HARALD — CS2 Stats

76561198152997461[U:1:192731733]Steam profile ↗✓ No bans

2,098Tracked matches41%Win rate2020Tracked since

CSDB Rating5.8 SolidHybrid Rifler

Premier CS Rating16,903Purple band · top ~20.8% of ranked players (population est.)

CSDB Leaderboard#30870 of 58447 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning48

Utility72

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLWWLLLWWLL

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

Player DNA

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

Aim7.2

Aggression6.0

Utility7.2

Positioning4.8

Opening Duels1.9

Clutch4.0

Effective flashes

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 92% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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. 557ms 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

Aim7.2

Positioning4.8

Utility7.2

Mechanics8.0

Opening Duels1.9

Win Impact2.1

Composite 5.8/10 (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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time557ms−86ms

first ⅓ avg 643ms → last ⅓ avg 557ms

Headshot accuracy12.5%−4.0%

first ⅓ avg 16.5% → last ⅓ avg 12.5%

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

0.14Best rating — cache 13–10

13–0Biggest win — cache

4Longest win streak

7–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 62% over 21nukeWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	21	13–8	62%	0.01
ancient	C	20	8–12	40%	0.02
anubis	B	19	9–10	47%	0.00
inferno	B	12	6–6	50%	-0.01
mirage	A	9	5–4	56%	0.01
nuke	D	9	2–7	22%	-0.01
dust2	B	8	4–4	50%	-0.01
vertigo	—	1	0–1	0%	-0.04
overpass	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

160Matches

57%Win rate

1.05Avg K/D

82.0ADR

41%Headshot %

Clutches & streaks

40%1v1 clutch win

26%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	30	70%	1.23	16.0
Anubis	28	54%	1.06	15.7
Nuke	19	84%	1.28	16.8
Inferno	17	47%	1.01	15.4
Dust2	11	27%	0.78	14.6
Mirage	10	50%	1.07	12.2
Overpass	8	75%	1.05	15.1
Cache	8	75%	1.01	15.0

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.

12.0%Headshot accuracy

35.9%Accuracy (enemy spotted)

39.1%Spray accuracy

85.8%Counter-strafing

9.8°Preaim

557msReaction time

32.3%T opening success

42.9%CT opening success

0.71Enemies flashed / flash

9.7%Flash assists

11.38HE damage / grenade

12.48Flashes / 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 12.0215% — 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 32.3455% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	5–13	0.01	16%	24 Aug →
mirage	16–14	0.03	6%	24 Aug →
anubis	16–13	-0.00	9%	24 Aug →
inferno	6–13	-0.06	14%	21 Aug →
dust2	5–13	-0.10	4%	21 Aug →
nuke	8–13	0.01	20%	21 Aug →
cache	13–5	-0.03	16%	21 Aug →
ancient	13–7	0.07	18%	21 Aug →
mirage	1–13	-0.08	12%	17 Aug →
ancient	1–13	-0.00	18%	17 Aug →
inferno	13–11	0.01	11%	17 Aug →
ancient	13–10	-0.07	13%	17 Aug →
anubis	15–15	0.04	12%	17 Aug →
ancient	11–13	0.02	13%	15 Aug →
cache	7–13	-0.06	16%	15 Aug →
anubis	13–10	0.03	11%	15 Aug →
ancient	6–13	0.04	22%	15 Aug →
vertigo	11–13	-0.04	9%	10 Aug →
anubis	10–13	-0.04	15%	7 Aug →
cache	7–13	-0.08	17%	5 Aug →
ancient	5–13	0.01	12%	5 Aug →
nuke	6–13	-0.06	8%	5 Aug →
anubis	13–11	0.05	9%	5 Aug →
dust2	9–13	0.04	13%	3 Aug →
cache	13–6	-0.02	11%	3 Aug →
ancient	9–13	-0.02	13%	3 Aug →
cache	13–9	-0.02	4%	3 Aug →
ancient	13–10	-0.02	6%	3 Aug →
cache	13–8	-0.02	10%	31 Jul →
mirage	7–13	0.05	13%	31 Jul →
inferno	5–13	-0.00	20%	31 Jul →
ancient	9–13	0.00	8%	31 Jul →
nuke	10–13	0.00	15%	30 Jul →
cache	13–9	0.09	7%	30 Jul →
anubis	7–13	-0.07	14%	30 Jul →
mirage	13–4	0.05	14%	30 Jul →
inferno	7–13	-0.04	2%	30 Jul →
cache	3–13	-0.07	19%	30 Jul →
mirage	13–11	0.07	16%	30 Jul →
cache	13–4	-0.02	10%	29 Jul →
anubis	13–16	0.02	18%	29 Jul →
inferno	13–16	-0.03	28%	29 Jul →
anubis	13–3	-0.00	14%	29 Jul →
ancient	13–7	0.06	10%	27 Jul →
anubis	13–6	-0.01	17%	27 Jul →
nuke	7–13	0.01	15%	27 Jul →
cache	13–9	0.10	15%	27 Jul →
inferno	13–4	0.08	15%	27 Jul →
anubis	13–6	0.03	8%	27 Jul →
anubis	13–8	0.03	9%	26 Jul →
cache	10–13	-0.02	15%	26 Jul →
dust2	16–14	0.01	18%	26 Jul →
inferno	6–13	-0.02	25%	26 Jul →
ancient	9–13	-0.03	19%	26 Jul →
cache	13–5	-0.08	11%	17 Jul →
anubis	10–13	0.00	26%	17 Jul →
mirage	11–13	-0.02	14%	17 Jul →
cache	8–13	0.06	17%	17 Jul →
inferno	13–8	-0.01	19%	17 Jul →
ancient	13–6	0.08	15%	17 Jul →
dust2	8–13	-0.02	10%	16 Jul →
anubis	13–9	0.06	11%	16 Jul →
ancient	4–13	-0.00	15%	16 Jul →
cache	13–9	-0.00	9%	16 Jul →
ancient	13–7	0.05	9%	16 Jul →
cache	9–13	0.01	9%	16 Jul →
anubis	6–13	-0.02	17%	16 Jul →
ancient	13–9	0.03	14%	6 Jul →
overpass	13–3	-0.02	30%	6 Jul →
nuke	6–13	-0.06	4%	6 Jul →
inferno	13–10	-0.01	22%	4 Jul →
nuke	7–13	-0.02	18%	4 Jul →
ancient	13–16	0.02	11%	4 Jul →
dust2	13–11	-0.01	19%	4 Jul →
nuke	13–9	0.01	15%	4 Jul →
anubis	15–15	-0.01	14%	4 Jul →
anubis	12–12	0.01	21%	1 Jul →
dust2	13–8	-0.04	11%	1 Jul →
cache	13–0	0.03	10%	1 Jul →
cache	13–7	0.04	30%	1 Jul →
anubis	13–8	0.02	6%	29 Jun →
nuke	10–13	0.02	17%	29 Jun →
inferno	8–13	-0.06	24%	29 Jun →
ancient	13–16	0.03	20%	29 Jun →
mirage	11–13	-0.03	21%	29 Jun →
inferno	13–3	-0.01	16%	26 Jun →
dust2	8–13	-0.03	24%	26 Jun →
dust2	13–6	0.05	22%	26 Jun →
ancient	9–13	0.01	11%	26 Jun →
anubis	11–13	-0.00	18%	26 Jun →
mirage	13–7	-0.02	20%	26 Jun →
cache	13–10	0.14	18%	25 Jun →
cache	13–1	0.07	13%	25 Jun →
mirage	13–9	0.05	12%	24 Jun →
cache	10–13	-0.02	10%	24 Jun →
ancient	13–2	0.05	18%	22 Jun →
anubis	6–13	-0.06	7%	22 Jun →
inferno	13–9	-0.03	16%	22 Jun →
nuke	13–11	-0.01	19%	22 Jun →
cache	8–13	0.03	15%	18 Jun →