AxN — CS2 Stats

JP76561198886258723[U:1:925992995]Steam profile ↗✓ No bans

3,725Tracked matches47%Win rate2021Tracked since

7,086Hours in CS60Hrs last 2 wks

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating22,690Top 50% of 44,590 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#13829 of 60112 tracked

FaceitLevel 10 · 2,003 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	42.3%	51.7%
Shot accuracy	11.2%	13.8%
Kill/death ratio	1.15	1.09
Match win rate	51.7%	48.7%

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Performance scores

Aim69

Positioning66

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLWWWWLLLWL

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.

Aim6.9

Aggression9.1

Utility7.0

Positioning6.6

Opening Duels4.1

Clutch4.6

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 device 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Reaction time. 595ms 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

Aim6.9

Positioning6.6

Utility7.0

Mechanics7.4

Opening Duels4.1

Win Impact3.9

Composite 6.5/10 (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 rating-0.02−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time608ms−17ms

first ⅓ avg 625ms → last ⅓ avg 608ms

Headshot accuracy15.6%−1.3%

first ⅓ avg 16.9% → last ⅓ avg 15.6%

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

0.11Best rating — inferno 13–4

13–0Biggest win — mirage

7Longest win streak

11–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 67% over 6ancientWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	37	19–18	51%	0.00
inferno	A	19	11–8	58%	-0.01
ancient	C	16	6–10	38%	-0.00
mirage	A	11	6–5	55%	-0.02
cache	B	6	3–3	50%	-0.00
nuke	S	6	4–2	67%	0.01
anubis	—	3	2–1	67%	0.01
train	—	2	1–1	50%	-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

139,131Lifetime kills

1.15K/D · Top 50% of Level 10 players

6,855Matches

51.7%Match win rate · Top 25% of Level 10 players

42.3%Headshot %

11.2%Shot accuracy

16,954MVPs

2,396Hours (in match)

6,553Bombs planted

1,165Bombs defused

Most-used weapons

AK-4738,046

M4A4 / M4A1-S30,529

AWP19,182

Desert Eagle6,082

P2000 / USP-S5,916

MP95,046

MAC-104,128

Glock-183,397

Galil AR3,322

FAMAS3,214

Lifetime map wins

20,016dust2

10,496inferno

4,193vertigo

3,900nuke

753train

136lake

79cbble

23safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,175Matches

53%Win rate

1.06Avg K/D

81.1ADR

46%Headshot %

Clutches & streaks

43%1v1 clutch win

25%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	272	54%	1.07	16.4
Dust2	170	54%	1.08	15.9
Vertigo	137	55%	1.04	16.6
Anubis	125	48%	1.02	15.5
Inferno	107	50%	1.05	15.4
Mirage	98	46%	1.03	16.1
Nuke	81	59%	1.09	15.8
Overpass	20	35%	1.00	16.8

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.

15.4%Headshot accuracy

34.8%Accuracy (enemy spotted)

37.9%Spray accuracy

83.4%Counter-strafing

9.9°Preaim

595msReaction time

45.0%T opening success

47.6%CT opening success

0.60Enemies flashed / flash

7.4%Flash assists

11.41HE damage / grenade

10.20Flashes / match

Recommended for you

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.

38% win rate across 16 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
ancient	8–13	0.00	21%	29 Aug →
dust2	13–8	0.01	20%	29 Aug →
dust2	13–6	0.04	19%	28 Aug →
inferno	13–10	-0.01	12%	28 Aug →
dust2	13–10	0.01	17%	28 Aug →
ancient	6–13	-0.00	18%	28 Aug →
ancient	7–13	-0.07	14%	24 Aug →
dust2	14–16	-0.04	19%	22 Aug →
dust2	13–11	-0.00	23%	21 Aug →
inferno	7–13	0.01	6%	20 Aug →
inferno	4–13	0.00	23%	16 Aug →
dust2	3–3	-0.04	11%	16 Aug →
dust2	3–13	-0.01	0%	15 Aug →
inferno	13–11	0.03	11%	15 Aug →
dust2	13–11	0.07	21%	15 Aug →
cache	0–8	-0.09	19%	14 Aug →
dust2	13–3	0.01	9%	13 Aug →
inferno	8–13	-0.01	17%	13 Aug →
dust2	13–7	-0.01	9%	12 Aug →
inferno	7–13	-0.06	20%	12 Aug →
dust2	11–13	0.02	15%	11 Aug →
dust2	11–13	-0.07	14%	9 Aug →
dust2	10–13	-0.06	12%	9 Aug →
dust2	8–13	-0.04	18%	9 Aug →
inferno	13–11	-0.04	14%	9 Aug →
inferno	3–0	-0.01	0%	8 Aug →
ancient	13–6	0.02	12%	8 Aug →
mirage	13–6	-0.03	17%	8 Aug →
inferno	3–5	-0.10	13%	8 Aug →
dust2	0–2	0.02	40%	5 Aug →
dust2	12–16	-0.03	26%	3 Aug →
dust2	10–13	0.00	18%	31 Jul →
dust2	13–16	-0.06	9%	30 Jul →
nuke	13–9	0.00	20%	29 Jul →
ancient	13–5	0.06	13%	29 Jul →
mirage	6–13	-0.09	14%	28 Jul →
mirage	5–13	-0.03	23%	28 Jul →
inferno	13–4	0.06	13%	25 Jul →
dust2	13–11	0.00	14%	25 Jul →
dust2	10–13	-0.01	26%	25 Jul →
inferno	13–7	-0.01	14%	25 Jul →
ancient	5–13	-0.02	10%	25 Jul →
anubis	8–13	-0.02	11%	25 Jul →
dust2	13–6	0.00	30%	25 Jul →
dust2	15–15	-0.06	25%	24 Jul →
mirage	1–7	-0.06	20%	23 Jul →
cache	11–13	-0.03	13%	23 Jul →
dust2	13–9	0.05	11%	23 Jul →
anubis	13–11	-0.04	21%	21 Jul →
cache	13–4	0.06	22%	21 Jul →
inferno	5–13	-0.07	19%	21 Jul →
mirage	13–3	-0.04	24%	21 Jul →
cache	13–10	0.03	18%	20 Jul →
mirage	13–7	0.07	17%	20 Jul →
cache	16–13	0.02	13%	18 Jul →
inferno	13–8	0.02	17%	18 Jul →
mirage	13–0	0.00	0%	18 Jul →
dust2	13–11	0.02	9%	18 Jul →
mirage	8–13	-0.00	20%	18 Jul →
dust2	13–5	-0.07	15%	18 Jul →
inferno	9–13	-0.02	14%	17 Jul →
ancient	13–3	0.08	17%	17 Jul →
dust2	13–11	-0.00	15%	17 Jul →
inferno	13–10	-0.03	13%	17 Jul →
ancient	9–13	-0.01	13%	12 Jul →
ancient	4–13	-0.02	23%	12 Jul →
cache	15–15	0.00	19%	11 Jul →
nuke	15–15	-0.00	16%	10 Jul →
ancient	13–7	0.04	8%	10 Jul →
inferno	13–4	0.02	19%	10 Jul →
nuke	16–13	0.04	17%	10 Jul →
dust2	11–13	0.05	8%	10 Jul →
dust2	6–13	-0.04	12%	9 Jul →
dust2	13–4	0.08	22%	9 Jul →
mirage	13–11	-0.04	10%	8 Jul →
anubis	13–6	0.08	23%	5 Jul →
mirage	13–6	0.07	25%	1 Jul →
dust2	4–13	-0.01	14%	1 Jul →
nuke	13–6	-0.04	25%	1 Jul →
ancient	7–13	-0.02	19%	30 Jun →
mirage	10–13	-0.04	15%	4 Jan →
nuke	13–10	0.07	32%	3 Jan →
ancient	11–13	0.05	10%	31 Dec →
inferno	15–15	-0.03	8%	31 Dec →
dust2	13–6	0.00	13%	31 Dec →
train	10–13	-0.06	15%	30 Dec →
ancient	13–6	-0.04	17%	30 Dec →
dust2	13–11	0.02	19%	29 Dec →
nuke	8–13	-0.01	27%	29 Dec →
dust2	13–2	0.07	26%	29 Dec →
dust2	11–13	-0.01	16%	28 Dec →
ancient	1–13	-0.03	11%	28 Dec →
ancient	13–10	-0.08	19%	28 Dec →
ancient	7–13	-0.01	20%	25 Dec →
train	4–0	-0.10	0%	25 Dec →
inferno	13–4	0.11	24%	24 Dec →
dust2	13–8	0.06	19%	23 Dec →
dust2	10–13	0.04	9%	22 Dec →
dust2	15–15	-0.01	23%	21 Dec →
inferno	13–5	0.03	16%	21 Dec →