CarterOxi — CS2 Stats

76561199014440252[U:1:1054174524]✓ No bans

352Tracked matches36%Win rate2024Tracked since

CSDB Rating4.5 DevelopingHybrid Rifler

Premier CS Rating10,540Blue band · top ~52% of ranked players (population est.)

CSDB Leaderboard#20700 of 28667 tracked

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning47

Utility41

0–100 skill scores via Leetify.

Recent form

COLD41–57–2Last 10041%Win rateWLLLLLLWLL

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

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

Aim7.9

Aggression5.6

Utility4.1

Positioning4.7

Opening Duels1.0

Clutch0.0

Strong CT-side openerLimited utility dependence

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 86% playstyle similarity

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

Where you differ: lower aim 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 33 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 42% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim7.9

Positioning4.7

Utility4.1

Mechanics4.6

Opening Duels1.5

Win Impact0.2

Composite 4.5/10 (Developing), 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-0.00−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time569ms−7ms

first ⅓ avg 576ms → last ⅓ avg 569ms

Headshot accuracy25.6%+4.5%

first ⅓ avg 21.2% → last ⅓ avg 25.6%

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

0.28Best rating — dust2 13–6

13–2Biggest win — nuke

6Longest win streak

7–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 55% over 11ancientWeakest map · 8% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	40	21–19	53%	0.01
ancient	D	12	1–11	8%	-0.04
nuke	A	11	6–5	55%	-0.03
inferno	D	11	2–9	18%	-0.02
cache	B	11	5–6	45%	0.01
mirage	C	8	3–5	38%	0.01
anubis	D	6	2–4	33%	-0.01
train	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches

0%Win rate

0.61Avg K/D

62.0ADR

34%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Overpass	3	0%	0.54	8.7
Dust2	1	0%	0.83	15.0

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.

24.6%Headshot accuracy

35.4%Accuracy (enemy spotted)

36.2%Spray accuracy

70.6%Counter-strafing

7.5°Preaim

564msReaction time

26.2%T opening success

42.0%CT opening success

0.54Enemies flashed / flash

2.1%Flash assists

10.02HE damage / grenade

4.71Flashes / 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 26.1612% — 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.

8% win rate across 12 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	13–9	0.06	38%	19 Aug →
nuke	7–13	-0.04	23%	16 Aug →
dust2	11–13	0.00	41%	16 Aug →
inferno	8–13	-0.03	27%	16 Aug →
ancient	3–13	-0.11	22%	14 Aug →
cache	9–13	-0.01	16%	13 Aug →
inferno	7–13	-0.08	23%	13 Aug →
dust2	13–11	-0.02	25%	13 Aug →
mirage	5–13	-0.06	35%	13 Aug →
inferno	2–13	-0.03	20%	12 Aug →
cache	15–15	-0.02	20%	7 Aug →
dust2	13–8	0.11	15%	6 Aug →
dust2	13–9	-0.01	16%	6 Aug →
dust2	6–13	-0.04	38%	3 Aug →
dust2	7–13	-0.04	29%	3 Aug →
nuke	13–10	-0.02	13%	1 Aug →
nuke	13–2	-0.00	36%	1 Aug →
dust2	7–13	0.17	29%	31 Jul →
ancient	7–13	-0.03	26%	31 Jul →
cache	13–16	-0.06	30%	31 Jul →
ancient	8–13	-0.01	19%	31 Jul →
cache	8–13	0.04	30%	30 Jul →
dust2	5–13	-0.05	11%	30 Jul →
dust2	13–9	0.01	30%	30 Jul →
nuke	13–6	0.02	32%	30 Jul →
nuke	10–13	-0.01	21%	29 Jul →
dust2	13–3	0.09	25%	29 Jul →
inferno	15–15	-0.00	16%	29 Jul →
dust2	13–3	0.08	23%	29 Jul →
ancient	8–13	-0.06	16%	28 Jul →
dust2	13–2	-0.02	48%	28 Jul →
dust2	10–13	-0.01	33%	28 Jul →
mirage	4–13	0.08	22%	28 Jul →
ancient	14–16	-0.07	9%	27 Jul →
dust2	13–9	0.03	24%	27 Jul →
ancient	11–13	-0.07	26%	27 Jul →
cache	1–13	-0.02	33%	25 Jul →
anubis	9–13	-0.02	23%	25 Jul →
dust2	8–13	0.01	20%	25 Jul →
dust2	13–4	0.00	24%	24 Jul →
ancient	13–5	-0.04	30%	24 Jul →
anubis	7–13	-0.01	13%	24 Jul →
inferno	13–6	-0.05	26%	24 Jul →
cache	13–7	0.03	19%	17 Jul →
inferno	2–13	-0.04	23%	17 Jul →
nuke	1–13	-0.10	13%	16 Jul →
dust2	6–13	-0.03	34%	16 Jul →
ancient	8–13	0.05	14%	16 Jul →
cache	13–5	0.04	30%	16 Jul →
nuke	13–11	-0.01	19%	16 Jul →
ancient	8–13	-0.06	11%	16 Jul →
cache	13–7	0.06	24%	15 Jul →
dust2	9–13	-0.00	26%	15 Jul →
nuke	5–13	-0.06	21%	15 Jul →
ancient	5–13	-0.05	17%	15 Jul →
mirage	7–13	-0.01	11%	15 Jul →
mirage	13–9	-0.02	31%	14 Jul →
cache	3–13	-0.03	14%	14 Jul →
nuke	13–4	-0.03	18%	14 Jul →
dust2	13–6	0.12	37%	14 Jul →
dust2	5–13	-0.01	22%	14 Jul →
nuke	13–11	-0.01	17%	13 Jul →
mirage	11–13	0.00	20%	13 Jul →
anubis	13–2	0.06	19%	13 Jul →
dust2	13–6	-0.00	15%	13 Jul →
inferno	13–8	0.08	13%	13 Jul →
dust2	13–6	-0.00	13%	13 Jul →
mirage	13–11	0.01	13%	12 Jul →
dust2	13–8	0.06	14%	12 Jul →
dust2	7–13	-0.03	14%	12 Jul →
mirage	6–7	0.08	25%	12 Jul →
dust2	1–13	-0.08	9%	11 Jul →
inferno	5–13	-0.04	26%	11 Jul →
dust2	10–13	0.04	17%	11 Jul →
dust2	13–8	0.02	27%	11 Jul →
dust2	13–4	0.09	24%	11 Jul →
mirage	13–9	-0.02	23%	11 Jul →
inferno	11–13	0.08	27%	8 Jul →
dust2	13–6	0.28	32%	7 Jul →
dust2	13–11	-0.03	32%	5 Jul →
anubis	16–14	0.01	18%	5 Jul →
inferno	11–13	-0.01	23%	29 Jun →
dust2	13–9	0.02	15%	21 Jun →
dust2	13–10	-0.02	13%	21 Jun →
dust2	11–13	0.00	12%	19 Jun →
cache	13–4	0.06	30%	9 May →
dust2	1–13	-0.10	25%	2 May →
cache	13–9	-0.01	20%	1 May →
inferno	9–13	-0.09	25%	13 Mar →
ancient	6–13	0.00	29%	13 Mar →
dust2	7–13	-0.02	23%	20 Feb →
dust2	7–13	-0.00	28%	20 Feb →
dust2	7–13	-0.11	19%	19 Feb →
nuke	7–13	-0.08	20%	19 Feb →
anubis	11–13	-0.08	21%	17 Feb →
anubis	14–16	-0.01	17%	17 Feb →
dust2	6–13	-0.06	24%	17 Feb →
ancient	5–13	-0.07	0%	25 Jan →
dust2	16–13	0.01	22%	24 Jan →
train	13–11	-0.03	33%	11 Jan →