kataramenos99 — CS2 Stats

GR76561198813217973[U:1:852952245]Steam profile ↗✓ No bans

887Tracked matches46%Win rate2021Tracked since

CSDB Rating5.9 SolidAggressive Rifler

Premier CS Rating15,108Purple band · top ~28% of ranked players (population est.)

CSDB Leaderboard#34599 of 58264 tracked

FaceitLevel 4 · 1,148 ELOTop 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning65

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateLLWLLWWWLW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

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

Aim7.6

Aggression10.0

Utility5.1

Positioning6.5

Opening Duels5.6

Clutch2.8

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 ZywOo 89% playstyle similarity

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

Where you differ: lower utility contribution; lower 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

Areas to improve

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim7.6

Positioning6.5

Utility5.1

Mechanics4.0

Opening Duels5.6

Win Impact3.8

Composite 5.9/10 (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 time522ms−91ms

first ⅓ avg 613ms → last ⅓ avg 522ms

Headshot accuracy11.8%−0.9%

first ⅓ avg 12.7% → last ⅓ avg 11.8%

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

0.13Best rating — mirage 13–10

13–2Biggest win — mirage

7Longest win streak

L2Current streak

4–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 78% over 9ancientWeakest map · 45% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	14–14	50%	-0.01
mirage	B	21	10–11	48%	0.01
inferno	A	19	12–7	63%	0.00
ancient	B	11	5–6	45%	-0.02
anubis	A	9	5–4	56%	0.05
nuke	S	9	7–2	78%	0.05
cache	—	2	0–2	0%	0.02
italy	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

150Matches

49%Win rate

1.11Avg K/D

91.8ADR

33%Headshot %

Clutches & streaks

34%1v1 clutch win

18%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	38	58%	1.09	16.0
Mirage	31	45%	1.18	18.9
Inferno	22	55%	1.28	17.4
Anubis	13	69%	1.15	18.3
Ancient	11	27%	1.04	17.4
Nuke	10	60%	1.22	19.2
Vertigo	6	67%	1.25	15.7
Overpass	3	67%	1.10	24.3

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.

12.0%Headshot accuracy

39.8%Accuracy (enemy spotted)

43.7%Spray accuracy

67.9%Counter-strafing

8.2°Preaim

516msReaction time

50.1%T opening success

55.0%CT opening success

0.67Enemies flashed / flash

8.8%Flash assists

7.86HE damage / grenade

5.78Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.0162% — below the 15% mark we flag
Aim Training →

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.

45% win rate across 11 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
dust2	3–13	-0.03	26%	26 Aug →
cache	11–13	0.11	18%	23 Aug →
inferno	16–13	0.08	17%	23 Aug →
ancient	6–13	-0.07	16%	23 Aug →
mirage	10–13	-0.00	10%	22 Aug →
anubis	13–4	0.10	5%	22 Aug →
nuke	13–10	0.01	4%	22 Aug →
mirage	13–7	0.00	18%	19 Aug →
ancient	4–13	-0.09	11%	19 Aug →
inferno	13–5	-0.01	11%	19 Aug →
ancient	13–10	-0.05	7%	19 Aug →
dust2	13–6	0.01	11%	19 Aug →
inferno	13–10	-0.03	9%	19 Aug →
dust2	8–13	0.03	13%	16 Aug →
nuke	10–13	0.07	16%	16 Aug →
mirage	11–13	-0.00	6%	16 Aug →
inferno	8–13	0.05	7%	16 Aug →
anubis	9–13	0.04	11%	15 Aug →
mirage	13–6	0.05	8%	15 Aug →
mirage	13–10	0.13	12%	15 Aug →
nuke	10–13	0.01	9%	15 Aug →
dust2	10–13	0.02	16%	15 Aug →
dust2	9–13	0.00	16%	15 Aug →
anubis	6–13	0.00	14%	15 Aug →
nuke	13–3	0.08	11%	9 Aug →
mirage	13–4	0.07	7%	9 Aug →
inferno	14–16	-0.05	19%	8 Aug →
nuke	13–3	0.07	14%	8 Aug →
inferno	15–15	-0.02	13%	8 Aug →
italy	12–12	-0.04	6%	7 Aug →
dust2	5–13	-0.04	7%	1 Aug →
dust2	13–10	-0.05	10%	25 Jul →
dust2	13–11	0.00	12%	25 Jul →
dust2	16–13	0.02	15%	25 Jul →
inferno	13–6	-0.01	5%	25 Jul →
anubis	13–7	0.03	4%	25 Jul →
mirage	13–2	0.03	17%	24 Jul →
mirage	13–10	-0.01	8%	23 Jul →
dust2	8–13	0.04	11%	23 Jul →
inferno	3–13	-0.08	7%	23 Jul →
mirage	13–11	-0.07	15%	23 Jul →
inferno	13–11	0.04	8%	23 Jul →
ancient	14–16	0.06	13%	22 Jul →
cache	11–13	-0.08	10%	22 Jul →
mirage	13–7	0.04	14%	22 Jul →
dust2	13–6	-0.06	14%	22 Jul →
mirage	15–15	-0.06	12%	21 Jul →
dust2	13–6	-0.00	14%	21 Jul →
mirage	10–13	-0.02	14%	21 Jul →
inferno	13–5	0.04	9%	20 Jul →
nuke	13–9	0.02	10%	19 Jul →
dust2	13–9	0.10	9%	19 Jul →
mirage	13–9	-0.03	13%	19 Jul →
mirage	10–13	0.01	11%	19 Jul →
nuke	13–9	0.08	11%	19 Jul →
dust2	10–13	-0.09	15%	19 Jul →
mirage	8–13	0.03	15%	19 Jul →
anubis	3–13	0.03	14%	14 Jul →
ancient	13–8	-0.01	12%	14 Jul →
dust2	13–7	0.00	17%	14 Jul →
nuke	13–4	0.12	14%	14 Jul →
dust2	11–13	-0.00	10%	9 Jul →
ancient	1–13	-0.09	18%	9 Jul →
anubis	13–5	0.09	8%	28 Jun →
ancient	9–13	-0.01	3%	28 Jun →
mirage	13–3	0.02	9%	25 Jun →
dust2	13–7	-0.02	13%	25 Jun →
inferno	13–7	0.02	13%	24 Jun →
ancient	13–11	0.01	10%	24 Jun →
dust2	7–13	-0.04	18%	24 Jun →
inferno	13–9	0.04	11%	21 Jun →
dust2	9–13	-0.01	5%	21 Jun →
inferno	11–13	-0.02	13%	16 Jun →
dust2	13–9	-0.02	16%	16 Jun →
mirage	8–13	-0.02	21%	16 Jun →
mirage	6–13	0.02	7%	7 Jun →
mirage	3–13	-0.02	13%	7 Jun →
dust2	13–8	-0.04	17%	7 Jun →
dust2	9–13	-0.00	17%	7 Jun →
dust2	13–6	0.04	13%	7 Jun →
anubis	13–8	0.10	8%	7 Jun →
inferno	7–13	0.04	8%	7 Jun →
dust2	3–13	-0.04	17%	7 Jun →
mirage	10–13	-0.02	11%	7 Jun →
anubis	13–7	0.03	6%	3 Jun →
dust2	3–13	-0.06	17%	3 Jun →
inferno	13–3	-0.01	8%	2 Jun →
dust2	13–9	-0.04	10%	2 Jun →
ancient	16–13	-0.03	11%	2 Jun →
ancient	15–15	0.00	16%	24 May →
inferno	7–13	-0.05	10%	24 May →
mirage	11–13	-0.00	13%	24 May →
inferno	9–4	0.01	18%	24 May →
dust2	3–13	-0.11	5%	24 May →
dust2	13–10	0.00	16%	24 May →
ancient	13–4	-0.01	10%	23 May →
nuke	13–10	-0.01	10%	23 May →
inferno	9–5	-0.05	20%	23 May →
anubis	11–13	-0.01	18%	23 May →
inferno	13–9	0.06	14%	23 May →