gibby

gibby — CS2 Stats

MD76561199406387311[U:1:1446121583]Steam profile ↗✓ No bans

723Tracked matches59%Win rate2024Tracked since
CSDB Rating4.9 DevelopingAll-Rounder
Premier CS Rating13,161Blue band · top ~38.1% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Aug 2026 (34 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 38 days played since 22 Apr 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 13,161 +939 24 Apr – 23 Aug · 22 days played
11,38014,635peak 14,63524 Apr23 Aug
14,635Peak Premier in tracked matches
38Days played since 2026-04-22

Premier CS Rating

  • 1,474 below peak (14,635)
  • +1,064 over 90 days
  • Next: Purple band at 15,000 — 1,839 to go
  • Reached: 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.GGgibbyPREMIER13,161 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning58
Utility43

0–100 skill scores via Leetify.

Recent form

COLD56–37–7Last 10056%Win rateTWLLLWLWLL

Last 10 vs previous 10: −60pp win rate · +0.01 avg rating · +2.4pp headshot accuracy · −71ms reaction

Win rate down 60pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 511ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 559ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 594ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.9
Utility4.3
Positioning5.8
Opening Duels5.7
Clutch4.6

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

m0NESY

Plays most like m0NESY 87% 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

Reaction time. 591ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim5.9
Positioning5.8
Utility4.3
Mechanics2.5
Opening Duels4.7
Win Impact7.9

Composite 4.9/10 (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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time601ms−59ms
first ⅓ avg 660ms → last ⅓ avg 601ms
Headshot accuracy15.9%−2.0%
first ⅓ avg 17.9% → last ⅓ avg 15.9%

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

0.24Best match rating · 9–3 · inferno, 27 May →
43%Best headshot accuracy · 9–3 · vertigo, 3 Jun →
406msFastest reaction time · 2–13 · inferno, 22 May →
13–1Biggest win · ancient, 4 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 77% over 13ancientWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB2914–1548%0.01
mirageB2110–1148%0.02
nukeS1310–377%0.01
anubisA127–558%-0.04
ancientC94–544%0.01
dust2—42–250%-0.01
office—43–175%-0.01
vertigo—33–0100%0.08
overpass—31–233%-0.00
cache—22–0100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

173Matches
53%Win rate
0.96Avg K/D
80.1ADR
42%Headshot %

Clutches & streaks

43%1v1 clutch win
27%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6156%0.8914.8
Dust22959%1.0415.8
Nuke2846%0.8213.4
Anubis2045%0.9915.8
Ancient1741%0.9917.3
Inferno1457%1.2419.0
Cache250%0.7110.0
Vertigo1100%1.1317.0

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.

15.4%Headshot accuracy
36.1%Accuracy (enemy spotted)
43.6%Spray accuracy
61.4%Counter-strafing
9.9°Preaim
591msReaction time
42.0%T opening success
55.2%CT opening success
0.62Enemies flashed / flash
11.6%Flash assists
6.82HE damage / grenade
3.96Flashes / 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. Grenades & Utility

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

    Flashes per match 3.9576 — below the 4 mark we flag

    Grenade Lineups →
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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient15–150.0217%23 Aug →
nuke13–60.0818%16 Aug →
ancient6–130.0613%14 Aug →
mirage7–130.0714%14 Aug →
anubis6–13-0.074%14 Aug →
ancient13–11-0.0118%13 Aug →
mirage10–130.0215%12 Aug →
nuke13–110.0621%11 Aug →
ancient11–13-0.0212%9 Aug →
inferno7–80.0413%7 Aug →
dust213–110.0714%5 Aug →
ancient13–10.1516%4 Aug →
mirage13–60.079%4 Aug →
anubis13–1-0.0914%4 Aug →
mirage13–70.048%4 Aug →
mirage13–6-0.0017%4 Aug →
nuke13–90.0113%4 Aug →
mirage7–13-0.083%4 Aug →
ancient13–10-0.0113%4 Aug →
anubis13–90.0113%3 Aug →
inferno8–80.1324%3 Aug →
inferno9–4-0.0424%3 Aug →
anubis13–4-0.0311%3 Aug →
mirage9–130.0321%3 Aug →
mirage7–130.0215%2 Aug →
anubis7–13-0.0514%29 Jul →
dust28–13-0.0310%28 Jul →
office13–80.0132%27 Jul →
inferno9–40.2023%27 Jul →
inferno8–13-0.0320%26 Jul →
inferno13–40.0428%26 Jul →
office13–10-0.0623%26 Jul →
ancient16–14-0.0716%25 Jul →
nuke13–80.0220%25 Jul →
vertigo13–40.1021%25 Jul →
office6–13-0.0621%25 Jul →
mirage2–13-0.0715%25 Jul →
inferno7–9-0.0214%25 Jul →
vertigo13–50.0411%25 Jul →
office13–40.0521%25 Jul →
anubis13–100.0719%25 Jul →
inferno5–00.1033%25 Jul →
mirage13–6-0.0113%25 Jul →
vertigo9–30.0843%3 Jun →
mirage13–16-0.0422%2 Jun →
inferno9–40.0510%31 May →
inferno7–9-0.013%27 May →
inferno9–30.2419%27 May →
nuke8–130.0122%26 May →
mirage9–130.0515%25 May →
dust213–60.0020%25 May →
nuke8–13-0.0115%24 May →
inferno8–80.069%24 May →
mirage13–60.009%24 May →
nuke10–130.009%24 May →
anubis13–11-0.038%24 May →
nuke13–90.0617%24 May →
mirage5–13-0.098%23 May →
inferno8–8-0.1414%23 May →
anubis8–13-0.0615%22 May →
mirage13–30.044%22 May →
inferno2–13-0.0516%22 May →
anubis7–13-0.0321%22 May →
nuke13–5-0.0518%22 May →
ancient15–15-0.0012%21 May →
inferno9–70.0213%21 May →
inferno9–70.0619%21 May →
nuke13–4-0.0110%20 May →
nuke13–8-0.049%20 May →
inferno9–7-0.0216%19 May →
overpass13–110.0320%19 May →
anubis13–7-0.0315%19 May →
inferno9–60.0214%19 May →
mirage3–130.1115%18 May →
mirage13–90.0312%18 May →
mirage13–40.0818%18 May →
inferno13–80.0627%18 May →
mirage13–110.0817%18 May →
overpass4–13-0.0316%18 May →
inferno10–130.0011%17 May →
dust210–13-0.0814%3 May →
anubis6–13-0.1013%3 May →
inferno3–9-0.1822%3 May →
cache13–6-0.0113%3 May →
cache13–6-0.0518%3 May →
inferno10–13-0.040%28 Apr →
nuke13–5-0.0132%28 Apr →
anubis13–10-0.0216%28 Apr →
mirage3–12-0.0235%27 Apr →
ancient9–13-0.0124%27 Apr →
inferno8–8-0.0733%26 Apr →
overpass15–15-0.0024%26 Apr →
inferno11–13-0.0610%25 Apr →
mirage13–80.0413%25 Apr →
inferno16–12-0.0428%24 Apr →
nuke13–60.0110%24 Apr →
inferno5–9-0.0412%22 Apr →
inferno3–9-0.157%22 Apr →
inferno9–30.1140%22 Apr →
inferno9–40.1025%22 Apr →

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 →