Haraldskii — CS2 Stats

DK76561198218832464[U:1:258566736]Steam profile ↗✓ No bans

2,791Tracked matches53%Win rate2020Tracked since

CSDB Rating6.5 SolidHybrid Rifler

FaceitLevel 10 · 2,507 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning54

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLWLLWWWWLW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

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

Aim8.7

Aggression4.8

Utility5.8

Positioning5.4

Opening Duels1.2

Clutch4.2

Sharp aimer

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 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success.

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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Reaction time. 563ms 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

Aim8.7

Positioning5.4

Utility5.8

Mechanics7.0

Opening Duels1.2

Win Impact6.1

Composite 6.5/10 (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 rating0.02+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time589ms+31ms

first ⅓ avg 557ms → last ⅓ avg 589ms

Headshot accuracy29.0%+6.3%

first ⅓ avg 22.8% → last ⅓ avg 29.0%

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

0.29Best rating — overpass 9–3

13–1Biggest win — inferno

5Longest win streak

9–15In matches decided by ≤2 rounds

10Overtime games

Map breakdown

overpassBest map · 67% over 15ancientWeakest map · 36% over 25

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	25	9–16	36%	-0.01
overpass	S	15	10–5	67%	0.03
anubis	B	13	7–6	54%	-0.01
vertigo	B	12	6–6	50%	0.04
inferno	A	11	6–5	55%	0.04
nuke	S	9	6–3	67%	0.03
mirage	A	9	5–4	56%	-0.00
cache	—	1	0–1	0%	-0.00
poseidon	—	1	0–1	0%	-0.18
dust2	—	1	1–0	100%	0.03
rooftop	—	1	0–1	0%	-0.03
assembly	—	1	0–1	0%	-0.05
memento	—	1	0–1	0%	-0.17

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 25). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,329Matches

52%Win rate

1.02Avg K/D

78.0ADR

50%Headshot %

Clutches & streaks

41%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	247	57%	1.07	15.4
Anubis	156	56%	1.08	15.5
Mirage	150	45%	1.04	15.8
Nuke	128	50%	1.11	15.8
Vertigo	95	54%	1.05	15.7
Overpass	84	54%	1.13	15.9
Inferno	83	65%	1.15	15.9
Dust2	45	40%	1.04	16.1

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.

27.8%Headshot accuracy

35.6%Accuracy (enemy spotted)

40.7%Spray accuracy

81.7%Counter-strafing

9.1°Preaim

563msReaction time

31.3%T opening success

38.0%CT opening success

0.63Enemies flashed / flash

6.6%Flash assists

12.10HE damage / grenade

9.29Flashes / 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.

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 31.2728% — below the 40% mark we flag

Spend your practice time on Ancient

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

36% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	11–13	0.01	25%	25 Aug →
nuke	13–11	0.10	31%	3 Aug →
cache	13–16	-0.00	30%	22 Jul →
ancient	5–13	-0.06	30%	22 Jul →
anubis	13–5	0.12	24%	20 Jun →
inferno	13–9	0.04	33%	6 Jun →
inferno	13–1	0.05	30%	6 Jun →
ancient	13–6	0.01	24%	2 Jun →
poseidon	3–9	-0.18	27%	28 May →
dust2	13–8	0.03	24%	26 Apr →
anubis	6–13	-0.03	28%	24 Feb →
ancient	10–13	0.00	22%	23 Feb →
mirage	10–13	-0.00	29%	15 Feb →
nuke	11–13	-0.04	20%	11 Feb →
mirage	13–4	0.11	33%	6 Feb →
inferno	5–13	0.03	42%	24 Jan →
inferno	11–13	0.06	21%	18 Jan →
ancient	6–13	-0.05	22%	30 Dec →
inferno	13–7	0.05	32%	30 Dec →
inferno	13–9	0.05	30%	28 Dec →
overpass	13–9	0.05	27%	18 Dec →
inferno	13–8	0.05	46%	4 Dec →
overpass	9–3	0.29	40%	26 Nov →
rooftop	5–9	-0.03	28%	26 Nov →
inferno	13–5	0.06	28%	21 Oct →
mirage	13–9	0.02	40%	20 Sept →
inferno	5–9	0.04	35%	21 Aug →
mirage	13–5	0.04	31%	16 Aug →
ancient	10–13	0.01	25%	3 Aug →
anubis	11–13	-0.07	18%	17 Jun →
ancient	16–13	-0.01	20%	9 Feb →
ancient	13–11	-0.04	31%	15 Jan →
overpass	9–4	0.09	33%	26 Nov →
ancient	10–13	0.01	25%	16 Nov →
vertigo	8–13	-0.01	23%	9 Nov →
vertigo	9–2	0.26	33%	2 Sept →
vertigo	13–4	0.06	26%	1 Sept →
assembly	4–9	-0.05	44%	26 Aug →
anubis	11–13	-0.00	20%	4 Aug →
ancient	7–13	-0.05	22%	25 Jul →
anubis	13–9	0.01	22%	12 Jul →
ancient	13–10	-0.06	20%	10 Jul →
memento	1–9	-0.17	31%	30 Jun →
nuke	9–1	0.08	18%	21 Jun →
ancient	4–13	-0.05	12%	12 Jun →
overpass	4–9	-0.08	6%	11 Jun →
anubis	13–10	-0.04	32%	11 Jun →
ancient	5–13	-0.04	13%	2 May →
overpass	11–13	-0.00	52%	13 Apr →
ancient	13–10	-0.03	22%	10 Mar →
inferno	11–13	-0.03	11%	10 Mar →
overpass	13–11	-0.02	17%	10 Mar →
overpass	4–13	-0.05	26%	10 Mar →
nuke	16–14	0.02	27%	9 Mar →
ancient	5–13	-0.12	17%	9 Mar →
overpass	13–9	-0.01	21%	9 Mar →
nuke	13–4	0.02	17%	7 Mar →
mirage	13–7	0.01	22%	5 Mar →
mirage	6–13	0.01	40%	3 Mar →
vertigo	14–16	0.02	18%	3 Mar →
overpass	13–6	-0.08	19%	2 Mar →
overpass	16–12	0.03	22%	2 Mar →
inferno	10–13	-0.00	14%	2 Mar →
ancient	5–13	0.07	22%	2 Mar →
vertigo	13–11	0.01	37%	28 Feb →
overpass	10–13	-0.03	29%	27 Feb →
anubis	13–11	0.01	26%	27 Feb →
overpass	13–1	0.21	18%	26 Feb →
anubis	11–13	0.00	21%	23 Feb →
nuke	10–13	0.00	22%	23 Feb →
nuke	13–6	0.03	19%	23 Feb →
ancient	16–12	-0.00	23%	23 Feb →
nuke	13–5	0.04	33%	21 Feb →
ancient	13–9	0.04	16%	21 Feb →
nuke	11–13	0.00	26%	21 Feb →
vertigo	9–13	-0.03	17%	20 Feb →
vertigo	16–13	0.03	28%	19 Feb →
anubis	16–14	-0.04	18%	19 Feb →
ancient	13–11	0.05	19%	18 Feb →
ancient	8–13	-0.02	22%	17 Feb →
mirage	11–13	-0.04	23%	17 Feb →
overpass	13–10	0.02	14%	17 Feb →
ancient	6–13	-0.05	10%	17 Feb →
vertigo	13–6	0.04	23%	16 Feb →
anubis	13–10	-0.02	19%	16 Feb →
mirage	5–13	-0.09	37%	16 Feb →
vertigo	11–13	-0.04	30%	16 Feb →
ancient	16–14	0.06	24%	16 Feb →
mirage	13–10	-0.06	23%	15 Feb →
vertigo	13–10	0.10	20%	15 Feb →
ancient	3–13	-0.04	30%	15 Feb →
anubis	7–13	-0.05	34%	15 Feb →
overpass	14–16	-0.01	23%	15 Feb →
ancient	10–13	0.00	18%	14 Feb →
vertigo	11–13	0.01	16%	14 Feb →
anubis	9–13	-0.03	29%	13 Feb →
ancient	10–13	0.02	24%	13 Feb →
anubis	13–8	-0.02	19%	13 Feb →
ancient	11–13	0.03	34%	12 Feb →
overpass	13–3	0.12	17%	11 Feb →