ODM ENJOYERRRR — CS2 Stats

76561198883518702[U:1:923252974]

1,011Tracked matches53%Win rate2020Tracked since

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating11,901Blue band · top ~44.8% of ranked players (population est.)

CSDB Leaderboard#20248 of 28904 tracked

FaceitLevel 5 · 770 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning43

Utility31

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWLWLWLWWLW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim8.1

Aggression5.5

Utility3.1

Positioning4.3

Opening Duels1.0

Clutch4.6

Excellent counter-strafing

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 84% playstyle similarity

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

Where you differ: lower positioning 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 →

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 38 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.

Reaction time. 644ms 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

Positioning4.3

Utility3.1

Mechanics8.7

Opening Duels1.0

Win Impact6.1

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time651ms−14ms

first ⅓ avg 665ms → last ⅓ avg 651ms

Headshot accuracy20.0%−3.4%

first ⅓ avg 23.4% → last ⅓ avg 20.0%

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 — nuke 13–6

13–0Biggest win — mirage

5Longest win streak

7–9In matches decided by ≤2 rounds

14Overtime games

Map breakdown

dust2Best map · 69% over 13nukeWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	28	14–14	50%	-0.01
inferno	C	20	8–12	40%	-0.01
anubis	A	15	9–6	60%	-0.01
ancient	C	15	6–9	40%	-0.00
dust2	S	13	9–4	69%	-0.02
nuke	D	6	2–4	33%	0.03
cache	—	3	2–1	67%	-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

130Matches

52%Win rate

0.83Avg K/D

74.4ADR

47%Headshot %

Clutches & streaks

43%1v1 clutch win

14%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	33	58%	0.96	14.7
Dust2	20	50%	0.81	13.1
Inferno	10	40%	0.69	11.4
Ancient	10	60%	0.71	12.8
Anubis	7	43%	0.91	16.4
Nuke	5	60%	0.72	11.8
Train	3	33%	1.10	17.0
Overpass	2	100%	1.06	15.5

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.

20.9%Headshot accuracy

37.3%Accuracy (enemy spotted)

36.7%Spray accuracy

89.3%Counter-strafing

8.3°Preaim

644msReaction time

33.9%T opening success

33.8%CT opening success

0.57Enemies flashed / flash

3.4%Flash assists

4.51HE damage / grenade

6.58Flashes / 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 33.9416% — 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.

33% win rate across 6 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
mirage	13–6	0.04	24%	29 Aug →
anubis	3–13	-0.06	19%	29 Aug →
dust2	13–8	-0.05	22%	28 Aug →
mirage	10–13	-0.01	34%	27 Aug →
dust2	16–12	-0.03	20%	27 Aug →
ancient	7–13	-0.08	7%	27 Aug →
anubis	13–10	-0.04	18%	27 Aug →
mirage	13–9	0.02	23%	27 Aug →
ancient	9–13	0.04	31%	27 Aug →
mirage	13–4	0.05	23%	27 Aug →
mirage	13–5	0.02	16%	26 Aug →
anubis	13–10	0.05	20%	26 Aug →
mirage	16–13	0.00	28%	26 Aug →
anubis	5–13	-0.04	20%	26 Aug →
dust2	17–19	-0.03	27%	24 Aug →
anubis	22–20	0.01	20%	23 Aug →
dust2	13–9	0.00	14%	23 Aug →
mirage	13–6	0.01	8%	23 Aug →
mirage	11–13	-0.01	29%	22 Aug →
ancient	11–13	-0.04	16%	21 Aug →
mirage	13–6	-0.02	20%	21 Aug →
inferno	13–6	0.05	23%	21 Aug →
mirage	5–13	-0.10	23%	21 Aug →
anubis	13–5	-0.02	17%	21 Aug →
nuke	10–13	0.04	18%	21 Aug →
mirage	13–9	-0.06	15%	20 Aug →
mirage	6–13	-0.04	20%	19 Aug →
inferno	1–13	0.01	25%	19 Aug →
mirage	6–13	-0.09	17%	19 Aug →
anubis	2–13	-0.07	24%	19 Aug →
ancient	11–13	-0.04	9%	19 Aug →
ancient	16–13	-0.01	19%	18 Aug →
cache	13–5	-0.07	12%	18 Aug →
ancient	13–10	0.01	10%	18 Aug →
mirage	16–13	-0.04	29%	18 Aug →
anubis	13–8	0.00	18%	17 Aug →
dust2	8–13	-0.04	10%	17 Aug →
nuke	10–13	0.07	18%	17 Aug →
mirage	5–13	-0.03	13%	17 Aug →
dust2	13–11	0.05	25%	16 Aug →
inferno	10–13	0.01	15%	16 Aug →
inferno	4–13	-0.04	23%	15 Aug →
mirage	10–13	-0.01	21%	15 Aug →
inferno	4–13	-0.05	27%	15 Aug →
inferno	12–16	-0.03	20%	15 Aug →
nuke	2–13	-0.06	35%	14 Aug →
inferno	15–15	-0.03	22%	12 Aug →
mirage	6–13	-0.04	25%	12 Aug →
inferno	13–8	-0.01	18%	12 Aug →
cache	13–6	0.04	14%	11 Aug →
mirage	5–8	-0.01	19%	11 Aug →
mirage	15–15	0.04	24%	11 Aug →
dust2	8–13	-0.08	19%	11 Aug →
ancient	5–13	-0.04	39%	11 Aug →
anubis	9–13	0.05	23%	11 Aug →
mirage	9–13	-0.00	25%	10 Aug →
inferno	8–13	-0.07	23%	10 Aug →
mirage	13–6	-0.05	27%	10 Aug →
inferno	11–13	-0.02	41%	10 Aug →
inferno	13–8	0.02	22%	10 Aug →
mirage	7–13	-0.06	22%	9 Aug →
anubis	6–13	-0.09	15%	9 Aug →
anubis	13–7	0.05	18%	9 Aug →
inferno	13–4	0.10	25%	9 Aug →
mirage	13–4	-0.05	13%	9 Aug →
anubis	9–13	-0.03	11%	9 Aug →
dust2	2–13	-0.04	22%	9 Aug →
mirage	13–6	0.01	19%	8 Aug →
nuke	8–13	-0.00	20%	8 Aug →
nuke	13–6	0.12	25%	8 Aug →
ancient	13–5	0.09	27%	8 Aug →
inferno	8–13	-0.01	26%	8 Aug →
anubis	13–11	0.03	22%	8 Aug →
inferno	16–14	-0.03	28%	7 Aug →
ancient	10–13	0.04	21%	7 Aug →
inferno	13–8	0.03	27%	7 Aug →
inferno	13–7	0.00	19%	7 Aug →
ancient	13–9	-0.05	38%	7 Aug →
ancient	14–16	-0.03	17%	7 Aug →
anubis	13–11	-0.01	29%	7 Aug →
dust2	13–10	-0.03	21%	7 Aug →
dust2	16–13	-0.06	34%	7 Aug →
dust2	13–5	-0.01	18%	7 Aug →
ancient	16–14	0.02	22%	6 Aug →
ancient	10–13	0.04	22%	6 Aug →
nuke	13–10	0.02	23%	6 Aug →
inferno	10–13	0.04	35%	6 Aug →
cache	15–15	0.02	13%	6 Aug →
mirage	8–13	-0.02	14%	6 Aug →
inferno	11–13	-0.04	29%	6 Aug →
dust2	13–5	-0.01	24%	5 Aug →
dust2	13–5	0.04	20%	5 Aug →
inferno	11–13	-0.04	20%	5 Aug →
anubis	13–2	0.01	26%	5 Aug →
ancient	6–13	0.01	29%	5 Aug →
mirage	13–4	0.00	19%	5 Aug →
mirage	11–13	0.03	21%	5 Aug →
ancient	13–11	0.04	17%	4 Aug →
mirage	13–0	0.09	18%	4 Aug →
inferno	13–8	-0.05	27%	4 Aug →