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Gotcha — CS2 Stats

CA76561198003161679[U:1:42895951]Steam profile ↗✓ No bans

599Tracked matches43%Win rate2021Tracked since
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating10,109Blue band · top ~54.3% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (27 days ago). 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: 10,109 -6,323 27 Dec – 4 Sept · 22 days played
9,71017,700peak 17,70027 Dec4 Sept
17,783Peak Premier in tracked matches
39Days played since 2025-12-27

Premier CS Rating

  • 7,591 below peak (17,700)
  • -5,501 over 90 days
  • Next: Purple band at 15,000 — 4,891 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.

Share this profile

CSDB.GGGotchaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER10,109 · Blue bandcsdb.gg/stats

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Performance scores

Aim52
Positioning55
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY39–57–4Last 10039%Win rateWWLWWWLLWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −3.1pp headshot accuracy · +21ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 617ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 616ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 605ms

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 (+1.1 against its own average).

Aim5.2
Utility4.7
Positioning5.5
Opening Duels3.4
Clutch4.0

Limited utility dependence

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 81% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 48% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 633ms 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

Aim5.2
Positioning5.5
Utility4.7
Mechanics5.5
Opening Duels2.3
Win Impact2.8

Composite 4.5/10 (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 rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time637ms−93ms
first ⅓ avg 730ms → last ⅓ avg 637ms
Headshot accuracy12.9%+1.3%
first ⅓ avg 11.7% → last ⅓ avg 12.9%

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

0.12Best match rating · 13–4 · dust2, 5 May →
26%Best headshot accuracy · 9–13 · dust2, 3 Jan →
391msFastest reaction time · 2–9 · inferno, 4 Jun →
13–2Biggest win · dust2, 21 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
9–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 50% over 16ancientWeakest map · 24% over 21
MapGradePlayedRecordWin rateAvg rating
dust2B3517–1849%0.01
ancientD215–1624%0.00
nukeD175–1229%-0.02
anubisB168–850%-0.00
inferno—30–30%-0.11
mirage—21–150%0.00
cache—21–150%0.03
overpass—21–150%-0.05
vertigo—11–0100%0.07
poseidon—10–10%-0.15

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (24% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

18Matches
39%Win rate
0.92Avg K/D
80.1ADR
39%Headshot %

Clutches & streaks

40%1v1 clutch win
12%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2450%1.0814.0
Inferno10%1.2117.0
Ancient10%1.4423.0

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.

13.4%Headshot accuracy
34.0%Accuracy (enemy spotted)
34.7%Spray accuracy
74.6%Counter-strafing
9.9°Preaim
633msReaction time
28.5%T opening success
48.0%CT opening success
0.65Enemies flashed / flash
2.2%Flash assists
10.76HE damage / grenade
3.79Flashes / 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 13.3925% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.7907 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 28.5164% — below the 40% mark we flag

Spend your practice time on Ancient

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

24% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–4-0.018%4 Sept →
ancient13–110.0314%4 Sept →
nuke10–13-0.0313%21 Aug →
dust213–20.1124%21 Aug →
anubis4–00.030%19 Aug →
dust213–50.029%19 Aug →
inferno2–13-0.1010%19 Aug →
ancient6–13-0.0310%19 Aug →
dust213–70.0017%18 Aug →
anubis7–13-0.059%18 Aug →
nuke11–13-0.018%17 Aug →
anubis13–9-0.0024%17 Aug →
ancient6–13-0.0412%16 Aug →
anubis13–40.0123%16 Aug →
dust213–110.0214%16 Aug →
ancient8–130.0110%16 Aug →
vertigo9–30.078%15 Aug →
poseidon3–9-0.1517%15 Aug →
ancient11–130.0413%10 Aug →
dust29–13-0.0518%10 Aug →
ancient10–13-0.0112%6 Aug →
dust213–9-0.019%6 Aug →
mirage13–70.0613%6 Aug →
dust213–90.0611%5 Aug →
nuke4–13-0.039%5 Aug →
cache6–13-0.0515%5 Aug →
dust213–160.0116%5 Aug →
dust23–13-0.020%4 Aug →
nuke4–13-0.0612%4 Aug →
cache13–20.1115%16 Jul →
dust210–13-0.0416%16 Jul →
ancient11–13-0.0519%2 Jul →
nuke7–13-0.0222%2 Jul →
dust29–130.0317%2 Jul →
dust215–15-0.0014%7 Jun →
ancient10–130.025%7 Jun →
dust213–80.0310%7 Jun →
nuke4–9-0.0623%4 Jun →
inferno3–9-0.1420%4 Jun →
overpass9–4-0.033%4 Jun →
inferno2–9-0.0920%4 Jun →
dust210–130.0414%29 May →
nuke13–70.079%29 May →
dust215–15-0.0119%29 May →
ancient13–80.047%29 May →
anubis13–11-0.0111%23 May →
ancient9–13-0.0123%23 May →
nuke11–13-0.039%23 May →
ancient8–13-0.0214%22 May →
nuke9–13-0.0212%22 May →
dust22–130.0320%22 May →
dust27–13-0.0814%21 May →
dust210–13-0.0321%21 May →
ancient13–110.0115%19 May →
dust213–7-0.0112%19 May →
dust213–10-0.053%14 May →
ancient12–160.008%14 May →
dust213–80.015%14 May →
ancient8–130.0014%14 May →
ancient8–130.037%10 May →
anubis6–13-0.069%10 May →
anubis13–7-0.0010%10 May →
ancient7–130.0214%8 May →
dust216–130.0213%7 May →
nuke13–9-0.0513%5 May →
dust213–40.1211%5 May →
anubis11–130.0812%5 May →
ancient9–130.0616%4 May →
nuke6–13-0.0413%4 May →
nuke0–130.0110%4 May →
anubis8–13-0.058%1 May →
dust213–70.0110%1 May →
anubis8–13-0.0113%29 Apr →
nuke13–60.0114%29 Apr →
dust22–13-0.107%29 Apr →
dust213–16-0.039%22 Apr →
dust215–150.0417%22 Apr →
ancient8–13-0.0411%22 Apr →
nuke11–13-0.052%22 Apr →
anubis15–15-0.0319%21 Apr →
dust213–110.0910%14 Apr →
mirage2–13-0.050%14 Apr →
ancient6–130.0216%14 Apr →
dust22–13-0.0414%13 Apr →
anubis13–110.0415%13 Apr →
nuke13–11-0.0216%13 Apr →
ancient13–9-0.066%4 Apr →
dust213–100.0517%4 Apr →
anubis13–7-0.0215%4 Apr →
dust213–50.0517%4 Apr →
dust210–13-0.047%13 Feb →
nuke13–6-0.048%13 Feb →
dust213–110.0115%6 Feb →
nuke3–13-0.046%6 Feb →
anubis5–13-0.0010%29 Jan →
dust213–16-0.0310%29 Jan →
ancient13–110.0310%24 Jan →
anubis11–130.0210%24 Jan →
dust29–130.0326%3 Jan →
overpass5–13-0.088%27 Dec →

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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