Pony_Chi

Pony_Chi — CS2 Stats

RU76561199480056818[U:1:1519791090]Steam profile ↗✓ No bans

684Tracked matches19%Win rate2023Tracked since
CSDB Rating4.8 DevelopingSupport
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (53 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 684 tracked matches. Play, then come back: the next observation lands here.

Rating over time

38Days played since 2026-01-23

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim63
Positioning45
Utility50

0–100 skill scores via Leetify.

Recent form

COLD35–55–10Last 10035%Win rateLTLLLLLLLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −5.5pp headshot accuracy · −91ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 641ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 623ms

Last 20

  • 3–15–2 · 15% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 28%
  • Avg reaction 669ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim6.3
Utility5.0
Positioning4.5
Opening Duels3.5
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 46% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 672ms 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

Aim6.3
Positioning4.5
Utility5.0
Mechanics7.0
Opening Duels2.0
Win Impact0.0

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time668ms−49ms
first ⅓ avg 717ms → last ⅓ avg 668ms
Headshot accuracy29.7%+4.7%
first ⅓ avg 25.0% → last ⅓ avg 29.7%

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.

Personal bests

0.19Best match rating · 9–1 · stronghold, 5 Apr →
50%Best headshot accuracy · 1–13 · inferno, 11 Aug →
430msFastest reaction time · 9–13 · mirage, 16 May →
13–0Biggest win · nuke, 29 Jan →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–7In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 75% over 8boulderWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
mirageD153–1220%-0.02
nukeD113–827%-0.02
vertigoD113–827%0.01
trainD93–633%0.01
infernoD93–633%0.00
dust2C94–544%0.00
ancientS86–275%0.04
anubisD62–433%-0.01
overpassS64–267%0.03
boulderD60–60%0.01
cache—21–150%0.05
fachwerk—21–150%-0.02
alpine—21–150%0.09
office—10–10%-0.00
italy—10–10%-0.05
shelter—10–10%0.01
stronghold—11–0100%0.19

Across the last 100 tracked matches.

Faceit stats

Combat

3Matches
33%Win rate
1.11Avg K/D
71.9ADR
47%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno250%1.0814.0
Dust210%1.1919.0

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.

29.1%Headshot accuracy
33.1%Accuracy (enemy spotted)
33.9%Spray accuracy
81.5%Counter-strafing
13.1°Preaim
672msReaction time
28.8%T opening success
46.1%CT opening success
0.63Enemies flashed / flash
7.2%Flash assists
8.74HE damage / grenade
6.96Flashes / 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.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.0929° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Mirage

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0427%15 Aug →
overpass12–120.0226%15 Aug →
nuke8–13-0.0816%15 Aug →
office3–13-0.0018%15 Aug →
train2–13-0.0529%14 Aug →
train5–130.0222%14 Aug →
italy10–13-0.0535%14 Aug →
inferno4–13-0.0421%14 Aug →
boulder7–13-0.0241%14 Aug →
train13–90.0420%14 Aug →
train13–40.0025%12 Aug →
vertigo8–130.0526%12 Aug →
vertigo6–13-0.0236%11 Aug →
dust213–11-0.0327%11 Aug →
mirage5–13-0.0628%11 Aug →
ancient4–13-0.0636%11 Aug →
inferno1–13-0.0150%11 Aug →
mirage7–130.0039%11 Aug →
vertigo7–13-0.0216%11 Aug →
train12–12-0.0226%10 Aug →
ancient13–11-0.0032%10 Aug →
boulder11–130.1825%8 Aug →
vertigo12–12-0.0131%8 Aug →
boulder12–12-0.0330%4 Aug →
inferno7–13-0.0150%3 Aug →
overpass11–13-0.0628%3 Aug →
boulder9–13-0.0922%3 Aug →
mirage7–130.0320%3 Aug →
nuke13–110.0437%3 Aug →
mirage1–13-0.0350%3 Aug →
train12–12-0.0133%3 Aug →
vertigo13–90.0036%2 Aug →
vertigo10–130.0321%2 Aug →
cache8–130.0128%1 Aug →
boulder7–13-0.0731%30 Jul →
mirage7–13-0.0125%29 Jul →
vertigo11–13-0.0230%29 Jul →
shelter3–130.0135%29 Jul →
vertigo7–130.0228%28 Jul →
vertigo8–13-0.0225%28 Jul →
inferno2–13-0.070%28 Jul →
fachwerk13–40.0342%28 Jul →
nuke8–13-0.0739%28 Jul →
anubis11–130.0227%26 Jul →
anubis1–4-0.0429%26 Jul →
fachwerk4–13-0.0732%26 Jul →
train9–130.0534%26 Jul →
nuke4–13-0.0827%26 Jul →
anubis3–13-0.0127%26 Jul →
vertigo13–50.0634%26 Jul →
boulder7–130.1025%26 Jul →
ancient5–130.0816%21 Jun →
train6–13-0.0317%23 May →
inferno13–90.0713%18 May →
anubis13–90.0523%18 May →
dust212–120.0320%18 May →
cache13–60.0823%17 May →
overpass13–70.0520%17 May →
inferno9–130.0327%17 May →
mirage9–13-0.0221%16 May →
nuke12–120.0618%16 May →
alpine12–30.1628%27 Apr →
train13–90.0825%20 Apr →
mirage6–13-0.0322%19 Apr →
ancient13–50.1325%19 Apr →
ancient13–20.1422%19 Apr →
nuke3–13-0.0815%18 Apr →
inferno13–110.0529%6 Apr →
nuke13–110.0118%6 Apr →
vertigo13–60.0224%5 Apr →
stronghold9–10.1922%5 Apr →
nuke7–13-0.0521%5 Apr →
overpass13–40.0524%5 Apr →
ancient13–80.047%4 Apr →
mirage12–120.0630%23 Feb →
overpass13–60.0629%23 Feb →
nuke9–130.1021%22 Feb →
nuke5–13-0.0735%12 Feb →
mirage8–13-0.0950%11 Feb →
mirage12–120.0121%6 Feb →
inferno1–13-0.0425%6 Feb →
dust26–130.0014%29 Jan →
dust211–13-0.0126%29 Jan →
dust210–13-0.0721%29 Jan →
overpass13–80.0820%29 Jan →
anubis13–5-0.0213%29 Jan →
nuke13–00.0037%29 Jan →
inferno13–60.0521%28 Jan →
dust213–50.0629%27 Jan →
mirage13–3-0.0247%27 Jan →
mirage9–13-0.1126%26 Jan →
dust211–130.0011%26 Jan →
dust213–50.0114%26 Jan →
mirage13–5-0.0313%25 Jan →
ancient13–90.0520%25 Jan →
ancient13–7-0.0516%24 Jan →
mirage13–4-0.0327%24 Jan →
dust213–100.0341%24 Jan →
mirage5–13-0.0137%23 Jan →
alpine12–120.0333%23 Jan →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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