
ancient	6–13	-0.00	10%	8 Jun →
anubis	4–13	-0.04	9%	8 Jun →
train	11–13	-0.05	24%	6 Jun →
anubis	9–13	-0.00	11%	6 Jun →
dust2	8–13	-0.02	22%	6 Jun →
mirage	10–3	0.04	25%	5 Jun →
ancient	13–5	-0.05	8%	5 Jun →
ancient	13–4	0.06	22%	5 Jun →
mirage	11–13	-0.05	8%	3 Jun →
mirage	16–12	-0.02	11%	3 Jun →
inferno	2–13	-0.10	13%	3 Jun →
anubis	13–9	0.06	19%	3 Jun →
dust2	13–9	-0.01	8%	3 Jun →
nuke	13–10	0.04	18%	3 Jun →
mirage	10–13	0.04	18%	3 Jun →
dust2	13–4	0.11	20%	3 Jun →
ancient	16–12	0.05	13%	1 Jun →
inferno	12–16	0.02	18%	1 Jun →
nuke	15–15	-0.05	17%	31 May →
dust2	7–13	-0.07	8%	30 May →