Jordi — CS2 Stats

76561198253503481[U:1:293237753]✓ No bans

461Tracked matches59%Win rate2021Tracked since

1,225Hours in CS

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating21,802Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)

CSDB Leaderboard#9478 of 31349 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median	Level 4 median	vs Level 4
Headshot rate	41.8%	42.1%	42.5%	meets
Shot accuracy	15.6%	12.1%	10.9%	above
Kill/death ratio	1.36	0.99	0.99	above
Match win rate	68.4%	43.9%	44.2%	above

Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim66

Positioning55

Utility76

0–100 skill scores via Leetify.

Recent form

HOT53–41–6Last 10053%Win rateWWLLWWWWWW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

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

Aim6.6

Aggression7.0

Utility7.6

Positioning5.5

Opening Duels2.8

Strong CT-side openerEffective flashesHigh utility contribution

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 Twistzz 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

Flashes. 0.84 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 49% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim6.6

Positioning5.5

Utility7.6

Mechanics7.2

Opening Duels2.8

Win Impact7.9

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time596ms−21ms

first ⅓ avg 617ms → last ⅓ avg 596ms

Headshot accuracy14.9%−0.8%

first ⅓ avg 15.7% → last ⅓ avg 14.9%

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

0.10Best rating — train 13–10

13–1Biggest win — dust2

6Longest win streak

W2Current streak

8–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

dust2Best map · 58% over 36ancientWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	36	21–15	58%	0.00
mirage	B	26	13–13	50%	0.02
ancient	C	14	5–9	36%	-0.00
cache	B	13	7–6	54%	0.02
anubis	C	5	2–3	40%	0.01
nuke	—	4	3–1	75%	0.02
train	—	1	1–0	100%	0.10
overpass	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,843Lifetime kills

1.36K/D · Top 10% of Level 3 players

5,342Matches

68.4%Match win rate · Top 5% of Level 3 players

41.8%Headshot %

15.6%Shot accuracy · Top 50% of Level 3 players

8,970MVPs

1,225Hours (in match)

4,996Bombs planted

775Bombs defused

Most-used weapons

AK-4723,045

M4A4 / M4A1-S11,070

P2000 / USP-S3,254

Desert Eagle2,463

Glock-182,350

AWP2,249

MP91,966

SSG 081,947

P901,944

Five-SeveN1,807

Lifetime map wins

12,184dust2

1,349inferno

690vertigo

630train

538nuke

306office

213italy

209cbble

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

Faceit stats

Combat

4Matches

25%Win rate

0.98Avg K/D

—ADR

28%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLWLLL

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.

15.2%Headshot accuracy

32.8%Accuracy (enemy spotted)

36.0%Spray accuracy

82.3%Counter-strafing

9.1°Preaim

592msReaction time

33.4%T opening success

48.7%CT opening success

0.84Enemies flashed / flash

8.7%Flash assists

13.59HE damage / grenade

12.11Flashes / 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
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 33.3693% — below the 40% mark we flag

Spend your practice time on Ancient

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

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