the LAST K4NA — CS2 Stats

JP76561198780129533[U:1:819863805]Steam profile ↗✓ No bans

1,134Tracked matches47%Win rate2025Tracked since

1,014Hours in CS73Hrs last 2 wks

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating19,754Purple band · top ~9.5% of ranked players (population est.)

CSDB Leaderboard#20810 of 51130 tracked

WingmanMaster Guardian Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	60.3%	44.2%	47.1%	above
Shot accuracy	0.0%	11.6%	12.8%	12.8% short
Kill/death ratio	1.09	1.03	1.08	meets
Match win rate	52.3%	45.2%	46.6%	above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band 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

Positioning58

Utility63

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateLWLWLLLLLL

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.1

Aggression8.8

Utility6.3

Positioning5.8

Opening Duels3.7

Clutch6.0

Strong CT-side opener

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 jL 94% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 53% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim8.1

Positioning5.8

Utility6.3

Mechanics7.7

Opening Duels3.7

Win Impact3.9

Composite 6.5/10 (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 rating0.00−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time587ms−24ms

first ⅓ avg 611ms → last ⅓ avg 587ms

Headshot accuracy32.1%+4.0%

first ⅓ avg 28.1% → last ⅓ avg 32.1%

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

0.14Best rating — inferno 13–3

13–3Biggest win — inferno

5Longest win streak

9–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 58% over 12ancientWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	21	8–13	38%	0.00
inferno	B	19	9–10	47%	0.02
mirage	C	18	8–10	44%	0.01
ancient	C	14	5–9	36%	0.01
cache	A	12	7–5	58%	0.02
nuke	A	9	5–4	56%	-0.01
anubis	C	7	3–4	43%	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

21,236Lifetime kills

1.09K/D · Top 50% of Purple band

1,282Matches

52.3%Match win rate · Top 10% of Purple band

60.3%Headshot % · Top 10% of Purple band

0.0%Shot accuracy

3,363MVPs

498Hours (in match)

1,168Bombs planted

428Bombs defused

Most-used weapons

AK-477,053

M4A4 / M4A1-S3,194

AWP3,046

Desert Eagle2,522

P2000 / USP-S1,206

MP91,046

MAC-10824

P250650

Glock-18439

SSG 08349

Lifetime map wins

2,912dust2

2,666inferno

1,182nuke

102train

91vertigo

34office

8italy

2ar_shoots

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

Faceit stats

Combat

11Matches

55%Win rate

0.95Avg K/D

82.4ADR

68%Headshot %

Clutches & streaks

50%1v1 clutch win

8%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	4	50%	0.96	15.8
Mirage	3	67%	0.83	16.3
Anubis	2	0%	0.97	21.0
Overpass	1	100%	1.30	13.0
Cache	1	100%	0.82	14.0

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.

30.1%Headshot accuracy

32.3%Accuracy (enemy spotted)

35.2%Spray accuracy

84.8%Counter-strafing

10.6°Preaim

579msReaction time

35.7%T opening success

53.5%CT opening success

0.70Enemies flashed / flash

12.6%Flash assists

7.61HE damage / grenade

8.60Flashes / 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 35.744% — 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
mirage	11–13	0.00	31%	30 Aug →
dust2	13–10	0.10	56%	30 Aug →
inferno	5–13	-0.01	34%	30 Aug →
dust2	13–11	0.01	26%	30 Aug →
inferno	7–13	0.00	33%	29 Aug →
dust2	11–13	-0.03	29%	29 Aug →
ancient	4–13	0.01	20%	29 Aug →
inferno	5–13	-0.01	40%	29 Aug →
nuke	7–13	-0.04	41%	29 Aug →
mirage	13–16	0.06	37%	29 Aug →
cache	8–13	0.02	16%	29 Aug →
cache	13–8	0.07	17%	29 Aug →
cache	2–13	-0.04	37%	29 Aug →
nuke	7–13	-0.01	28%	28 Aug →
mirage	13–11	-0.05	22%	28 Aug →
anubis	13–6	0.09	25%	28 Aug →
mirage	13–8	0.04	29%	28 Aug →
inferno	13–6	-0.03	26%	28 Aug →
dust2	13–11	-0.01	27%	28 Aug →
dust2	1–13	-0.07	67%	28 Aug →
mirage	3–13	-0.05	41%	28 Aug →
dust2	13–7	0.03	35%	28 Aug →
dust2	8–3	-0.01	46%	28 Aug →
mirage	13–7	0.04	39%	27 Aug →
dust2	7–13	-0.06	24%	27 Aug →
cache	13–8	0.02	10%	26 Aug →
anubis	13–11	0.07	23%	26 Aug →
nuke	13–6	-0.02	31%	26 Aug →
mirage	10–13	0.01	29%	26 Aug →
inferno	14–16	-0.02	16%	25 Aug →
nuke	13–11	-0.02	58%	25 Aug →
mirage	9–13	-0.03	35%	25 Aug →
inferno	13–11	0.02	35%	25 Aug →
ancient	8–13	0.05	34%	25 Aug →
ancient	10–13	0.03	25%	25 Aug →
dust2	13–10	0.05	26%	25 Aug →
ancient	7–13	0.01	34%	25 Aug →
ancient	13–7	0.01	30%	25 Aug →
cache	13–8	0.01	21%	23 Aug →
dust2	13–6	0.01	19%	23 Aug →
mirage	16–13	0.03	18%	23 Aug →
inferno	10–13	-0.07	37%	22 Aug →
mirage	16–13	0.02	14%	22 Aug →
inferno	13–3	0.10	24%	22 Aug →
anubis	7–13	0.02	32%	22 Aug →
dust2	12–12	-0.01	45%	22 Aug →
mirage	1–13	-0.06	22%	22 Aug →
mirage	13–11	0.05	27%	22 Aug →
nuke	7–13	-0.03	20%	22 Aug →
cache	2–13	-0.04	15%	22 Aug →
nuke	13–5	0.01	27%	22 Aug →
cache	13–3	0.08	26%	22 Aug →
dust2	9–13	0.01	41%	22 Aug →
mirage	6–13	-0.04	21%	21 Aug →
ancient	13–5	0.10	12%	21 Aug →
dust2	4–13	-0.01	46%	21 Aug →
cache	13–5	0.08	38%	21 Aug →
ancient	3–13	-0.04	58%	21 Aug →
inferno	1–13	-0.09	8%	21 Aug →
ancient	13–6	0.02	43%	21 Aug →
inferno	13–4	0.09	36%	21 Aug →
mirage	11–13	0.03	35%	21 Aug →
anubis	0–13	-0.09	22%	21 Aug →
ancient	6–13	-0.06	24%	20 Aug →
dust2	13–6	0.08	26%	20 Aug →
inferno	11–13	0.04	28%	20 Aug →
mirage	16–14	0.06	29%	20 Aug →
inferno	13–3	0.14	24%	20 Aug →
cache	11–13	0.03	27%	19 Aug →
anubis	13–10	-0.05	29%	19 Aug →
dust2	15–15	-0.01	28%	19 Aug →
nuke	13–4	-0.00	25%	19 Aug →
inferno	5–13	-0.06	58%	19 Aug →
inferno	13–10	0.09	29%	19 Aug →
anubis	4–13	-0.01	34%	19 Aug →
dust2	0–13	-0.08	25%	18 Aug →
mirage	15–15	-0.06	32%	18 Aug →
ancient	13–7	0.01	13%	18 Aug →
anubis	10–13	0.02	40%	18 Aug →
nuke	13–7	0.00	37%	18 Aug →
ancient	4–13	-0.03	22%	18 Aug →
dust2	6–13	0.00	19%	18 Aug →
inferno	13–5	0.05	27%	16 Aug →
mirage	7–13	0.02	25%	16 Aug →
dust2	11–13	-0.01	24%	16 Aug →
ancient	4–13	0.02	24%	16 Aug →
inferno	7–13	0.05	20%	14 Aug →
nuke	4–13	0.05	29%	14 Aug →
cache	7–13	-0.05	26%	14 Aug →
dust2	10–13	0.03	27%	14 Aug →
cache	13–8	-0.00	28%	13 Aug →
ancient	13–7	0.01	30%	13 Aug →
inferno	13–7	0.01	43%	13 Aug →
dust2	13–16	-0.00	31%	13 Aug →
inferno	12–16	0.06	20%	13 Aug →
cache	13–11	0.09	20%	13 Aug →
dust2	8–13	0.06	44%	13 Aug →
mirage	13–8	0.10	27%	12 Aug →
inferno	13–9	0.08	20%	12 Aug →
ancient	8–13	-0.04	24%	12 Aug →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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