Jaakko — CS2 Stats

IQ76561199016859079[U:1:1056593351]Steam profile ↗✓ No bans

633Tracked matches44%Win rate2020Tracked since

CSDB Rating5.0 DevelopingAll-Rounder

CSDB Leaderboard#208569 of 260000 tracked

FaceitLevel 6 · 1,220 ELOTop 54.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

Rating over time

2,655Peak Premier in tracked matches

1,220Highest Faceit ELO seen on CSDB

60Days played since 2023-04-03

Faceit ELO

At peak — 1,220
Next: Level 7 at 1,351 — 131 to go
Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim78

Positioning46

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY41–51–8Last 10041%Win rateWWLLLTWWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −0.5pp headshot accuracy · −91ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.04
Avg headshot accuracy 18%
Avg reaction 575ms

Last 10

4–5–1 · 40% win rate
Avg rating 0.03
Avg headshot accuracy 22%
Avg reaction 627ms

Last 20

6–11–3 · 30% win rate
Avg rating 0.02
Avg headshot accuracy 22%
Avg reaction 672ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.8

Utility4.0

Positioning4.6

Opening Duels3.0

Clutch3.6

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like sh1ro 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 674ms 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

Aim7.8

Positioning4.6

Utility4.0

Mechanics7.8

Opening Duels2.7

Win Impact3.1

Composite 5.0/10 (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 rating0.03+0.05

first ⅓ avg -0.02 → last ⅓ avg 0.03

Reaction time671ms−130ms

first ⅓ avg 801ms → last ⅓ avg 671ms

Headshot accuracy27.5%+1.0%

first ⅓ avg 26.5% → last ⅓ avg 27.5%

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.

Personal bests

0.28Best match rating · 9–3 · nuke, 25 Dec →

100%Best headshot accuracy · 1–13 · ancient, 14 Sept →

438msFastest reaction time · 1–13 · mirage, 31 Aug →

13–1Biggest win · mirage, 14 Jan →

Across the last 100 tracked matches.

Highlights

4Longest win streak

W2Current streak

6–6In matches decided by ≤2 rounds

19Overtime games

Map breakdown

dust2Best map · 63% over 16infernoWeakest map · 0% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	31	11–20	35%	-0.00
dust2	A	16	10–6	63%	0.02
nuke	B	15	8–7	53%	0.02
vertigo	A	7	4–3	57%	0.01
ancient	D	7	2–5	29%	-0.02
inferno	D	7	0–7	0%	0.00
train	C	5	2–3	40%	-0.03
anubis	—	4	0–4	0%	-0.01
overpass	—	2	1–1	50%	0.03
agency	—	1	0–1	0%	-0.06
golden	—	1	0–1	0%	-0.02
italy	—	1	1–0	100%	0.02
whistle	—	1	1–0	100%	0.22
office	—	1	1–0	100%	0.07
cache	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

531Matches

49%Win rate

0.86Avg K/D

71.5ADR

46%Headshot %

Clutches & streaks

38%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	114	52%	1.01	15.0
Dust2	67	57%	1.05	14.8
Nuke	47	53%	0.93	13.8
Ancient	29	41%	0.90	14.1
Inferno	19	32%	0.97	14.1
Overpass	16	81%	1.28	14.0
Train	13	38%	1.06	14.1
Vertigo	12	67%	0.61	10.9

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.

26.3%Headshot accuracy

36.0%Accuracy (enemy spotted)

37.8%Spray accuracy

85.1%Counter-strafing

9.7°Preaim

674msReaction time

36.1%T opening success

45.2%CT opening success

0.37Enemies flashed / flash

8.0%Flash assists

7.32HE damage / grenade

4.35Flashes / 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 0.3746 — below the 0.5 mark we flag
Grenade Lineups →
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 36.1367% — below the 40% mark we flag

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.

0% win rate across 7 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
dust2	13–6	0.05	8%	4 Nov →
vertigo	13–7	0.02	16%	4 Nov →
mirage	2–10	0.05	21%	14 Sept →
mirage	6–13	0.05	20%	14 Sept →
mirage	1–13	0.02	27%	31 Aug →
ancient	15–15	0.01	27%	9 Feb →
mirage	13–7	0.02	45%	9 Feb →
dust2	13–8	0.06	19%	9 Feb →
inferno	4–13	0.00	12%	9 Feb →
vertigo	6–13	-0.02	26%	9 Feb →
anubis	5–13	0.00	20%	30 Jan →
anubis	6–13	-0.00	26%	30 Jan →
ancient	12–12	-0.07	12%	30 Jan →
mirage	6–13	0.05	20%	26 Jan →
dust2	15–15	0.02	35%	26 Jan →
mirage	5–13	-0.02	12%	22 Jan →
dust2	5–13	0.02	22%	16 Jan →
nuke	5–13	0.01	23%	16 Jan →
mirage	13–5	0.09	28%	15 Jan →
dust2	13–9	0.09	28%	14 Jan →
mirage	13–1	0.10	60%	14 Jan →
nuke	4–13	0.06	25%	14 Jan →
dust2	13–7	0.08	64%	13 Jan →
ancient	6–13	-0.00	33%	13 Jan →
mirage	11–13	0.04	26%	12 Jan →
nuke	13–9	0.06	29%	12 Jan →
dust2	10–13	0.02	30%	12 Jan →
mirage	13–6	0.03	28%	11 Jan →
nuke	6–3	0.02	28%	11 Jan →
ancient	13–8	0.02	20%	11 Jan →
mirage	0–13	-0.05	35%	11 Jan →
overpass	15–15	0.09	21%	11 Jan →
dust2	13–1	0.17	63%	10 Jan →
mirage	13–5	-0.02	28%	10 Jan →
inferno	8–13	-0.05	27%	31 Dec →
dust2	12–12	0.04	18%	25 Dec →
nuke	9–3	0.28	17%	25 Dec →
inferno	8–8	0.13	16%	25 Dec →
mirage	13–11	-0.05	12%	17 Dec →
mirage	3–13	0.02	18%	16 Dec →
nuke	9–13	-0.02	39%	16 Dec →
ancient	13–11	0.01	15%	13 Dec →
nuke	8–13	-0.04	31%	10 Dec →
mirage	5–13	-0.01	23%	10 Dec →
agency	4–13	-0.06	12%	10 Dec →
nuke	13–10	0.04	11%	9 Dec →
mirage	16–14	0.03	28%	8 Dec →
train	13–11	-0.04	10%	8 Dec →
dust2	16–14	0.03	16%	7 Dec →
golden	3–13	-0.02	14%	4 Dec →
italy	13–9	0.02	17%	3 Dec →
vertigo	7–13	-0.02	14%	3 Dec →
mirage	13–7	0.02	47%	27 Nov →
nuke	13–16	-0.03	15%	27 Nov →
inferno	11–13	0.03	20%	25 Nov →
mirage	9–13	-0.04	27%	23 Nov →
vertigo	13–9	0.08	24%	20 Nov →
mirage	10–13	-0.03	36%	19 Nov →
nuke	3–13	0.04	26%	18 Nov →
nuke	1–13	-0.04	3%	18 Nov →
inferno	1–13	-0.03	5%	18 Nov →
mirage	13–5	-0.01	19%	16 Nov →
mirage	4–5	-0.05	29%	11 Nov →
mirage	10–13	-0.03	17%	13 Jul →
mirage	7–13	-0.05	13%	29 May →
train	13–9	0.00	17%	27 May →
anubis	8–13	-0.00	15%	26 May →
dust2	3–13	-0.09	36%	22 May →
nuke	13–8	-0.04	28%	22 May →
mirage	9–13	-0.04	43%	22 May →
overpass	13–11	-0.03	13%	15 May →
mirage	10–13	0.02	33%	15 May →
train	3–13	-0.09	22%	9 Dec →
whistle	9–2	0.22	10%	16 Nov →
office	13–2	0.07	8%	23 Oct →
vertigo	9–5	0.06	31%	20 Oct →
inferno	5–13	-0.03	44%	9 Oct →
dust2	13–8	-0.05	18%	19 Sept →
dust2	13–9	-0.03	27%	11 Sept →
dust2	13–4	0.05	28%	10 Sept →
dust2	12–12	-0.09	27%	9 Sept →
dust2	13–2	0.03	39%	9 Sept →
anubis	20–22	-0.06	21%	1 Sept →
mirage	13–3	-0.07	35%	1 Sept →
train	3–9	-0.25	8%	20 Sept →
ancient	1–13	-0.07	100%	14 Sept →
nuke	9–3	-0.08	13%	14 Sept →
cache	8–16	-0.08	13%	10 Sept →
inferno	1–10	-0.02	17%	3 Sept →
vertigo	14–16	-0.05	13%	7 Aug →
mirage	16–7	-0.01	26%	7 Aug →
ancient	13–16	-0.04	20%	21 May →
vertigo	16–8	0.04	21%	21 May →
nuke	16–6	0.03	22%	21 May →
mirage	14–16	-0.10	20%	15 May →
train	11–16	0.24	35%	2 May →
mirage	15–15	-0.02	24%	2 May →
mirage	5–16	0.01	38%	1 May →
mirage	12–16	0.04	20%	5 Apr →
nuke	16–10	0.00	24%	3 Apr →