kartenn† — CS2 Stats

MC76561199105860084[U:1:1145594356]Steam profile ↗✓ No bans

529Tracked matches48%Win rate2020Tracked since

CSDB Rating6.6 SolidHybrid Rifler

Premier CS Rating20,691Top 50% of 44,590 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)

CSDB Leaderboard#20259 of 59723 tracked

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim91

Positioning52

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLTWWWLLLWL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

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

Aim9.1

Aggression5.5

Utility5.3

Positioning5.2

Opening Duels2.4

Clutch3.0

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 94% playstyle similarity

Most alike: opening-fight frequency, 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

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 51% on CT to 28% 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

Aim9.1

Positioning5.2

Utility5.3

Mechanics7.8

Opening Duels2.7

Win Impact4.4

Composite 6.6/10 (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 rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time508ms−111ms

first ⅓ avg 619ms → last ⅓ avg 508ms

Headshot accuracy20.2%−1.6%

first ⅓ avg 21.8% → last ⅓ avg 20.2%

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.

Highlights

0.29Best rating — debris 9–4

13–3Biggest win — nuke

4Longest win streak

6–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 67% over 12dust2Weakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	29	10–19	34%	0.03
inferno	B	16	8–8	50%	0.04
ancient	A	16	10–6	63%	0.03
nuke	S	12	8–4	67%	0.00
anubis	B	10	5–5	50%	0.05
cache	A	7	4–3	57%	0.04
dust2	D	6	0–6	0%	0.02
overpass	—	2	0–2	0%	-0.04
debris	—	1	1–0	100%	0.29
train	—	1	0–1	0%	0.13

Across the last 100 tracked matches.

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

Faceit stats

Combat

196Matches

59%Win rate

1.51Avg K/D

80.6ADR

41%Headshot %

Clutches & streaks

35%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	60	58%	1.64	17.7
Anubis	25	52%	1.21	16.4
Ancient	19	32%	1.16	16.8
Inferno	12	42%	1.33	19.8
Nuke	12	67%	1.65	23.6
Vertigo	9	44%	1.30	17.0
Dust2	6	67%	1.11	18.2
Overpass	4	75%	1.26	12.8

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.

20.6%Headshot accuracy

40.5%Accuracy (enemy spotted)

43.6%Spray accuracy

85.1%Counter-strafing

8.7°Preaim

506msReaction time

27.8%T opening success

51.3%CT opening success

0.53Enemies flashed / flash

10.0%Flash assists

8.45HE damage / grenade

11.86Flashes / 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 27.7504% — below the 40% mark we flag

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 6 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
nuke	10–13	0.04	21%	30 Aug →
dust2	15–15	0.09	20%	30 Aug →
inferno	13–9	0.09	26%	29 Aug →
ancient	13–7	0.04	24%	29 Aug →
nuke	13–6	0.08	17%	29 Aug →
nuke	9–13	-0.05	13%	29 Aug →
anubis	5–13	0.01	3%	29 Aug →
ancient	10–13	-0.04	23%	28 Aug →
ancient	13–7	0.06	28%	28 Aug →
nuke	11–13	-0.05	50%	28 Aug →
anubis	7–13	0.03	16%	28 Aug →
ancient	13–7	0.08	19%	28 Aug →
cache	1–13	-0.07	38%	28 Aug →
mirage	1–13	0.01	20%	28 Aug →
inferno	6–13	-0.08	13%	27 Aug →
cache	16–14	-0.09	32%	26 Aug →
mirage	2–13	-0.03	0%	26 Aug →
ancient	13–7	-0.06	15%	26 Aug →
cache	13–11	0.18	31%	26 Aug →
anubis	11–13	-0.02	15%	26 Aug →
anubis	10–13	-0.02	19%	21 Aug →
dust2	5–13	0.00	7%	21 Aug →
nuke	13–3	-0.06	7%	21 Aug →
cache	7–13	0.01	18%	21 Aug →
nuke	13–9	0.06	27%	21 Aug →
inferno	13–9	0.04	15%	21 Aug →
anubis	13–7	0.08	32%	21 Aug →
nuke	13–10	0.06	19%	21 Aug →
ancient	2–8	0.09	22%	21 Aug →
inferno	13–5	0.07	13%	19 Aug →
debris	9–4	0.29	22%	19 Aug →
anubis	13–7	0.13	24%	19 Aug →
inferno	11–13	0.06	21%	19 Aug →
anubis	13–8	0.12	20%	19 Aug →
mirage	7–13	0.04	17%	19 Aug →
ancient	4–13	-0.06	9%	19 Aug →
mirage	13–5	0.10	39%	19 Aug →
mirage	8–13	0.07	34%	19 Aug →
dust2	7–13	-0.02	20%	19 Aug →
mirage	9–13	-0.01	24%	19 Aug →
nuke	13–6	0.03	21%	19 Aug →
ancient	13–10	0.02	20%	19 Aug →
ancient	10–13	0.05	13%	19 Aug →
nuke	15–15	-0.02	27%	19 Aug →
nuke	13–10	-0.01	13%	18 Aug →
inferno	13–11	0.10	26%	17 Aug →
nuke	13–9	-0.02	20%	17 Aug →
inferno	11–3	0.13	33%	17 Aug →
cache	8–13	0.06	16%	17 Aug →
ancient	13–10	0.08	19%	17 Aug →
mirage	13–9	0.11	23%	17 Aug →
train	6–13	0.13	43%	17 Aug →
mirage	3–13	-0.01	30%	17 Aug →
inferno	9–13	0.07	22%	17 Aug →
mirage	13–9	0.17	19%	15 Aug →
ancient	13–3	0.29	19%	15 Aug →
inferno	13–16	0.02	26%	15 Aug →
mirage	9–13	0.01	21%	15 Aug →
cache	10–1	0.16	27%	15 Aug →
inferno	13–3	0.09	24%	5 Jun →
mirage	6–13	0.02	15%	2 Jun →
mirage	13–11	-0.04	15%	2 Jun →
dust2	10–13	0.02	12%	31 May →
mirage	13–16	0.06	18%	28 May →
ancient	13–8	0.02	13%	23 May →
mirage	11–13	0.05	23%	23 May →
anubis	13–9	0.02	35%	23 May →
dust2	10–13	0.04	6%	20 May →
mirage	13–4	0.15	31%	20 May →
mirage	15–15	0.01	20%	20 May →
ancient	3–13	-0.01	18%	20 May →
mirage	3–13	-0.02	28%	18 May →
ancient	5–13	-0.04	13%	18 May →
overpass	9–13	-0.08	22%	18 May →
inferno	2–13	-0.07	16%	18 May →
mirage	11–13	0.08	41%	16 May →
mirage	8–13	-0.05	29%	16 May →
inferno	3–13	-0.06	15%	16 May →
nuke	13–11	-0.00	27%	13 May →
ancient	13–6	0.03	21%	13 May →
mirage	13–5	0.07	26%	13 May →
inferno	13–4	0.14	48%	13 May →
mirage	8–13	-0.02	29%	13 May →
mirage	10–13	0.04	27%	13 May →
ancient	13–4	-0.00	9%	13 May →
inferno	9–13	0.01	24%	11 May →
mirage	13–7	-0.07	27%	11 May →
anubis	5–13	-0.06	9%	11 May →
overpass	8–13	0.00	13%	11 May →
mirage	4–13	0.01	19%	11 May →
anubis	13–5	0.20	25%	10 May →
inferno	13–6	0.05	17%	10 May →
mirage	5–13	-0.01	21%	10 May →
mirage	13–6	0.08	26%	10 May →
mirage	13–8	0.11	18%	9 May →
mirage	13–8	0.01	21%	9 May →
dust2	8–13	-0.03	20%	6 May →
cache	13–11	0.01	19%	6 May →
mirage	7–13	-0.05	14%	6 May →
inferno	8–13	-0.05	20%	4 May →