HaroldBar89 — CS2 Stats

76561198877462397[U:1:917196669]Steam profile ↗✓ No bans

728Tracked matches40%Win rate2023Tracked since

CSDB Rating2.3 Learning

Premier CS Rating6,521Light Blue band · top ~71.5% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim24

Positioning45

Utility10

0–100 skill scores via Leetify.

Recent form

STEADY38–58–4Last 10038%Win rateWLLWLLWLWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim2.4

Aggression5.5

Utility1.0

Positioning4.5

Opening Duels1.5

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 70% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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 48% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.4

Positioning4.5

Utility1.0

Mechanics2.5

Opening Duels2.2

Win Impact1.7

Composite 2.3/10 (Learning), 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 rating-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time650ms+22ms

first ⅓ avg 628ms → last ⅓ avg 650ms

Headshot accuracy12.9%+0.3%

first ⅓ avg 12.6% → last ⅓ avg 12.9%

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 — dust2 13–3

13–1Biggest win — nuke

3Longest win streak

8–3In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 64% over 14overpassWeakest map · 19% over 16

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	20	7–13	35%	-0.00
dust2	D	16	4–12	25%	-0.02
overpass	D	16	3–13	19%	-0.03
nuke	A	14	9–5	64%	0.00
mirage	B	12	6–6	50%	0.00
ancient	B	10	5–5	50%	-0.04
train	D	9	3–6	33%	-0.02
cache	—	2	1–1	50%	0.00
anubis	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.0%Headshot accuracy

31.7%Accuracy (enemy spotted)

32.2%Spray accuracy

61.3%Counter-strafing

13.8°Preaim

644msReaction time

24.5%T opening success

47.8%CT opening success

0.34Enemies flashed / flash

1.2%Flash assists

7.94HE damage / grenade

1.58Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.7697° — above the 12° mark we flag
Aim Training →
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 12.9846% — below the 15% mark we flag
Aim Training →
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 0.3367 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Overpass

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

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–8	0.00	18%	6 May →
cache	9–13	0.01	8%	6 May →
dust2	4–13	-0.05	15%	27 Oct →
mirage	16–14	0.01	18%	27 Oct →
dust2	9–13	-0.06	16%	27 Oct →
overpass	5–13	-0.08	9%	23 Oct →
train	13–7	0.04	11%	23 Oct →
dust2	2–13	0.01	17%	23 Oct →
mirage	13–11	0.03	16%	22 Oct →
nuke	13–9	0.06	14%	22 Oct →
overpass	9–13	-0.04	12%	9 Oct →
nuke	4–13	0.04	20%	9 Oct →
mirage	13–3	0.04	17%	9 Oct →
inferno	1–13	-0.08	3%	7 Oct →
nuke	6–13	-0.04	11%	7 Oct →
train	1–13	-0.08	25%	7 Oct →
overpass	13–10	0.04	15%	7 Oct →
inferno	13–11	-0.01	5%	6 Oct →
inferno	13–11	0.04	10%	6 Oct →
overpass	3–13	-0.12	7%	6 Oct →
overpass	6–13	-0.01	13%	5 Oct →
inferno	9–13	-0.03	7%	5 Oct →
overpass	9–13	-0.05	9%	4 Oct →
dust2	13–11	0.03	10%	4 Oct →
nuke	7–13	-0.04	20%	2 Oct →
inferno	8–13	0.00	12%	2 Oct →
nuke	13–1	0.05	26%	2 Oct →
train	13–6	-0.02	10%	30 Sept →
inferno	12–16	-0.04	17%	30 Sept →
train	6–13	-0.06	3%	25 Sept →
nuke	13–3	0.02	8%	25 Sept →
train	11–13	-0.02	12%	25 Sept →
dust2	6–13	-0.02	14%	23 Sept →
nuke	13–10	0.06	6%	23 Sept →
mirage	13–11	0.01	18%	23 Sept →
ancient	13–4	-0.09	7%	22 Sept →
inferno	11–13	-0.04	11%	22 Sept →
mirage	12–12	-0.02	20%	22 Sept →
ancient	2–13	-0.07	6%	21 Sept →
dust2	13–3	0.14	20%	21 Sept →
inferno	13–3	0.06	5%	21 Sept →
overpass	9–13	-0.03	16%	21 Sept →
inferno	16–12	-0.03	9%	19 Sept →
nuke	13–5	0.01	14%	19 Sept →
anubis	12–12	-0.03	13%	19 Sept →
mirage	13–7	0.02	13%	19 Sept →
inferno	7–13	-0.04	13%	18 Sept →
overpass	2–13	-0.01	16%	18 Sept →
overpass	4–13	-0.04	6%	18 Sept →
inferno	10–13	0.01	12%	17 Sept →
inferno	13–8	0.01	14%	17 Sept →
train	2–13	-0.07	24%	17 Sept →
train	0–13	-0.04	21%	17 Sept →
ancient	15–15	-0.04	5%	16 Sept →
nuke	7–13	-0.10	17%	16 Sept →
overpass	13–7	0.06	15%	16 Sept →
mirage	13–9	0.01	9%	15 Sept →
ancient	13–5	0.03	19%	15 Sept →
mirage	6–13	-0.06	6%	15 Sept →
ancient	0–13	-0.04	11%	15 Sept →
nuke	13–3	0.02	9%	11 Sept →
dust2	7–13	-0.01	17%	11 Sept →
ancient	6–13	-0.06	22%	11 Sept →
nuke	13–11	0.03	12%	11 Sept →
train	12–12	0.01	17%	10 Sept →
dust2	13–7	-0.03	6%	10 Sept →
inferno	0–13	0.02	17%	10 Sept →
inferno	10–13	0.05	12%	9 Sept →
dust2	5–13	-0.05	16%	9 Sept →
dust2	1–13	-0.07	8%	9 Sept →
dust2	11–13	0.03	7%	9 Sept →
mirage	6–13	0.05	16%	8 Sept →
dust2	4–13	-0.13	11%	8 Sept →
dust2	13–3	0.02	34%	8 Sept →
inferno	5–13	0.02	12%	8 Sept →
dust2	13–16	-0.06	13%	7 Sept →
inferno	13–7	0.11	9%	7 Sept →
overpass	9–13	-0.05	7%	5 Sept →
inferno	9–13	-0.03	11%	5 Sept →
overpass	13–4	-0.00	17%	4 Sept →
nuke	10–13	-0.02	8%	4 Sept →
ancient	13–9	0.00	11%	2 Sept →
mirage	7–13	0.07	22%	2 Sept →
mirage	9–13	-0.05	13%	1 Sept →
dust2	5–13	-0.03	13%	31 Aug →
overpass	7–13	-0.02	9%	31 Aug →
inferno	6–13	-0.02	14%	31 Aug →
train	13–4	0.04	10%	29 Aug →
inferno	8–13	-0.01	6%	29 Aug →
nuke	13–5	0.00	21%	28 Aug →
ancient	13–4	-0.02	10%	28 Aug →
dust2	7–13	-0.02	17%	28 Aug →
mirage	8–13	-0.05	14%	27 Aug →
ancient	16–14	-0.07	9%	27 Aug →
overpass	3–13	-0.10	15%	27 Aug →
overpass	9–13	-0.01	12%	26 Aug →
overpass	10–13	-0.04	10%	26 Aug →
nuke	13–7	-0.02	15%	26 Aug →
inferno	13–6	0.01	9%	25 Aug →
ancient	9–13	-0.02	7%	25 Aug →