K3mpa — CS2 Stats

76561199098765028[U:1:1138499300]✓ No bans

3,135Tracked matches66%Win rate2020Tracked since

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating19,247Purple band · top ~11.5% of ranked players (population est.)

CSDB Leaderboard#11227 of 23913 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning46

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY47–45–8Last 10047%Win rateWLWTLWWLWW

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

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

Aim8.5

Aggression6.0

Utility6.2

Positioning4.6

Opening Duels1.4

Clutch0.0

Sharp aimerStrong 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 NiKo 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning 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

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 48% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.5

Positioning4.6

Utility6.2

Mechanics5.7

Opening Duels2.2

Win Impact10.0

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 rating-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time487ms−106ms

first ⅓ avg 593ms → last ⅓ avg 487ms

Headshot accuracy18.6%+2.6%

first ⅓ avg 16.1% → last ⅓ avg 18.6%

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

0.12Best rating — inferno 9–7

13–1Biggest win — anubis

7Longest win streak

10–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 63% over 16nukeWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	24	8–16	33%	0.00
mirage	C	19	7–12	37%	-0.01
ancient	A	16	10–6	63%	0.00
cache	A	13	8–5	62%	0.00
nuke	D	7	2–5	29%	-0.01
dust2	A	7	4–3	57%	-0.00
anubis	A	5	3–2	60%	0.00
debris	—	3	1–2	33%	-0.03
eldorado	—	2	2–0	100%	0.06
fachwerk	—	2	2–0	100%	0.03
poseidon	—	1	0–1	0%	-0.09
boulder	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

331Matches

53%Win rate

0.93Avg K/D

67.5ADR

37%Headshot %

Clutches & streaks

0%1v1 clutch win

20%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	7	71%	1.30	17.9
Ancient	7	29%	0.77	14.0
Inferno	5	80%	0.75	13.8
Vertigo	4	25%	0.87	13.0
Overpass	3	0%	0.95	18.0
Anubis	2	50%	0.46	8.0
Nuke	2	0%	0.81	15.5
Dust2	1	100%	1.38	11.0

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.

18.4%Headshot accuracy

36.4%Accuracy (enemy spotted)

43.3%Spray accuracy

75.6%Counter-strafing

8.1°Preaim

482msReaction time

23.4%T opening success

47.9%CT opening success

0.53Enemies flashed / flash

10.7%Flash assists

9.39HE damage / grenade

13.01Flashes / 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 23.4488% — below the 40% mark we flag

Spend your practice time on Nuke

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–4	-0.02	18%	28 Aug →
inferno	10–13	0.01	13%	24 Aug →
mirage	13–9	0.05	20%	24 Aug →
ancient	15–15	0.05	16%	24 Aug →
mirage	9–13	0.03	13%	24 Aug →
inferno	16–13	-0.02	16%	23 Aug →
cache	13–7	0.10	22%	23 Aug →
mirage	5–13	-0.02	6%	23 Aug →
nuke	13–11	0.06	13%	23 Aug →
ancient	13–7	0.02	20%	23 Aug →
dust2	13–8	0.03	22%	23 Aug →
mirage	13–10	0.04	16%	23 Aug →
inferno	13–6	0.01	17%	23 Aug →
ancient	16–12	0.04	22%	23 Aug →
cache	13–6	0.03	41%	23 Aug →
inferno	7–9	0.00	15%	23 Aug →
nuke	13–11	-0.01	10%	22 Aug →
anubis	4–13	-0.08	11%	22 Aug →
ancient	13–11	0.01	16%	22 Aug →
inferno	13–7	0.02	24%	22 Aug →
anubis	16–12	-0.01	13%	22 Aug →
cache	4–13	-0.09	33%	21 Aug →
mirage	11–13	-0.05	17%	21 Aug →
mirage	7–13	-0.04	20%	21 Aug →
inferno	6–13	-0.08	21%	20 Aug →
cache	13–10	-0.03	25%	18 Aug →
dust2	13–6	-0.06	19%	18 Aug →
ancient	13–8	-0.04	15%	18 Aug →
inferno	13–4	0.02	27%	18 Aug →
ancient	10–13	-0.05	13%	18 Aug →
mirage	14–16	-0.03	22%	18 Aug →
dust2	13–11	-0.03	30%	18 Aug →
dust2	7–13	-0.05	9%	16 Aug →
mirage	13–9	-0.01	13%	16 Aug →
cache	10–13	-0.03	10%	16 Aug →
inferno	8–13	-0.04	19%	16 Aug →
cache	13–11	-0.04	20%	15 Aug →
mirage	13–10	-0.07	3%	4 Aug →
inferno	15–15	-0.05	19%	3 Aug →
cache	9–13	-0.04	22%	3 Aug →
cache	16–13	0.04	11%	2 Aug →
anubis	10–13	-0.01	11%	2 Aug →
mirage	13–10	-0.06	12%	2 Aug →
inferno	4–13	-0.00	13%	2 Aug →
ancient	8–13	-0.04	14%	2 Aug →
ancient	16–13	0.01	16%	2 Aug →
inferno	13–11	0.07	14%	30 Jul →
mirage	4–13	-0.00	19%	30 Jul →
inferno	5–13	0.03	29%	30 Jul →
mirage	13–4	0.06	37%	29 Jul →
inferno	9–13	-0.02	21%	29 Jul →
nuke	15–15	0.01	14%	29 Jul →
anubis	13–6	0.06	16%	29 Jul →
ancient	13–10	0.05	15%	29 Jul →
cache	11–13	0.01	16%	29 Jul →
inferno	13–7	0.11	24%	29 Jul →
inferno	4–13	0.02	21%	29 Jul →
mirage	11–13	-0.01	20%	27 Jul →
anubis	13–1	0.04	16%	27 Jul →
cache	13–2	0.03	32%	27 Jul →
mirage	8–13	0.00	23%	27 Jul →
ancient	10–13	-0.02	18%	27 Jul →
nuke	6–13	-0.04	15%	27 Jul →
mirage	7–13	-0.03	25%	26 Jul →
dust2	15–15	0.01	20%	26 Jul →
ancient	13–6	-0.01	16%	26 Jul →
inferno	8–8	-0.06	5%	26 Jul →
dust2	9–13	-0.00	24%	26 Jul →
dust2	16–12	0.08	17%	25 Jul →
mirage	10–13	-0.05	7%	25 Jul →
cache	13–11	0.05	13%	24 Jul →
inferno	9–7	0.12	16%	24 Jul →
cache	13–11	0.09	19%	24 Jul →
nuke	10–13	0.05	10%	24 Jul →
inferno	14–16	-0.02	19%	24 Jul →
ancient	13–7	0.00	6%	24 Jul →
ancient	10–13	0.03	15%	22 Jul →
inferno	13–5	0.06	13%	22 Jul →
inferno	4–9	-0.08	18%	22 Jul →
eldorado	9–7	0.03	17%	22 Jul →
debris	4–9	-0.12	22%	22 Jul →
fachwerk	13–9	-0.02	18%	21 Jul →
mirage	6–13	0.02	26%	21 Jul →
cache	6–13	-0.07	6%	21 Jul →
inferno	7–9	-0.15	13%	18 Jul →
poseidon	5–9	-0.09	13%	18 Jul →
nuke	11–13	0.01	15%	18 Jul →
ancient	9–13	-0.04	5%	18 Jul →
inferno	9–13	0.01	7%	17 Jul →
eldorado	9–4	0.08	16%	17 Jul →
debris	8–8	0.03	23%	17 Jul →
debris	9–5	0.00	11%	17 Jul →
fachwerk	13–5	0.08	14%	16 Jul →
boulder	12–12	0.01	17%	16 Jul →
mirage	11–13	-0.05	38%	8 Jul →
inferno	12–12	0.02	47%	7 Jul →
mirage	13–7	-0.03	14%	7 Jul →
ancient	13–9	0.05	19%	7 Jul →
inferno	11–13	0.03	14%	7 Jul →
nuke	2–9	-0.11	0%	6 Jul →