Jordbær Jonas — CS2 Stats

76561198203127315[U:1:242861587]Steam profile ↗✓ No bans

800Tracked matches52%Win rate2020Tracked since

968Hours in CS

CSDB Rating5.8 SolidHybrid Rifler

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=1,073), 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 2 median	Level 3 median	vs Level 3
Headshot rate	46.7%	40.9%	41.8%	above
Shot accuracy	13.1%	12.5%	11.9%	above
Kill/death ratio	1.23	0.95	0.97	above
Match win rate	64.6%	42.4%	43.5%	above

Across every metric we can compare, this profile already matches the typical Level 3 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim67

Positioning67

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateLLWLWLTWLW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim6.7

Aggression8.1

Utility4.3

Positioning6.7

Opening Duels3.7

Clutch3.0

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 donk 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Reaction time. 601ms 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

Aim6.7

Positioning6.7

Utility4.3

Mechanics5.8

Opening Duels3.7

Win Impact5.6

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time608ms−58ms

first ⅓ avg 666ms → last ⅓ avg 608ms

Headshot accuracy15.8%−8.3%

first ⅓ avg 24.1% → last ⅓ avg 15.8%

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

0.16Best rating — nuke 13–7

13–1Biggest win — mirage

6Longest win streak

L2Current streak

4–11In matches decided by ≤2 rounds

15Overtime games

Map breakdown

infernoBest map · 70% over 27cacheWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	27	19–8	70%	0.03
nuke	C	22	9–13	41%	0.03
ancient	A	20	11–9	55%	0.02
dust2	C	18	8–10	44%	0.02
cache	D	7	1–6	14%	-0.00
overpass	—	4	3–1	75%	0.06
mirage	—	2	2–0	100%	0.02

Across the last 100 tracked matches.

Lifetime stats

48,283Lifetime kills

1.23K/D · Top 10% of Level 2 players

2,187Matches

64.6%Match win rate · Top 5% of Level 2 players

46.7%Headshot % · Top 25% of Level 2 players

13.1%Shot accuracy · Top 50% of Level 2 players

6,934MVPs

968Hours (in match)

4,018Bombs planted

907Bombs defused

Most-used weapons

AK-4716,608

M4A4 / M4A1-S7,748

AWP5,086

Glock-183,197

Desert Eagle3,102

P2000 / USP-S2,966

FAMAS1,791

Galil AR1,746

MP91,679

MAC-101,585

Lifetime map wins

7,805inferno

5,322nuke

2,301dust2

566cbble

506train

433vertigo

175office

32lake

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

Faceit stats

Combat

43Matches

51%Win rate

1.37Avg K/D

92.5ADR

44%Headshot %

Clutches & streaks

35%1v1 clutch win

38%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	10	30%	1.27	18.0
Nuke	7	86%	2.04	21.3
Inferno	7	57%	1.57	19.6
Dust2	3	67%	1.63	17.3
Mirage	3	33%	1.03	13.3
Overpass	1	100%	1.00	14.0
Anubis	1	100%	1.07	15.0

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.

16.2%Headshot accuracy

37.0%Accuracy (enemy spotted)

40.5%Spray accuracy

76.2%Counter-strafing

10.8°Preaim

601msReaction time

41.0%T opening success

48.8%CT opening success

0.45Enemies flashed / flash

4.0%Flash assists

11.47HE damage / grenade

4.18Flashes / 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 0.4479 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Cache

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–16	-0.01	11%	15 Aug →
cache	10–13	0.04	17%	12 Aug →
inferno	13–10	-0.03	13%	11 Aug →
cache	9–13	-0.04	14%	23 Jul →
inferno	13–6	0.06	16%	22 Jul →
inferno	8–13	0.01	15%	21 Jul →
dust2	15–15	0.09	12%	19 Jul →
cache	13–2	0.03	13%	19 Jul →
cache	8–13	-0.01	17%	15 Jul →
nuke	13–2	0.01	16%	15 Jul →
nuke	13–7	0.16	16%	13 Jul →
ancient	13–2	0.07	12%	13 Jul →
inferno	8–13	0.01	37%	13 Jul →
inferno	13–6	0.02	20%	12 Jul →
nuke	13–8	0.04	26%	12 Jul →
cache	7–13	0.04	13%	9 Jul →
cache	3–13	-0.06	12%	7 Jul →
overpass	13–7	0.05	21%	5 Jul →
overpass	13–5	0.10	20%	2 Jul →
nuke	10–13	0.06	13%	2 Jul →
ancient	7–13	0.01	13%	2 Jul →
overpass	14–16	0.03	18%	26 Jun →
ancient	16–13	0.01	18%	26 Jun →
mirage	13–1	0.05	10%	26 Jun →
dust2	6–1	0.10	17%	25 Jun →
dust2	11–13	0.05	13%	25 Jun →
dust2	13–10	-0.07	12%	24 Jun →
ancient	13–11	-0.02	16%	24 Jun →
nuke	11–13	0.01	26%	23 Jun →
dust2	9–13	-0.01	10%	21 Jun →
inferno	9–13	-0.06	12%	18 Jun →
inferno	13–5	0.08	13%	16 Jun →
nuke	11–13	0.00	9%	14 Jun →
inferno	7–13	-0.02	19%	13 Jun →
nuke	13–4	0.03	16%	13 Jun →
ancient	8–13	0.04	16%	12 Jun →
overpass	13–5	0.07	26%	12 Jun →
ancient	11–13	0.09	12%	11 Jun →
ancient	8–13	-0.07	5%	10 Jun →
inferno	13–3	0.04	14%	9 Jun →
inferno	13–11	-0.00	16%	8 Jun →
nuke	9–13	-0.05	19%	7 Jun →
ancient	13–4	0.05	13%	7 Jun →
dust2	16–12	0.08	20%	6 Jun →
dust2	4–13	-0.06	14%	6 Jun →
ancient	13–5	0.06	11%	5 Jun →
inferno	13–8	-0.00	9%	5 Jun →
nuke	11–13	0.08	29%	4 Jun →
ancient	6–13	-0.03	16%	3 Jun →
dust2	14–16	0.03	17%	3 Jun →
nuke	10–13	-0.05	20%	1 Jun →
dust2	13–16	0.04	20%	30 May →
nuke	13–6	0.08	23%	29 May →
inferno	10–13	0.00	15%	29 May →
nuke	16–13	0.07	14%	27 May →
inferno	12–4	0.06	24%	27 May →
nuke	16–12	0.03	34%	26 May →
inferno	13–6	0.03	21%	25 May →
nuke	14–16	0.06	14%	25 May →
inferno	16–13	-0.01	22%	24 May →
inferno	8–13	-0.02	17%	24 May →
ancient	16–13	-0.03	15%	24 May →
nuke	10–13	0.04	16%	23 May →
nuke	9–13	0.01	22%	21 May →
dust2	4–13	0.01	19%	20 May →
ancient	13–11	0.03	18%	20 May →
ancient	6–13	-0.02	19%	18 May →
nuke	11–13	0.03	33%	17 May →
nuke	13–16	-0.04	18%	16 May →
inferno	13–9	-0.00	15%	13 May →
dust2	10–1	0.02	36%	13 May →
inferno	13–5	-0.01	43%	9 May →
mirage	13–8	-0.01	11%	8 May →
inferno	16–12	0.03	21%	7 May →
ancient	13–8	-0.01	15%	7 May →
nuke	7–13	0.07	25%	4 May →
dust2	13–4	0.04	15%	3 May →
inferno	6–13	0.11	20%	2 May →
ancient	13–5	0.07	25%	2 May →
ancient	11–13	0.01	25%	1 May →
dust2	5–13	0.03	12%	1 May →
inferno	13–1	0.06	40%	30 Apr →
dust2	13–8	-0.03	16%	22 Apr →
dust2	13–5	-0.00	30%	12 Apr →
inferno	13–9	0.03	18%	12 Apr →
ancient	13–11	0.03	22%	8 Apr →
inferno	13–7	0.02	26%	5 Apr →
nuke	9–13	-0.03	25%	5 Apr →
ancient	13–5	0.14	21%	3 Apr →
inferno	10–13	0.03	21%	24 Mar →
inferno	13–3	0.11	27%	24 Mar →
dust2	11–13	-0.06	28%	21 Mar →
nuke	13–10	0.01	15%	16 Mar →
inferno	13–3	0.13	34%	15 Mar →
ancient	2–13	0.02	16%	14 Mar →
dust2	13–9	0.07	33%	14 Mar →
dust2	7–13	-0.02	24%	11 Mar →
inferno	13–9	0.05	55%	7 Mar →
ancient	10–13	-0.01	6%	5 Mar →
nuke	16–13	0.05	24%	2 Mar →