JA ( ^◡^) ∩

JA ( ^◡^) ∩ — CS2 Stats

SK76561198293664873[U:1:333399145]Steam profile ↗✓ No bans

1,619Tracked matches59%Win rate2020Tracked since
3,321Hours in CS
CSDB Rating6.7 SolidPositional Player
Premier CS Rating18,453Purple band · top ~14.7% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,453 -194 7 Jun – 4 Nov · 26 days played
15,90519,953peak 19,9537 Jun4 Nov
19,953Peak Premier in tracked matches
1,880Highest Faceit ELO seen on CSDB
31Days played since 2026-06-07

Faceit ELO

  • At peak — 1,880
  • Next: Level 10 at 2,001 — 121 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

  • 1,500 below peak (19,953)
  • +1,708 over 30 days · improving
  • Next: Pink band at 20,000 — 1,547 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate42.9%44.4%46.9%4.0% short
Shot accuracy13.4%11.9%13.0%above
Kill/death ratio1.021.031.080.06 short
Match win rate42.1%45.2%46.7%4.6% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJA ( ^◡^) ∩ PREMIER18,453 · Purple bandPEAK ELO1,880csdb.gg/stats

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

Aim76
Positioning60
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWWLWWWLWLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −6.2pp headshot accuracy · −3ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 648ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 593ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 595ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim7.6
Utility5.9
Positioning6.0
Opening Duels2.9
Clutch3.8

Strong CT-side opener

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 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 580ms 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

Aim7.6
Positioning6.0
Utility5.9
Mechanics7.3
Opening Duels4.2
Win Impact7.9

Composite 6.7/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time572ms−31ms
first ⅓ avg 603ms → last ⅓ avg 572ms
Headshot accuracy20.2%−3.3%
first ⅓ avg 23.5% → last ⅓ avg 20.2%

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

0.11Best match rating · 13–8 · mirage, 18 Oct →
45%Best headshot accuracy · 13–9 · ancient, 7 Sept →
359msFastest reaction time · 8–13 · mirage, 21 Oct →
13–1Biggest win · inferno, 20 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
8–3In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 58% over 24cacheWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2A2414–1058%0.01
mirageB2311–1248%-0.02
infernoB189–950%0.01
cacheC135–838%0.02
ancientA116–555%-0.01
nukeC52–340%0.02
anubis—42–250%-0.02
overpass—22–0100%0.01

Across the last 100 tracked matches.

Lifetime stats

171,897Lifetime kills
1.02K/D
8,792Matches
42.1%Match win rate
42.9%Headshot %
13.4%Shot accuracy · Top 50% of Purple band
21,644MVPs
3,321Hours (in match)
7,976Bombs planted
1,615Bombs defused

Most-used weapons

AK-4739,319
AWP29,334
MP73,869
MP93,841
FAMAS3,644
MAC-103,482

Lifetime map wins

21,825dust2
14,195inferno
1,503nuke
942vertigo
636train
537office
368cbble
168lake

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

Faceit stats

Combat

862Matches
52%Win rate
0.98Avg K/D
74.8ADR
46%Headshot %

Clutches & streaks

39%1v1 clutch win
15%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage13348%0.9514.2
Dust211252%1.0114.8
Inferno8860%1.0715.2
Ancient4751%1.0816.4
Anubis2548%0.9113.8
Nuke2236%0.8414.0
Overpass1753%0.8212.6
Train650%0.7814.0

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.

20.2%Headshot accuracy
32.2%Accuracy (enemy spotted)
35.3%Spray accuracy
83.0%Counter-strafing
7.7°Preaim
580msReaction time
41.2%T opening success
52.3%CT opening success
0.55Enemies flashed / flash
6.3%Flash assists
12.87HE damage / grenade
6.89Flashes / match

Recommended for you

Spend your practice time on Cache

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 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache16–140.0419%4 Nov →
ancient13–70.0713%4 Nov →
ancient1–13-0.0612%3 Nov →
inferno13–7-0.0712%2 Nov →
ancient13–4-0.0325%2 Nov →
ancient13–3-0.0418%2 Nov →
ancient8–13-0.0122%1 Nov →
dust213–70.0310%29 Oct →
dust24–130.0622%29 Oct →
anubis7–13-0.049%29 Oct →
anubis13–6-0.025%27 Oct →
dust213–110.0235%27 Oct →
nuke13–60.0427%27 Oct →
cache6–13-0.0225%27 Oct →
anubis15–15-0.0216%25 Oct →
dust213–50.0134%25 Oct →
dust213–40.0326%25 Oct →
inferno10–13-0.0120%23 Oct →
cache13–160.0421%23 Oct →
cache10–130.0413%23 Oct →
dust211–13-0.0528%23 Oct →
cache5–130.0719%22 Oct →
nuke3–13-0.0518%22 Oct →
anubis13–100.0019%22 Oct →
nuke13–70.0923%22 Oct →
inferno5–130.0416%22 Oct →
cache13–110.0821%21 Oct →
mirage13–70.0226%21 Oct →
cache13–90.0324%21 Oct →
inferno13–100.0527%21 Oct →
mirage8–13-0.0619%21 Oct →
mirage13–70.0327%21 Oct →
mirage13–80.0218%21 Oct →
dust211–13-0.0118%19 Oct →
ancient13–80.0312%19 Oct →
cache9–130.0116%19 Oct →
nuke5–13-0.0026%19 Oct →
cache9–13-0.0224%18 Oct →
cache6–13-0.0833%18 Oct →
mirage13–80.1127%18 Oct →
dust213–70.0515%18 Oct →
dust213–10-0.0330%18 Oct →
inferno13–100.0624%11 Oct →
ancient12–30.0120%11 Oct →
inferno9–130.0619%22 Sept →
inferno13–60.0716%22 Sept →
mirage4–13-0.0333%22 Sept →
mirage9–13-0.0711%22 Sept →
nuke3–130.0016%20 Sept →
mirage15–15-0.0118%20 Sept →
inferno13–10.0428%20 Sept →
dust212–16-0.0222%20 Sept →
inferno10–130.0125%20 Sept →
mirage4–13-0.0624%20 Sept →
cache2–13-0.0511%19 Sept →
mirage13–5-0.0127%19 Sept →
inferno2–130.0028%18 Sept →
mirage6–13-0.0415%18 Sept →
ancient4–13-0.0411%17 Sept →
dust213–90.0222%17 Sept →
inferno6–130.0018%17 Sept →
inferno6–13-0.0330%16 Sept →
mirage13–90.0126%16 Sept →
dust213–50.0929%16 Sept →
dust213–10-0.0025%16 Sept →
mirage13–160.0015%15 Sept →
dust28–130.0320%15 Sept →
cache13–80.0825%15 Sept →
ancient8–13-0.0017%15 Sept →
mirage13–11-0.0212%15 Sept →
dust213–110.0225%15 Sept →
dust28–13-0.0924%14 Sept →
inferno13–11-0.0223%14 Sept →
mirage13–90.0422%14 Sept →
inferno13–110.0115%14 Sept →
dust28–13-0.0320%14 Sept →
mirage13–6-0.0316%14 Sept →
dust27–13-0.0340%13 Sept →
ancient13–16-0.0423%13 Sept →
inferno4–13-0.0125%7 Sept →
ancient13–9-0.0545%7 Sept →
inferno16–14-0.0129%7 Sept →
mirage9–13-0.1033%16 Aug →
cache13–10-0.0228%16 Aug →
mirage10–13-0.0226%16 Aug →
dust213–7-0.0210%13 Jul →
mirage3–13-0.0621%13 Jul →
dust210–130.0315%13 Jul →
overpass13–100.0426%1 Jul →
mirage13–8-0.0218%1 Jul →
mirage7–13-0.0318%30 Jun →
dust216–12-0.0025%30 Jun →
dust213–160.0132%29 Jun →
inferno8–130.0015%23 Jun →
overpass13–8-0.0130%22 Jun →
mirage13–6-0.0119%22 Jun →
inferno13–60.0321%22 Jun →
dust213–50.0623%22 Jun →
mirage11–13-0.0128%7 Jun →
dust213–100.0528%7 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.