KUBLAJ — CS2 Stats

DJ76561198280821415[U:1:320555687]Steam profile ↗✓ No bans

1,585Tracked matches59%Win rate2021Tracked since

1,967Hours in CS2Hrs last 2 wks

CSDB Rating6.8 SolidPositional Player

CSDB Leaderboard#64009 of 259989 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Rating over time

21,466Peak Premier in tracked matches

27Days played since 2026-07-01

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 5 among CSDB-tracked players (n=14,283), 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 5 median	Level 6 median	vs Level 6
Headshot rate	44.8%	43.8%	44.8%	meets
Shot accuracy	8.8%	12.0%	12.4%	3.6% short
Kill/death ratio	0.94	1.02	1.03	0.10 short
Match win rate	44.8%	44.7%	45.2%	meets

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim81

Positioning61

Utility55

0–100 skill scores via Leetify.

Recent form

COLD40–50–10Last 10040%Win rateWLLLLWWLTT

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −3.9pp headshot accuracy · −44ms reaction

Win rate down 30pp 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

1–4 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 15%
Avg reaction 556ms

Last 10

3–5–2 · 30% win rate
Avg rating -0.01
Avg headshot accuracy 15%
Avg reaction 528ms

Last 20

9–8–3 · 45% win rate
Avg rating -0.00
Avg headshot accuracy 17%
Avg reaction 549ms

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: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim8.1

Utility5.5

Positioning6.1

Opening Duels3.6

Clutch3.0

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 Twistzz 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.1

Positioning6.1

Utility5.5

Mechanics7.0

Opening Duels4.2

Win Impact8.1

Composite 6.8/10 (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 rating0.01+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time542ms−12ms

first ⅓ avg 554ms → last ⅓ avg 542ms

Headshot accuracy17.2%−1.0%

first ⅓ avg 18.2% → last ⅓ avg 17.2%

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

0.15Best match rating · 13–5 · cache, 14 Jul →

43%Best headshot accuracy · 6–13 · train, 11 Jul →

406msFastest reaction time · 8–13 · anubis, 26 Sept →

13–0Biggest win · nuke, 20 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak

3–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

overpassBest map · 88% over 8dust2Weakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	19	7–12	37%	-0.01
vertigo	B	14	7–7	50%	0.00
nuke	C	14	6–8	43%	-0.00
cache	D	13	3–10	23%	-0.01
anubis	C	12	5–7	42%	-0.00
ancient	C	10	4–6	40%	-0.02
overpass	S	8	7–1	88%	0.04
dust2	D	5	0–5	0%	-0.02
train	—	4	1–3	25%	0.02
mirage	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,139Lifetime kills

0.94K/D

3,251Matches

44.8%Match win rate · Top 50% of Level 5 players

44.8%Headshot % · Top 50% of Level 5 players

8.8%Shot accuracy

7,366MVPs

1,233Hours (in match)

3,625Bombs planted

607Bombs defused

Most-used weapons

AK-4716,617

M4A4 / M4A1-S9,008

AWP5,716

Desert Eagle4,450

P2000 / USP-S3,777

MP92,176

Glock-182,153

SSG 081,482

Galil AR1,443

MAC-101,358

Lifetime map wins

7,335inferno

2,704nuke

2,530vertigo

2,362dust2

770train

238cbble

165office

59lake

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

Faceit stats

Combat

145Matches

51%Win rate

0.88Avg K/D

68.5ADR

42%Headshot %

Clutches & streaks

35%1v1 clutch win

13%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	33	52%	0.87	12.5
Ancient	17	47%	0.84	11.8
Anubis	14	86%	0.76	12.1
Nuke	13	31%	0.79	11.4
Dust2	11	36%	0.83	15.8
Mirage	10	30%	0.86	11.4
Vertigo	7	86%	0.91	15.0
Overpass	5	40%	0.64	12.2

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.

17.4%Headshot accuracy

34.1%Accuracy (enemy spotted)

42.1%Spray accuracy

81.3%Counter-strafing

7.8°Preaim

544msReaction time

53.8%T opening success

40.1%CT opening success

0.52Enemies flashed / flash

5.6%Flash assists

8.84HE damage / grenade

9.89Flashes / match

Recommended for you

Spend your practice time on Dust 2

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 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	13–2	-0.02	14%	31 Oct →
ancient	6–13	-0.10	12%	25 Oct →
vertigo	6–13	0.05	11%	25 Oct →
inferno	6–13	0.00	20%	25 Oct →
overpass	8–13	-0.04	19%	17 Oct →
ancient	13–2	0.03	15%	17 Oct →
vertigo	13–4	0.04	22%	17 Oct →
inferno	11–13	-0.01	6%	17 Oct →
nuke	12–12	-0.04	15%	17 Oct →
inferno	12–12	-0.00	20%	2 Oct →
cache	9–13	0.03	15%	2 Oct →
anubis	13–7	0.09	21%	2 Oct →
nuke	13–11	-0.07	21%	2 Oct →
vertigo	13–3	-0.04	18%	28 Sept →
cache	12–12	-0.01	13%	27 Sept →
anubis	8–13	-0.09	31%	27 Sept →
nuke	13–6	0.11	14%	27 Sept →
overpass	13–10	0.04	20%	27 Sept →
inferno	13–4	0.02	22%	27 Sept →
cache	11–13	-0.04	18%	26 Sept →
nuke	13–7	-0.03	14%	26 Sept →
inferno	13–6	0.00	31%	26 Sept →
overpass	13–3	-0.01	10%	26 Sept →
anubis	8–13	-0.03	7%	26 Sept →
vertigo	13–4	0.07	29%	26 Sept →
vertigo	9–13	0.02	20%	18 Sept →
anubis	13–7	0.00	15%	18 Sept →
dust2	1–13	-0.02	9%	18 Sept →
vertigo	13–9	0.15	15%	18 Sept →
nuke	13–7	0.05	23%	18 Sept →
inferno	13–6	0.06	13%	18 Sept →
cache	7–13	0.00	22%	18 Sept →
cache	11–13	-0.02	11%	12 Sept →
inferno	13–8	-0.04	31%	12 Sept →
ancient	10–13	-0.05	22%	12 Sept →
anubis	12–12	0.01	12%	12 Sept →
nuke	3–13	0.01	27%	9 Sept →
cache	6–13	-0.03	17%	9 Sept →
overpass	13–9	0.01	11%	9 Sept →
dust2	2–13	-0.05	15%	9 Sept →
cache	3–13	-0.12	22%	8 Sept →
overpass	13–8	-0.03	20%	8 Sept →
overpass	13–1	0.12	33%	8 Sept →
inferno	13–1	0.15	18%	8 Sept →
vertigo	12–12	0.04	19%	8 Sept →
nuke	10–13	0.04	34%	7 Sept →
cache	5–13	-0.02	16%	7 Sept →
vertigo	10–13	0.01	16%	7 Sept →
anubis	11–13	0.06	11%	7 Sept →
inferno	9–13	0.07	27%	7 Sept →
inferno	12–12	-0.03	16%	2 Sept →
mirage	9–13	0.00	12%	2 Sept →
cache	13–9	0.01	12%	2 Sept →
anubis	10–13	0.01	8%	31 Aug →
ancient	0–13	-0.03	24%	31 Aug →
inferno	1–13	-0.06	29%	31 Aug →
vertigo	4–13	-0.03	17%	25 Jul →
anubis	13–9	-0.02	22%	25 Jul →
ancient	13–9	-0.05	9%	25 Jul →
anubis	0–13	-0.08	8%	25 Jul →
inferno	3–13	-0.07	21%	22 Jul →
cache	6–13	-0.06	23%	21 Jul →
inferno	4–13	-0.04	15%	21 Jul →
vertigo	13–9	-0.09	9%	21 Jul →
nuke	13–0	0.06	10%	20 Jul →
train	12–12	0.06	21%	20 Jul →
overpass	13–1	0.12	24%	20 Jul →
ancient	6–13	-0.03	13%	20 Jul →
inferno	14–16	0.04	19%	20 Jul →
cache	8–13	-0.08	24%	19 Jul →
inferno	10–13	-0.06	26%	19 Jul →
ancient	2–13	-0.05	27%	17 Jul →
inferno	13–5	-0.01	14%	17 Jul →
nuke	1–9	-0.12	7%	17 Jul →
vertigo	3–9	-0.12	9%	17 Jul →
inferno	5–9	-0.10	14%	17 Jul →
dust2	7–13	-0.04	18%	14 Jul →
ancient	13–5	0.06	28%	14 Jul →
overpass	13–3	0.08	18%	14 Jul →
anubis	13–10	-0.02	12%	14 Jul →
train	13–8	0.04	22%	14 Jul →
ancient	13–8	0.01	16%	14 Jul →
nuke	11–13	0.01	14%	14 Jul →
cache	13–5	0.15	23%	14 Jul →
vertigo	9–13	-0.06	22%	14 Jul →
inferno	9–13	-0.06	20%	14 Jul →
anubis	12–12	-0.02	15%	11 Jul →
train	6–13	-0.01	43%	11 Jul →
nuke	12–12	-0.04	35%	10 Jul →
vertigo	13–11	-0.00	16%	9 Jul →
inferno	6–4	-0.06	10%	9 Jul →
ancient	15–15	-0.03	12%	9 Jul →
anubis	13–10	0.01	10%	9 Jul →
cache	13–2	0.08	12%	9 Jul →
dust2	6–13	-0.01	25%	9 Jul →
nuke	13–10	0.07	23%	7 Jul →
train	3–13	-0.03	13%	7 Jul →
dust2	5–13	-0.01	14%	7 Jul →
nuke	9–13	-0.03	21%	6 Jul →
nuke	9–13	-0.04	9%	1 Jul →