daxty — CS2 Stats

76561198118426767[U:1:158161039]Steam profile ↗✓ No bans

6,888Tracked matches50%Win rate2020Tracked since

CSDB Rating6.7 SolidHybrid Rifler

Premier CS Rating25,606Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)

CSDB Leaderboard#3136 of 30401 tracked

FaceitLevel 10 · 2,775 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning53

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY62–37–1Last 10062%Win rateWWLWLWWLLW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

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

Aim9.0

Aggression4.7

Utility5.2

Positioning5.3

Opening Duels1.2

Clutch3.6

Sharp aimer

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 90 — the mechanical foundation is a clear strength.

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.

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

Aim9.0

Positioning5.3

Utility5.2

Mechanics7.8

Opening Duels1.4

Win Impact5.0

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time537ms−15ms

first ⅓ avg 552ms → last ⅓ avg 537ms

Headshot accuracy27.4%−1.4%

first ⅓ avg 28.7% → last ⅓ avg 27.4%

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

0.14Best rating — inferno 9–1

13–0Biggest win — vertigo

11Longest win streak

W2Current streak

11–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 75% over 12ancientWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	42	24–18	57%	-0.01
dust2	S	12	9–3	75%	0.01
nuke	S	10	7–3	70%	-0.02
ancient	C	9	4–5	44%	-0.00
cache	B	8	4–4	50%	0.01
inferno	B	6	3–3	50%	0.03
vertigo	—	3	2–1	67%	-0.01
anubis	—	3	2–1	67%	-0.01
train	—	3	3–0	100%	0.07
fachwerk	—	2	2–0	100%	-0.01
shelter	—	1	1–0	100%	0.01
boulder	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7,179Matches

52%Win rate

1.12Avg K/D

82.0ADR

57%Headshot %

Clutches & streaks

38%1v1 clutch win

20%1v2 clutch win

20Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1747	53%	1.13	16.8
Nuke	606	56%	1.13	16.6
Dust2	530	48%	1.04	15.4
Ancient	489	51%	1.08	16.4
Vertigo	156	57%	1.11	16.4
Anubis	141	47%	1.02	15.0
Train	132	51%	1.12	16.9
Inferno	94	39%	0.98	15.4

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.

25.6%Headshot accuracy

36.9%Accuracy (enemy spotted)

38.2%Spray accuracy

85.2%Counter-strafing

8.5°Preaim

511msReaction time

28.4%T opening success

41.2%CT opening success

0.69Enemies flashed / flash

8.7%Flash assists

7.08HE damage / grenade

7.54Flashes / 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 28.3804% — 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.

44% win rate across 9 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	13–11	0.05	31%	27 Aug →
nuke	13–5	-0.06	16%	26 Aug →
mirage	8–13	-0.00	22%	26 Aug →
mirage	13–8	0.07	18%	26 Aug →
mirage	7–13	-0.06	22%	26 Aug →
mirage	13–11	0.02	16%	26 Aug →
mirage	13–8	-0.03	36%	26 Aug →
dust2	11–13	-0.01	23%	26 Aug →
inferno	0–4	-0.06	100%	26 Aug →
ancient	13–11	0.04	41%	23 Aug →
ancient	13–11	-0.01	18%	23 Aug →
dust2	13–2	-0.02	29%	22 Aug →
vertigo	8–13	0.05	40%	22 Aug →
ancient	11–13	-0.05	24%	21 Aug →
mirage	11–13	-0.05	25%	19 Aug →
mirage	16–13	-0.01	29%	18 Aug →
ancient	13–7	0.02	31%	13 Aug →
inferno	4–13	-0.04	25%	13 Aug →
nuke	13–8	0.09	28%	12 Aug →
mirage	12–16	-0.03	28%	12 Aug →
mirage	13–11	0.03	31%	11 Aug →
mirage	16–12	0.04	27%	11 Aug →
mirage	8–13	-0.00	28%	6 Aug →
mirage	7–13	-0.05	13%	4 Aug →
anubis	13–4	-0.01	38%	29 Jul →
dust2	11–13	0.03	27%	29 Jul →
dust2	7–13	-0.04	20%	29 Jul →
mirage	10–13	-0.02	7%	28 Jul →
nuke	7–13	0.00	16%	28 Jul →
nuke	2–9	-0.07	7%	25 Jul →
nuke	1–9	-0.08	40%	25 Jul →
mirage	13–11	-0.01	22%	24 Jul →
mirage	13–11	-0.04	27%	22 Jul →
anubis	9–13	-0.04	22%	22 Jul →
mirage	13–6	0.04	31%	22 Jul →
cache	11–13	0.01	22%	21 Jul →
mirage	19–16	-0.02	18%	21 Jul →
vertigo	9–7	-0.12	17%	19 Jul →
nuke	9–6	-0.05	18%	19 Jul →
inferno	9–1	0.14	32%	19 Jul →
mirage	7–13	-0.06	16%	19 Jul →
mirage	13–10	0.00	30%	19 Jul →
mirage	10–13	-0.09	32%	19 Jul →
dust2	13–10	-0.03	19%	19 Jul →
cache	10–13	-0.02	29%	18 Jul →
anubis	13–3	0.01	13%	17 Jul →
mirage	11–13	0.01	16%	17 Jul →
mirage	4–13	-0.04	17%	16 Jul →
fachwerk	13–8	0.00	23%	16 Jul →
inferno	13–11	-0.05	18%	16 Jul →
train	13–1	0.03	9%	16 Jul →
mirage	5–13	-0.00	39%	16 Jul →
cache	13–9	0.06	25%	16 Jul →
nuke	13–3	-0.05	22%	15 Jul →
train	13–2	0.06	22%	15 Jul →
shelter	13–2	0.01	31%	15 Jul →
fachwerk	10–0	-0.02	50%	15 Jul →
inferno	13–4	0.07	18%	15 Jul →
mirage	13–8	-0.01	18%	15 Jul →
mirage	13–1	-0.05	31%	15 Jul →
ancient	2–13	-0.02	25%	15 Jul →
cache	13–4	-0.06	26%	15 Jul →
boulder	13–3	0.01	20%	15 Jul →
vertigo	13–0	0.03	29%	15 Jul →
mirage	11–13	-0.04	31%	15 Jul →
cache	13–7	-0.00	19%	15 Jul →
mirage	13–1	0.03	30%	15 Jul →
mirage	13–8	-0.03	29%	15 Jul →
ancient	13–16	-0.03	15%	14 Jul →
mirage	4–13	-0.07	29%	14 Jul →
inferno	6–9	0.11	38%	14 Jul →
cache	15–15	-0.00	26%	14 Jul →
nuke	12–1	-0.02	15%	14 Jul →
mirage	13–0	-0.01	28%	14 Jul →
dust2	13–9	-0.01	34%	14 Jul →
mirage	13–3	-0.01	24%	14 Jul →
ancient	6–13	0.01	17%	14 Jul →
train	13–4	0.12	35%	14 Jul →
ancient	11–2	0.07	36%	13 Jul →
mirage	5–13	-0.02	57%	13 Jul →
mirage	11–13	-0.00	27%	13 Jul →
mirage	10–13	-0.07	28%	13 Jul →
nuke	13–6	-0.04	18%	13 Jul →
mirage	0–13	-0.05	0%	13 Jul →
ancient	10–13	-0.05	35%	13 Jul →
dust2	13–5	-0.01	33%	13 Jul →
dust2	13–9	-0.01	21%	12 Jul →
mirage	13–9	0.03	16%	9 Jul →
cache	4–13	-0.02	25%	9 Jul →
mirage	13–4	0.00	33%	9 Jul →
mirage	13–6	0.10	31%	9 Jul →
cache	13–8	0.11	19%	9 Jul →
mirage	13–3	0.13	43%	9 Jul →
mirage	13–8	0.10	26%	9 Jul →
mirage	13–11	0.01	22%	6 Jul →
mirage	13–10	-0.02	21%	6 Jul →
dust2	13–5	0.10	35%	3 Jul →
nuke	16–14	0.05	45%	2 Jul →
dust2	13–2	0.02	48%	2 Jul →
dust2	13–5	0.10	36%	1 Jul →