pony-san — CS2 Stats

76561198036585969[U:1:76320241]Steam profile ↗✓ No bans

1,543Tracked matches72%Win rate2020Tracked since

CSDB Rating7.5 StrongHybrid Rifler

CSDB Leaderboard#47422 of 58856 tracked

Ladder ranks via Leetify

Rating over time

3,320Peak Faceit ELO on CSDB

1Days observed since 2026-08-30

Faceit ELO

At peak — 3,320
Next: 3,500 ELO at 3,500 — 180 to go
Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
3,000 ELO first seen 2026-08-30
2,500 ELO first seen 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim90

Positioning62

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY64–34–2Last 10064%Win rateWWLWLLWLWW

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

Player DNA

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

Aim9.0

Aggression6.2

Utility6.0

Positioning6.2

Opening Duels2.4

Clutch4.2

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 b1t 97% playstyle similarity

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

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

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

Positioning6.2

Utility6.0

Mechanics7.3

Opening Duels2.4

Win Impact10.0

Composite 7.5/10 (Strong), 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 rating0.04+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time516ms+24ms

first ⅓ avg 492ms → last ⅓ avg 516ms

Headshot accuracy24.4%+5.9%

first ⅓ avg 18.5% → last ⅓ avg 24.4%

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

0.25Best rating — ancient 3–0

13–1Biggest win — anubis

8Longest win streak

W2Current streak

6–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 83% over 18dust2Weakest map · 47% over 19

Map	Grade	Played	Record	Win rate	Avg rating
ancient	S	24	16–8	67%	0.05
dust2	B	19	9–10	47%	0.02
mirage	S	19	13–6	68%	0.02
anubis	S	18	15–3	83%	0.05
inferno	S	8	6–2	75%	0.04
nuke	—	3	1–2	33%	0.03
vertigo	—	2	1–1	50%	-0.03
poseidon	—	2	1–1	50%	-0.04
stronghold	—	2	1–1	50%	-0.01
fachwerk	—	1	1–0	100%	0.07
cache	—	1	0–1	0%	0.17
office	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,204Matches

60%Win rate

1.36Avg K/D

79.0ADR

48%Headshot %

Clutches & streaks

41%1v1 clutch win

28%1v2 clutch win

15Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	207	63%	1.26	16.4
Anubis	157	61%	1.29	16.3
Mirage	137	52%	1.13	15.1
Dust2	115	59%	1.18	15.7
Inferno	56	55%	1.11	15.2
Nuke	38	50%	1.76	15.8
Overpass	37	51%	1.81	15.0
Vertigo	16	75%	1.47	16.4

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.

23.1%Headshot accuracy

40.0%Accuracy (enemy spotted)

41.2%Spray accuracy

82.9%Counter-strafing

8.7°Preaim

524msReaction time

35.1%T opening success

43.7%CT opening success

0.65Enemies flashed / flash

11.7%Flash assists

6.89HE damage / grenade

8.85Flashes / 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 35.1111% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

47% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–8	0.08	24%	9 Aug →
fachwerk	13–9	0.07	24%	24 Jul →
dust2	1–4	-0.02	20%	21 Jun →
mirage	13–2	0.13	23%	5 Jun →
cache	9–13	0.17	25%	4 Jun →
mirage	5–13	-0.04	31%	30 May →
dust2	13–4	0.03	33%	30 May →
anubis	0–13	0.04	41%	30 May →
mirage	13–5	0.03	23%	30 May →
mirage	16–13	0.04	30%	25 May →
inferno	7–9	0.01	20%	24 May →
mirage	6–1	0.02	27%	24 May →
nuke	8–13	-0.03	24%	24 May →
ancient	13–3	0.15	31%	23 May →
dust2	15–15	-0.01	18%	23 May →
mirage	13–7	0.00	16%	22 May →
ancient	16–14	0.03	23%	22 May →
dust2	9–13	-0.00	20%	22 May →
ancient	13–8	0.04	16%	22 May →
anubis	13–6	0.09	16%	20 May →
dust2	8–0	0.00	13%	20 May →
anubis	13–7	-0.02	10%	20 May →
mirage	3–13	-0.07	14%	20 May →
ancient	13–5	0.03	21%	16 May →
anubis	13–1	0.09	29%	16 May →
ancient	1–13	-0.02	33%	16 May →
ancient	3–0	0.25	67%	16 May →
ancient	13–8	0.06	25%	7 May →
ancient	13–3	0.05	35%	2 May →
mirage	13–7	0.12	20%	22 Apr →
vertigo	13–4	-0.00	7%	22 Apr →
dust2	10–13	-0.02	18%	21 Apr →
dust2	13–9	0.03	29%	21 Apr →
anubis	13–11	0.00	23%	19 Apr →
mirage	13–4	-0.00	21%	18 Apr →
mirage	13–6	0.06	16%	18 Apr →
dust2	13–4	0.09	17%	17 Apr →
dust2	10–13	0.06	27%	17 Apr →
nuke	11–13	0.11	28%	10 Apr →
ancient	13–3	0.14	28%	5 Apr →
anubis	16–12	0.00	30%	5 Apr →
poseidon	9–7	0.06	32%	5 Apr →
inferno	16–13	0.05	27%	4 Apr →
inferno	13–4	0.10	27%	4 Apr →
mirage	13–10	0.08	12%	3 Apr →
anubis	13–11	0.08	14%	3 Apr →
dust2	13–10	0.11	29%	3 Apr →
dust2	8–13	-0.02	23%	1 Apr →
mirage	13–8	0.03	20%	1 Apr →
ancient	13–1	0.09	22%	1 Apr →
anubis	13–8	-0.01	29%	1 Apr →
dust2	13–6	-0.01	17%	31 Mar →
mirage	13–3	0.04	19%	30 Mar →
dust2	3–1	0.05	36%	30 Mar →
anubis	13–6	0.14	23%	29 Mar →
anubis	13–10	0.01	12%	29 Mar →
mirage	11–13	-0.06	23%	28 Mar →
anubis	13–6	0.04	23%	28 Mar →
ancient	22–20	0.00	22%	28 Mar →
anubis	13–7	0.02	30%	28 Mar →
mirage	13–6	0.01	12%	27 Mar →
mirage	8–13	0.02	16%	27 Mar →
dust2	13–7	0.17	29%	27 Mar →
ancient	5–13	-0.07	7%	26 Mar →
dust2	10–13	-0.02	23%	21 Mar →
mirage	4–13	-0.03	7%	21 Mar →
ancient	13–9	0.03	22%	18 Mar →
ancient	8–13	-0.02	18%	18 Mar →
anubis	13–7	0.05	23%	16 Mar →
ancient	13–9	0.07	20%	16 Mar →
ancient	13–6	-0.04	28%	15 Mar →
inferno	13–7	0.01	26%	15 Mar →
vertigo	3–9	-0.05	25%	15 Mar →
poseidon	5–9	-0.13	16%	15 Mar →
nuke	9–5	0.01	9%	15 Mar →
inferno	9–4	0.01	19%	15 Mar →
dust2	13–10	0.03	22%	11 Mar →
inferno	13–10	0.03	18%	10 Mar →
anubis	13–10	0.14	16%	7 Mar →
mirage	13–2	0.05	9%	7 Mar →
ancient	15–19	0.03	17%	6 Mar →
dust2	10–13	-0.04	8%	27 Feb →
ancient	10–13	0.06	19%	27 Feb →
dust2	11–13	-0.08	13%	25 Feb →
mirage	9–13	-0.01	16%	25 Feb →
inferno	3–13	0.02	34%	25 Feb →
ancient	11–13	-0.08	22%	24 Feb →
anubis	13–9	0.16	11%	23 Feb →
ancient	13–1	0.07	17%	23 Feb →
ancient	14–16	-0.03	17%	23 Feb →
anubis	11–13	-0.02	16%	22 Feb →
anubis	8–13	-0.05	14%	21 Feb →
inferno	13–6	0.08	13%	21 Feb →
dust2	8–13	-0.01	14%	21 Feb →
ancient	10–13	-0.04	16%	21 Feb →
stronghold	10–13	-0.01	16%	17 Feb →
office	12–12	-0.03	31%	15 Feb →
stronghold	13–1	-0.00	23%	15 Feb →
anubis	13–1	0.14	23%	14 Feb →
ancient	13–3	0.21	21%	14 Feb →