AUGMENTED

AUGMENTED — CS2 Stats

76561199440276207[U:1:1480010479]Steam profile ↗✓ No bans

2,047Tracked matches41%Win rate2024Tracked since
3,283Hours in CS67Hrs last 2 wks
CSDB Rating3.4 LearningPositional Player
Premier CS Rating2,480Grey band · top ~89.5% of ranked players (population est.)
WingmanSilver III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 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: 2,480 -600 31 Aug – 14 Nov · 23 days played
1,4864,135peak 4,13531 Aug14 Nov
4,135Peak Premier in tracked matches
20Days played since 2026-08-31

Premier CS Rating

  • 1,655 below peak (4,135)
  • Next: Light Blue band at 5,000 — 2,520 to go

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 Grey band among CSDB-tracked players (n=4,140), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate33.7%38.3%40.0%6.3% short
Shot accuracy0.0%3.6%6.9%6.9% short
Kill/death ratio0.920.830.92meets
Match win rate42.8%40.2%42.3%meets

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAUGMENTEDPREMIER2,480 · Grey bandcsdb.gg/stats

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Performance scores

Aim29
Positioning69
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateLWWLLLWWLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −2.7pp headshot accuracy · +19ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 635ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 641ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 631ms

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 (+2.2 against its own average).

Aim2.9
Utility3.3
Positioning6.9
Opening Duels5.9
Clutch2.6

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

jL

Plays most like jL 60% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 632ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 50% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.9
Positioning6.9
Utility3.3
Mechanics0.0
Opening Duels7.8
Win Impact2.1

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time628ms−83ms
first ⅓ avg 711ms → last ⅓ avg 628ms
Headshot accuracy12.8%−1.8%
first ⅓ avg 14.6% → last ⅓ avg 12.8%

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

0.15Best match rating · 10–13 · dust2, 13 Nov →
27%Best headshot accuracy · 13–4 · mirage, 4 Nov →
453msFastest reaction time · 13–8 · inferno, 27 Oct →
13–1Biggest win · anubis, 12 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
2–13In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 60% over 10nukeWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2313–1057%-0.00
dust2C207–1335%0.00
anubisA169–756%0.01
nukeD112–918%0.01
infernoA116–555%-0.01
ancientA106–460%-0.01
cacheD93–633%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,845Lifetime kills
0.92K/D · Top 50% of Grey band
3,606Matches
42.8%Match win rate · Top 50% of Grey band
33.7%Headshot %
0.0%Shot accuracy
6,367MVPs
1,231Hours (in match)
4,045Bombs planted
782Bombs defused

Most-used weapons

Lifetime map wins

6,193dust2
4,488nuke
3,986inferno
835office
695italy
532train
420vertigo
1ar_baggage

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

Faceit stats

Combat

10Matches
50%Win rate
0.77Avg K/D
66.0ADR
33%Headshot %

Clutches & streaks

33%1v1 clutch win
29%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.8815.7
Dust2333%0.7613.7
Ancient2100%0.649.5
Nuke10%0.6511.0
Inferno1100%0.8315.0

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.

13.2%Headshot accuracy
32.9%Accuracy (enemy spotted)
35.7%Spray accuracy
49.7%Counter-strafing
10.6°Preaim
632msReaction time
56.8%T opening success
65.7%CT opening success
0.34Enemies flashed / flash
3.6%Flash assists
6.10HE damage / grenade
5.97Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.1622% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3411 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0217%14 Nov →
ancient13–40.009%14 Nov →
dust213–100.0314%14 Nov →
dust210–130.1520%13 Nov →
mirage6–13-0.0711%13 Nov →
mirage9–13-0.0011%13 Nov →
ancient13–100.0311%13 Nov →
ancient13–6-0.0421%13 Nov →
nuke13–16-0.028%12 Nov →
mirage13–8-0.016%12 Nov →
anubis9–100.0522%12 Nov →
dust28–13-0.0211%12 Nov →
anubis13–10.0924%12 Nov →
dust29–130.0116%11 Nov →
anubis13–7-0.035%11 Nov →
mirage13–100.0813%10 Nov →
nuke11–130.0018%10 Nov →
ancient13–11-0.0312%10 Nov →
anubis13–100.0613%10 Nov →
mirage13–50.0123%10 Nov →
dust211–130.0218%10 Nov →
dust210–13-0.036%10 Nov →
cache5–13-0.0814%10 Nov →
dust26–13-0.0217%10 Nov →
nuke13–60.0413%10 Nov →
anubis11–130.0013%10 Nov →
anubis4–13-0.037%9 Nov →
nuke15–150.048%9 Nov →
mirage4–13-0.029%9 Nov →
anubis6–120.050%9 Nov →
nuke14–16-0.0410%8 Nov →
anubis6–13-0.059%7 Nov →
anubis13–100.0811%7 Nov →
anubis13–70.0119%7 Nov →
ancient13–10-0.0219%7 Nov →
dust211–13-0.0514%7 Nov →
ancient9–130.036%7 Nov →
cache11–13-0.0515%7 Nov →
cache8–130.0120%7 Nov →
mirage13–10-0.0113%7 Nov →
dust26–13-0.0614%7 Nov →
anubis13–90.0114%7 Nov →
anubis13–8-0.0112%6 Nov →
mirage13–50.0810%6 Nov →
mirage13–70.065%6 Nov →
ancient12–160.004%5 Nov →
dust216–12-0.0118%5 Nov →
inferno13–30.0112%5 Nov →
mirage10–13-0.044%5 Nov →
mirage7–130.0113%5 Nov →
nuke11–13-0.0316%4 Nov →
inferno7–130.0512%4 Nov →
dust213–100.0311%4 Nov →
nuke4–13-0.018%4 Nov →
mirage13–40.0227%4 Nov →
mirage13–30.065%4 Nov →
ancient13–70.018%4 Nov →
inferno8–60.089%4 Nov →
cache3–13-0.0114%3 Nov →
ancient9–13-0.065%3 Nov →
cache11–130.0411%3 Nov →
dust212–30.1011%3 Nov →
mirage13–10-0.0210%3 Nov →
cache13–8-0.0310%2 Nov →
inferno3–13-0.0510%2 Nov →
dust213–160.1020%2 Nov →
inferno2–13-0.0714%1 Nov →
dust213–70.027%1 Nov →
nuke3–13-0.0120%1 Nov →
anubis13–5-0.0126%1 Nov →
inferno15–15-0.0625%31 Oct →
mirage13–9-0.0412%31 Oct →
nuke10–130.0315%30 Oct →
mirage13–20.0219%30 Oct →
mirage4–13-0.0911%30 Oct →
mirage8–13-0.080%30 Oct →
inferno11–13-0.078%30 Oct →
mirage8–13-0.0113%30 Oct →
inferno13–7-0.0613%30 Oct →
inferno13–90.0415%30 Oct →
nuke13–30.0614%30 Oct →
mirage13–30.0312%30 Oct →
inferno13–60.0813%30 Oct →
dust213–160.0117%29 Oct →
dust213–80.0614%29 Oct →
anubis8–13-0.058%29 Oct →
dust26–2-0.1310%29 Oct →
mirage13–70.0224%29 Oct →
ancient9–13-0.034%28 Oct →
mirage11–13-0.0514%27 Oct →
cache13–60.0316%27 Oct →
mirage5–130.0218%27 Oct →
cache10–130.0715%27 Oct →
anubis13–40.0221%27 Oct →
inferno13–8-0.0121%27 Oct →
cache13–4-0.0121%27 Oct →
dust212–16-0.0616%26 Oct →
dust210–13-0.0611%26 Oct →
nuke11–13-0.0121%26 Oct →
anubis8–13-0.057%26 Oct →

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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