Jenda — CS2 Stats

CZ76561198128690052[U:1:168424324]Steam profile ↗

2,936Tracked matches50%Win rate2020Tracked since

4,024Hours in CS15Hrs last 2 wks

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating27,101Top 10% of 17,162 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)

CSDB Leaderboard#1053 of 24425 tracked

FaceitLevel 9 · 1,778 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median	Level 10 median	vs Level 10
Headshot rate	49.3%	49.0%	52.0%	2.7% short
Shot accuracy	15.7%	13.1%	13.7%	above
Kill/death ratio	1.30	1.08	1.08	above
Match win rate	42.7%	46.9%	48.8%	6.0% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim73

Positioning54

Utility74

0–100 skill scores via Leetify.

Recent form

COLD55–43–2Last 10055%Win rateLLWTTWLLLW

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.

Aim7.3

Aggression5.1

Utility7.4

Positioning5.4

Opening Duels2.2

Clutch4.4

Effective flashes

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 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 →

CSDB Rating breakdown

Aim7.3

Positioning5.4

Utility7.4

Mechanics6.3

Opening Duels2.2

Win Impact5.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time534ms−22ms

first ⅓ avg 556ms → last ⅓ avg 534ms

Headshot accuracy17.8%−1.3%

first ⅓ avg 19.1% → last ⅓ avg 17.8%

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

0.23Best rating — cache 13–1

13–0Biggest win — mirage

7Longest win streak

L2Current streak

9–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

mirageBest map · 67% over 6infernoWeakest map · 46% over 24

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	28	18–10	64%	0.01
inferno	B	24	11–13	46%	0.01
ancient	A	19	11–8	58%	0.01
cache	B	14	7–7	50%	0.03
mirage	S	6	4–2	67%	0.00
anubis	B	6	3–3	50%	0.02
nuke	—	2	1–1	50%	0.06
vertigo	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (46% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

166,925Lifetime kills

1.30K/D · Top 25% of Level 9 players

5,559Matches

42.7%Match win rate

49.3%Headshot % · Top 50% of Level 9 players

15.7%Shot accuracy · Top 50% of Level 9 players

13,373MVPs

3,508Hours (in match)

4,945Bombs planted

1,015Bombs defused

Most-used weapons

AK-4766,592

M4A4 / M4A1-S42,316

Desert Eagle9,180

AWP8,382

P2000 / USP-S7,838

Glock-184,855

XM10142,623

MP72,590

Knife2,549

Galil AR2,483

Lifetime map wins

13,592inferno

9,398dust2

5,408cbble

2,801vertigo

1,061nuke

531train

225office

83lake

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

Faceit stats

Combat

1,088Matches

51%Win rate

1.15Avg K/D

84.3ADR

42%Headshot %

Clutches & streaks

42%1v1 clutch win

25%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	57	46%	1.14	16.4
Inferno	55	45%	1.21	18.1
Mirage	55	49%	1.04	15.4
Ancient	54	63%	1.24	18.7
Anubis	35	60%	1.15	15.3
Vertigo	16	44%	1.20	19.2
Nuke	12	42%	1.21	18.1
Cache	10	40%	1.29	18.2

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.

17.6%Headshot accuracy

34.2%Accuracy (enemy spotted)

35.6%Spray accuracy

78.2%Counter-strafing

9.0°Preaim

532msReaction time

31.8%T opening success

45.6%CT opening success

0.72Enemies flashed / flash

10.8%Flash assists

9.66HE damage / grenade

16.01Flashes / 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 31.826% — 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.

46% win rate across 24 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
ancient	11–13	0.08	19%	26 Aug →
ancient	10–13	-0.01	10%	26 Aug →
mirage	13–11	-0.01	16%	25 Aug →
vertigo	12–12	0.01	7%	24 Aug →
cache	12–12	-0.01	18%	24 Aug →
dust2	13–4	0.01	14%	24 Aug →
cache	9–13	0.05	12%	24 Aug →
dust2	4–13	-0.06	18%	23 Aug →
dust2	10–13	0.02	13%	12 Aug →
dust2	13–6	0.08	31%	12 Aug →
cache	13–6	0.02	30%	12 Aug →
ancient	13–10	-0.01	13%	12 Aug →
mirage	8–13	-0.06	4%	10 Aug →
anubis	11–13	-0.03	19%	10 Aug →
inferno	13–10	0.07	14%	10 Aug →
dust2	13–4	0.07	16%	6 Aug →
dust2	6–13	-0.04	15%	6 Aug →
anubis	16–14	0.04	13%	5 Aug →
ancient	7–13	-0.03	21%	5 Aug →
dust2	13–6	0.02	22%	5 Aug →
nuke	13–16	0.04	22%	4 Aug →
dust2	11–13	0.01	19%	4 Aug →
inferno	4–13	-0.04	19%	4 Aug →
ancient	13–5	0.04	14%	4 Aug →
dust2	16–13	-0.00	21%	4 Aug →
ancient	10–13	0.03	15%	4 Aug →
dust2	13–10	0.04	31%	4 Aug →
anubis	13–7	0.08	15%	4 Aug →
ancient	13–4	0.04	30%	4 Aug →
ancient	4–13	-0.01	24%	3 Aug →
dust2	12–16	0.05	17%	3 Aug →
inferno	11–13	-0.04	14%	3 Aug →
cache	13–3	0.02	24%	3 Aug →
nuke	13–8	0.07	20%	2 Aug →
cache	11–13	-0.05	12%	2 Aug →
inferno	19–17	-0.02	15%	2 Aug →
dust2	2–13	-0.06	22%	2 Aug →
ancient	13–10	-0.00	15%	2 Aug →
mirage	16–13	-0.01	11%	1 Aug →
inferno	17–19	0.01	20%	1 Aug →
inferno	13–16	0.05	19%	1 Aug →
cache	8–13	-0.01	12%	31 Jul →
mirage	13–8	-0.00	10%	31 Jul →
cache	13–6	0.09	17%	31 Jul →
cache	2–13	0.03	27%	31 Jul →
dust2	13–10	-0.02	13%	30 Jul →
cache	13–5	0.04	29%	30 Jul →
inferno	10–13	-0.11	10%	29 Jul →
ancient	13–5	-0.04	15%	29 Jul →
cache	8–13	-0.04	10%	28 Jul →
inferno	7–13	-0.02	22%	28 Jul →
dust2	13–11	0.00	9%	28 Jul →
ancient	13–11	0.03	13%	27 Jul →
inferno	3–13	-0.04	32%	27 Jul →
dust2	13–16	-0.01	13%	27 Jul →
ancient	13–8	0.02	13%	22 Jul →
inferno	6–13	-0.03	22%	22 Jul →
dust2	13–10	0.02	20%	22 Jul →
dust2	13–6	0.11	15%	22 Jul →
ancient	13–8	0.02	12%	22 Jul →
dust2	13–11	-0.02	14%	22 Jul →
dust2	13–9	-0.02	16%	21 Jul →
ancient	13–6	0.06	17%	21 Jul →
mirage	13–0	0.06	56%	21 Jul →
ancient	5–13	-0.04	2%	20 Jul →
inferno	13–7	0.08	21%	20 Jul →
dust2	13–7	-0.01	26%	20 Jul →
cache	3–13	-0.04	16%	20 Jul →
dust2	13–6	-0.02	26%	18 Jul →
inferno	13–11	0.06	24%	18 Jul →
inferno	11–13	0.05	24%	18 Jul →
ancient	16–13	-0.01	16%	18 Jul →
mirage	8–13	0.02	14%	18 Jul →
inferno	10–13	0.03	23%	18 Jul →
inferno	16–13	0.01	11%	17 Jul →
dust2	13–9	0.09	15%	17 Jul →
dust2	7–3	0.01	16%	17 Jul →
anubis	8–13	-0.03	11%	17 Jul →
dust2	13–1	0.03	32%	17 Jul →
dust2	11–13	-0.02	17%	17 Jul →
cache	13–3	0.07	18%	16 Jul →
ancient	11–13	0.07	18%	16 Jul →
inferno	13–9	0.05	18%	16 Jul →
inferno	13–9	0.03	13%	16 Jul →
inferno	13–9	0.00	21%	15 Jul →
ancient	13–11	-0.02	9%	15 Jul →
ancient	10–13	0.00	27%	15 Jul →
dust2	10–13	-0.00	14%	15 Jul →
anubis	16–14	0.05	18%	14 Jul →
cache	13–7	-0.02	24%	14 Jul →
inferno	13–6	0.06	26%	13 Jul →
inferno	13–4	0.12	13%	13 Jul →
cache	13–1	0.23	23%	13 Jul →
anubis	9–13	0.02	19%	13 Jul →
dust2	10–13	0.03	26%	13 Jul →
inferno	11–13	-0.03	19%	8 Jul →
dust2	13–10	0.02	31%	8 Jul →
inferno	11–13	0.01	16%	7 Jul →
inferno	13–3	0.05	20%	6 Jul →
inferno	8–13	-0.01	14%	6 Jul →