Jesse "Jesse Mikkola" Mikkola — CS2 Stats

FI76561198273863267[U:1:313597539]Steam profile ↗✓ No bans

810Tracked matches34%Win rate2020Tracked since

3,594Hours in CS0Hrs last 2 wks

CSDB Rating5.3 DevelopingAll-Rounder

Premier CS Rating13,263Blue band · top ~37.6% of ranked players (population est.)

CSDB Leaderboard#165170 of 260008 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (36 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,263 +808 4 Jun – 30 Sept · 22 days played

16,216Peak Premier in tracked matches

28Days played since 2026-06-04

Premier CS Rating

2,953 below peak (16,216)
+431 over 90 days
Next: Purple band at 15,000 — 1,737 to go
Reached: Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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	Level 4 median	Level 5 median	vs Level 5
Headshot rate	43.5%	42.7%	43.8%	meets
Shot accuracy	15.7%	11.2%	12.0%	above
Kill/death ratio	1.03	0.99	1.02	meets
Match win rate	39.5%	43.9%	44.7%	5.2% short

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim54

Positioning70

Utility60

0–100 skill scores via Leetify.

Recent form

COLD41–54–5Last 10041%Win rateLLWLTLWWLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +2.6pp headshot accuracy · −80ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–3–1 · 20% win rate
Avg rating 0.00
Avg headshot accuracy 18%
Avg reaction 605ms

Last 10

3–6–1 · 30% win rate
Avg rating 0.01
Avg headshot accuracy 16%
Avg reaction 596ms

Last 20

5–14–1 · 25% win rate
Avg rating 0.01
Avg headshot accuracy 15%
Avg reaction 637ms

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.

Aim5.4

Utility6.0

Positioning7.0

Opening Duels6.4

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 device 73% playstyle similarity

Most alike: positioning profile, 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. 654ms 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

Aim5.4

Positioning7.0

Utility6.0

Mechanics6.8

Opening Duels6.4

Win Impact0.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time654ms+31ms

first ⅓ avg 624ms → last ⅓ avg 654ms

Headshot accuracy16.5%−4.4%

first ⅓ avg 20.9% → last ⅓ avg 16.5%

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

0.17Best match rating · 15–15 · dust2, 4 Jun →

48%Best headshot accuracy · 13–4 · dust2, 25 Jun →

422msFastest reaction time · 14–16 · nuke, 20 Sept →

13–1Biggest win · overpass, 25 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak

L2Current streak

11–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 56% over 9infernoWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	37	18–19	49%	0.03
cache	D	16	5–11	31%	0.00
nuke	D	12	4–8	33%	0.04
anubis	A	9	5–4	56%	0.02
inferno	D	8	2–6	25%	0.02
mirage	D	8	2–6	25%	0.01
ancient	B	8	4–4	50%	0.00
vertigo	—	1	0–1	0%	-0.07
overpass	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

103,226Lifetime kills

1.03K/D · Top 50% of Level 4 players

4,343Matches

39.5%Match win rate

43.5%Headshot % · Top 50% of Level 4 players

15.7%Shot accuracy · Top 25% of Level 4 players

10,435MVPs

2,052Hours (in match)

3,979Bombs planted

1,252Bombs defused

Most-used weapons

AK-4732,708

AWP19,532

M4A4 / M4A1-S13,878

Desert Eagle7,121

P2000 / USP-S6,334

Glock-182,630

SSG 082,580

SG 5532,150

P2501,684

Galil AR1,480

Lifetime map wins

8,312dust2

3,084inferno

3,001nuke

2,375train

899vertigo

216cbble

75lake

73office

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

Faceit stats

Combat

448Matches

54%Win rate

1.33Avg K/D

—ADR

38%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

13Longest win streak

Recent Faceit resultsLLWLL

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.

15.7%Headshot accuracy

31.1%Accuracy (enemy spotted)

26.0%Spray accuracy

80.5%Counter-strafing

7.7°Preaim

654msReaction time

59.1%T opening success

51.8%CT opening success

0.57Enemies flashed / flash

7.2%Flash assists

11.04HE damage / grenade

15.21Flashes / match

Recommended for you

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.

25% win rate across 8 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
cache	9–13	0.01	13%	30 Sept →
dust2	7–13	0.02	16%	30 Sept →
dust2	13–7	-0.03	12%	28 Sept →
cache	11–13	0.01	31%	28 Sept →
dust2	15–15	0.00	20%	23 Sept →
inferno	6–13	0.03	20%	23 Sept →
dust2	13–11	0.05	13%	23 Sept →
dust2	13–7	-0.07	10%	20 Sept →
nuke	14–16	0.07	21%	20 Sept →
cache	5–13	0.04	6%	20 Sept →
inferno	13–10	0.00	15%	7 Aug →
anubis	0–13	-0.05	14%	7 Aug →
dust2	13–7	0.06	19%	7 Aug →
dust2	7–13	0.09	10%	7 Aug →
mirage	4–13	-0.03	10%	7 Aug →
dust2	7–13	0.09	26%	7 Aug →
dust2	11–13	0.03	15%	7 Aug →
nuke	7–13	0.02	13%	7 Aug →
cache	11–13	-0.02	13%	18 Jul →
dust2	1–13	-0.06	0%	17 Jul →
cache	6–13	-0.08	21%	17 Jul →
cache	13–7	0.01	6%	17 Jul →
cache	9–13	0.00	12%	17 Jul →
ancient	13–9	0.05	9%	16 Jul →
inferno	9–13	0.04	10%	16 Jul →
cache	13–8	0.05	9%	16 Jul →
ancient	13–11	-0.11	33%	15 Jul →
ancient	3–13	-0.06	30%	15 Jul →
dust2	8–13	-0.03	19%	15 Jul →
anubis	6–1	-0.00	20%	14 Jul →
cache	13–16	0.00	14%	14 Jul →
nuke	10–13	-0.00	38%	14 Jul →
dust2	13–7	0.05	27%	14 Jul →
anubis	9–13	-0.03	21%	14 Jul →
dust2	6–13	0.04	15%	14 Jul →
cache	13–6	-0.01	15%	13 Jul →
dust2	9–13	0.04	23%	13 Jul →
inferno	11–13	0.06	17%	13 Jul →
dust2	9–13	0.08	13%	13 Jul →
cache	15–15	0.05	16%	11 Jul →
anubis	13–11	-0.06	9%	11 Jul →
dust2	13–11	-0.01	25%	11 Jul →
inferno	6–13	-0.05	11%	11 Jul →
nuke	13–9	0.09	29%	11 Jul →
cache	9–13	-0.06	24%	11 Jul →
cache	6–13	-0.05	19%	10 Jul →
dust2	1–13	-0.07	0%	10 Jul →
cache	13–9	-0.01	15%	10 Jul →
cache	13–3	0.14	15%	9 Jul →
anubis	13–8	0.03	11%	9 Jul →
dust2	11–5	0.04	24%	6 Jul →
ancient	13–3	0.06	18%	5 Jul →
dust2	13–2	0.12	22%	5 Jul →
nuke	10–13	0.04	17%	5 Jul →
vertigo	5–13	-0.07	23%	5 Jul →
anubis	12–13	-0.00	22%	4 Jul →
inferno	7–13	0.00	16%	4 Jul →
dust2	15–15	-0.03	15%	4 Jul →
ancient	13–11	0.02	21%	4 Jul →
dust2	13–9	0.05	4%	4 Jul →
mirage	5–13	0.05	12%	4 Jul →
dust2	13–11	0.06	23%	29 Jun →
dust2	16–13	0.15	13%	28 Jun →
dust2	13–9	0.01	7%	26 Jun →
mirage	8–13	-0.01	21%	26 Jun →
dust2	13–9	0.02	16%	26 Jun →
nuke	13–11	0.05	14%	26 Jun →
dust2	13–8	-0.01	17%	26 Jun →
cache	12–12	-0.01	11%	26 Jun →
ancient	6–13	-0.02	10%	25 Jun →
nuke	6–13	0.04	10%	25 Jun →
overpass	13–1	0.07	8%	25 Jun →
dust2	13–4	0.04	48%	25 Jun →
nuke	16–12	0.02	30%	25 Jun →
mirage	13–3	0.03	25%	25 Jun →
inferno	9–13	0.04	22%	24 Jun →
mirage	8–13	-0.03	8%	24 Jun →
dust2	16–14	0.01	15%	24 Jun →
dust2	11–13	0.05	28%	24 Jun →
mirage	5–13	0.00	14%	23 Jun →
dust2	7–13	-0.04	27%	23 Jun →
dust2	13–8	-0.03	8%	23 Jun →
nuke	2–9	-0.08	15%	23 Jun →
nuke	5–13	0.02	27%	23 Jun →
inferno	16–14	0.04	19%	21 Jun →
nuke	9–13	0.04	28%	21 Jun →
anubis	6–13	0.05	17%	21 Jun →
dust2	7–13	-0.05	14%	21 Jun →
ancient	10–13	0.12	22%	21 Jun →
mirage	7–13	0.00	34%	21 Jun →
dust2	13–8	0.06	29%	21 Jun →
ancient	2–13	-0.04	26%	11 Jun →
mirage	13–11	0.03	18%	11 Jun →
anubis	13–6	0.13	26%	11 Jun →
anubis	13–8	0.07	29%	9 Jun →
dust2	5–13	-0.04	25%	9 Jun →
dust2	10–13	0.01	26%	8 Jun →
nuke	13–11	0.15	23%	8 Jun →
dust2	3–13	0.08	16%	4 Jun →
dust2	15–15	0.17	16%	4 Jun →