Jaguar

Jaguar — CS2 Stats

FR76561197974375481[U:1:14109753]Steam profile ↗✓ No bans

4,255Tracked matches48%Win rate2020Tracked since
CSDB Rating5.1 DevelopingSupport
Premier CS Rating12,866Blue band · top ~39.7% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova II
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: 12,866 +3,817 23 Sept – 4 Nov · 25 days played
9,04915,118peak 15,11823 Sept4 Nov
15,875Peak Premier in tracked matches
24Days played since 2026-09-23

Premier CS Rating

  • 2,252 below peak (15,118)
  • +1,098 over 30 days · improving
  • Next: Purple band at 15,000 — 2,134 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Light Blue band first seen 2026-09-23

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

Share this profile

CSDB.GGJaguarFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER12,866 · Blue bandcsdb.gg/stats

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Performance scores

Aim55
Positioning53
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY56–40–4Last 10056%Win rateLLLWLLWWWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +0.6pp headshot accuracy · +134ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 26%
  • Avg reaction 785ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 28%
  • Avg reaction 779ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 712ms

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).

Aim5.5
Utility5.6
Positioning5.3
Opening Duels2.4
Clutch2.0

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 79% 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. 705ms 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

Aim5.5
Positioning5.3
Utility5.6
Mechanics7.6
Opening Duels2.5
Win Impact4.4

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time700ms+54ms
first ⅓ avg 645ms → last ⅓ avg 700ms
Headshot accuracy26.8%+1.7%
first ⅓ avg 25.1% → last ⅓ avg 26.8%

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 · 13–5 · ancient, 24 Oct →
43%Best headshot accuracy · 5–13 · cache, 24 Oct →
438msFastest reaction time · 13–9 · cache, 1 Nov →
13–2Biggest win · cache, 21 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
5–4In matches decided by ≤2 rounds
16Overtime games

Map breakdown

nukeBest map · 69% over 13mirageWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A2515–1060%0.01
cacheA169–756%0.02
anubisC146–843%0.03
mirageC145–936%0.01
nukeS139–469%0.01
ancientS128–467%0.04
infernoS64–267%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

88Matches
48%Win rate
0.87Avg K/D
72.5ADR
62%Headshot %

Clutches & streaks

30%1v1 clutch win
23%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust21136%0.9012.6
Mirage633%0.7115.0
Inferno250%0.8514.0
Ancient250%1.3410.0
Nuke10%1.2525.0
Cache10%0.8421.0
Overpass10%1.0016.0

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.

26.5%Headshot accuracy
29.4%Accuracy (enemy spotted)
30.7%Spray accuracy
84.2%Counter-strafing
11.5°Preaim
705msReaction time
37.5%T opening success
42.5%CT opening success
0.60Enemies flashed / flash
6.5%Flash assists
6.36HE damage / grenade
10.17Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 704.5016ms — above the 700ms mark we flag

    Aim Training →
  2. 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 37.5389% — below the 40% mark we flag

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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–130.0028%4 Nov →
anubis6–13-0.0425%4 Nov →
dust29–13-0.0722%4 Nov →
nuke13–110.0636%3 Nov →
dust26–13-0.0818%3 Nov →
dust23–13-0.0629%3 Nov →
dust213–8-0.0523%3 Nov →
cache13–50.0639%2 Nov →
nuke13–80.0231%2 Nov →
dust213–30.1334%2 Nov →
anubis10–130.0535%1 Nov →
inferno13–70.0723%1 Nov →
anubis12–160.0324%1 Nov →
cache9–130.0137%1 Nov →
mirage13–70.0430%1 Nov →
nuke13–110.0327%1 Nov →
cache13–90.0633%1 Nov →
mirage15–15-0.0416%1 Nov →
cache13–10-0.0326%31 Oct →
inferno10–13-0.0429%31 Oct →
dust214–160.0328%31 Oct →
dust213–9-0.0011%31 Oct →
mirage2–13-0.0910%31 Oct →
nuke5–13-0.129%31 Oct →
dust213–8-0.0122%31 Oct →
dust213–80.0827%30 Oct →
nuke13–80.0330%30 Oct →
ancient4–13-0.1121%30 Oct →
dust211–130.0139%30 Oct →
anubis10–130.0431%30 Oct →
dust213–10-0.0140%29 Oct →
mirage15–150.0431%29 Oct →
dust213–90.0424%29 Oct →
ancient16–14-0.0125%27 Oct →
nuke13–60.0719%27 Oct →
mirage10–130.0420%25 Oct →
ancient8–130.0323%25 Oct →
anubis7–13-0.0143%25 Oct →
anubis11–130.0518%25 Oct →
anubis13–16-0.0219%24 Oct →
dust23–13-0.0532%24 Oct →
cache5–13-0.0143%24 Oct →
ancient10–130.0219%24 Oct →
dust213–60.0423%24 Oct →
ancient13–50.1931%24 Oct →
nuke13–30.1138%23 Oct →
mirage13–70.0723%23 Oct →
inferno13–60.0930%22 Oct →
ancient13–80.0533%22 Oct →
dust213–16-0.0418%21 Oct →
anubis10–130.0532%21 Oct →
cache13–20.0730%21 Oct →
inferno10–130.0323%21 Oct →
dust213–20.0334%20 Oct →
nuke13–16-0.0128%20 Oct →
anubis13–50.1243%20 Oct →
mirage13–70.0623%18 Oct →
dust213–50.1327%18 Oct →
anubis13–60.0218%18 Oct →
dust213–10-0.0724%18 Oct →
ancient13–80.0915%18 Oct →
cache9–130.0525%18 Oct →
cache6–130.0123%18 Oct →
cache13–10-0.0035%18 Oct →
ancient13–100.0526%18 Oct →
ancient13–80.0724%17 Oct →
cache13–60.0423%17 Oct →
nuke2–13-0.0119%17 Oct →
mirage7–130.0115%17 Oct →
nuke13–10-0.0425%17 Oct →
mirage16–13-0.0320%17 Oct →
ancient16–130.0621%16 Oct →
mirage13–50.0426%16 Oct →
nuke16–14-0.0234%16 Oct →
cache13–160.0423%3 Oct →
anubis13–110.0028%3 Oct →
nuke13–90.0126%3 Oct →
cache13–2-0.0113%3 Oct →
mirage15–150.0130%3 Oct →
mirage15–15-0.0216%2 Oct →
mirage6–13-0.0131%2 Oct →
dust213–70.0425%2 Oct →
inferno13–20.0617%2 Oct →
mirage12–160.0825%1 Oct →
dust213–40.0132%1 Oct →
anubis13–40.0929%1 Oct →
ancient13–100.0623%1 Oct →
anubis13–60.0524%1 Oct →
dust213–6-0.0121%1 Oct →
dust26–13-0.0219%30 Sept →
dust210–130.0617%30 Sept →
cache13–50.0236%30 Sept →
anubis13–100.0022%30 Sept →
cache13–60.0113%29 Sept →
dust213–80.0435%29 Sept →
inferno16–120.0627%28 Sept →
cache11–13-0.0125%28 Sept →
nuke4–13-0.0333%28 Sept →
dust28–13-0.0239%27 Sept →
ancient5–13-0.0339%27 Sept →

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 →

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