Olavi — CS2 Stats

FI76561198049946194[U:1:89680466]Steam profile ↗✓ No bans

1,724Tracked matches28%Win rate2022Tracked since

2,565Hours in CS23Hrs last 2 wks

CSDB Rating4.3 DevelopingHybrid Rifler

Premier CS Rating3,547Grey band · top ~85% of ranked players (population est.)

CSDB Leaderboard#44033 of 56706 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=369), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Grey band median	Light Blue band median	vs Light Blue band
Headshot rate	37.2%	37.5%	39.7%	2.4% short
Shot accuracy	2.5%	4.5%	6.7%	4.2% short
Kill/death ratio	0.87	0.82	0.91	0.04 short
Match win rate	40.0%	39.1%	42.1%	2.1% short

This profile sits below the typical Light Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim68

Positioning42

Utility45

0–100 skill scores via Leetify.

Recent form

COLD32–66–2Last 10032%Win rateLWWLLLLLLW

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

Player DNA

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

Aim6.8

Aggression4.6

Utility4.5

Positioning4.2

Opening Duels0.7

Clutch4.0

Limited utility dependence

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 81% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 668ms 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

Aim6.8

Positioning4.2

Utility4.5

Mechanics7.5

Opening Duels0.7

Win Impact0.0

Composite 4.3/10 (Developing), 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-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time671ms−16ms

first ⅓ avg 687ms → last ⅓ avg 671ms

Headshot accuracy12.9%−0.7%

first ⅓ avg 13.6% → 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

0.12Best rating — nuke 13–7

13–0Biggest win — cache

3Longest win streak

1–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 50% over 18mirageWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
nuke	D	25	5–20	20%	-0.01
ancient	B	18	9–9	50%	-0.01
anubis	B	13	6–7	46%	0.00
mirage	D	12	2–10	17%	-0.01
inferno	D	12	4–8	33%	-0.03
dust2	D	10	2–8	20%	-0.02
cache	C	10	4–6	40%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,442Lifetime kills

0.87K/D · Top 50% of Grey band

2,857Matches

40.0%Match win rate · Top 50% of Grey band

37.2%Headshot %

2.5%Shot accuracy

4,589MVPs

1,129Hours (in match)

3,154Bombs planted

708Bombs defused

Most-used weapons

AK-4711,436

M4A4 / M4A1-S7,911

Galil AR3,296

AWP2,142

FAMAS2,002

XM10141,652

P2000 / USP-S1,500

P2501,125

Glock-181,063

Desert Eagle833

Lifetime map wins

5,006nuke

4,706inferno

2,204dust2

1,274train

1,169vertigo

35cbble

35lake

11office

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

Faceit stats

Combat

40Matches

40%Win rate

1.08Avg K/D

72.1ADR

39%Headshot %

Clutches & streaks

40%1v1 clutch win

14%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	8	25%	1.02	16.3
Nuke	8	50%	1.00	14.8
Ancient	6	33%	1.03	16.3
Inferno	6	67%	1.56	13.0
Cache	5	40%	0.92	13.4
Dust2	4	25%	0.80	15.3
Mirage	3	33%	1.17	10.3

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.

13.7%Headshot accuracy

39.6%Accuracy (enemy spotted)

37.8%Spray accuracy

83.7%Counter-strafing

9.7°Preaim

668msReaction time

30.6%T opening success

35.4%CT opening success

0.56Enemies flashed / flash

6.1%Flash assists

7.48HE damage / grenade

4.19Flashes / 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 13.6657% — 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 30.5835% — below the 40% mark we flag

Spend your practice time on Mirage

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 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	12–16	-0.03	21%	27 Aug →
nuke	13–5	-0.04	33%	27 Aug →
anubis	13–9	-0.02	11%	27 Aug →
dust2	5–13	0.01	9%	27 Aug →
nuke	6–13	-0.03	11%	27 Aug →
cache	8–13	0.01	19%	27 Aug →
dust2	5–13	-0.01	11%	26 Aug →
inferno	0–10	-0.01	0%	23 Aug →
mirage	14–16	-0.05	21%	23 Aug →
anubis	13–7	0.07	12%	22 Aug →
nuke	1–13	0.02	14%	22 Aug →
dust2	9–13	-0.02	18%	22 Aug →
inferno	13–6	0.02	10%	22 Aug →
nuke	6–13	-0.03	14%	21 Aug →
nuke	15–15	-0.02	5%	21 Aug →
ancient	11–13	0.07	16%	21 Aug →
mirage	13–9	-0.03	10%	20 Aug →
ancient	13–6	0.00	10%	20 Aug →
inferno	13–8	-0.01	15%	19 Aug →
ancient	12–16	-0.03	15%	19 Aug →
cache	4–13	-0.05	13%	16 Aug →
anubis	4–13	-0.09	21%	15 Aug →
inferno	5–13	-0.07	6%	15 Aug →
nuke	2–13	-0.10	8%	15 Aug →
mirage	8–13	-0.07	10%	15 Aug →
inferno	7–13	-0.04	14%	15 Aug →
ancient	2–13	-0.06	7%	15 Aug →
inferno	6–13	-0.04	13%	14 Aug →
nuke	9–13	-0.08	13%	14 Aug →
cache	13–0	0.01	20%	14 Aug →
nuke	4–13	-0.03	0%	14 Aug →
ancient	13–8	-0.01	11%	12 Aug →
dust2	13–11	0.02	17%	12 Aug →
nuke	9–13	-0.05	12%	12 Aug →
cache	13–7	0.02	9%	12 Aug →
nuke	13–8	-0.02	19%	12 Aug →
nuke	15–15	-0.06	6%	10 Aug →
nuke	4–13	-0.01	8%	9 Aug →
ancient	13–3	0.03	24%	9 Aug →
inferno	5–13	-0.08	0%	8 Aug →
mirage	9–13	-0.01	14%	8 Aug →
dust2	5–13	-0.12	8%	8 Aug →
ancient	16–13	0.01	10%	8 Aug →
nuke	11–13	0.03	18%	7 Aug →
mirage	3–13	-0.05	9%	7 Aug →
dust2	9–13	-0.04	6%	7 Aug →
nuke	13–16	-0.03	19%	7 Aug →
anubis	13–4	0.01	9%	7 Aug →
inferno	11–13	-0.07	10%	6 Aug →
mirage	8–13	0.04	13%	6 Aug →
cache	13–3	0.03	17%	6 Aug →
ancient	13–5	0.10	17%	5 Aug →
ancient	13–8	0.00	13%	5 Aug →
cache	5–13	-0.04	21%	5 Aug →
ancient	11–13	-0.03	9%	30 Jul →
anubis	1–13	-0.04	11%	29 Jul →
mirage	13–6	0.05	11%	29 Jul →
anubis	3–13	-0.04	16%	28 Jul →
nuke	16–12	0.00	20%	28 Jul →
anubis	10–13	0.06	10%	27 Jul →
nuke	13–16	0.01	6%	26 Jul →
cache	11–13	0.00	27%	26 Jul →
anubis	7–13	-0.01	14%	26 Jul →
ancient	7–13	-0.03	13%	26 Jul →
ancient	13–10	-0.00	10%	26 Jul →
nuke	9–13	-0.04	6%	26 Jul →
anubis	9–13	-0.05	25%	23 Jul →
dust2	7–13	0.03	13%	23 Jul →
inferno	13–5	-0.03	17%	23 Jul →
mirage	7–13	-0.06	7%	23 Jul →
inferno	6–13	-0.05	15%	23 Jul →
ancient	13–10	-0.04	17%	23 Jul →
dust2	20–22	-0.03	18%	22 Jul →
nuke	13–7	0.12	18%	22 Jul →
cache	13–9	-0.02	16%	22 Jul →
ancient	9–13	0.02	19%	21 Jul →
inferno	13–1	0.09	6%	21 Jul →
anubis	12–16	-0.06	6%	21 Jul →
dust2	13–5	-0.01	19%	19 Jul →
inferno	11–13	-0.07	13%	17 Jul →
mirage	11–13	-0.00	16%	17 Jul →
nuke	11–13	0.04	18%	16 Jul →
mirage	1–13	0.02	10%	16 Jul →
ancient	2–13	-0.08	0%	16 Jul →
anubis	13–6	0.10	14%	16 Jul →
cache	8–13	-0.04	9%	16 Jul →
nuke	7–13	-0.01	22%	14 Jul →
cache	6–13	-0.01	18%	14 Jul →
dust2	5–13	0.00	14%	13 Jul →
ancient	13–16	-0.10	14%	13 Jul →
nuke	9–13	-0.03	13%	12 Jul →
mirage	6–13	0.04	13%	12 Jul →
anubis	13–7	0.05	12%	12 Jul →
ancient	5–13	-0.05	16%	10 Jul →
nuke	13–5	-0.01	9%	10 Jul →
nuke	8–13	0.00	15%	10 Jul →
nuke	2–13	0.04	10%	10 Jul →
anubis	13–7	0.07	12%	10 Jul →
nuke	7–13	0.08	7%	9 Jul →
ancient	13–10	0.02	24%	9 Jul →