G1

G1 — CS2 Stats

GB76561198321400001[U:1:361134273]Steam profile ↗✓ No bans

329Tracked matches52%Win rate2020Tracked since
CSDB Rating4.9 DevelopingClutch Specialist
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver III
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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CSDB.GGG1FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning50
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY55405Last 10055%Win rateWLWLLWWTLL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +7.8pp headshot accuracy · −33ms 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

  • 23 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 488ms

Last 10

  • 451 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 559ms

Last 20

  • 8102 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 575ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+1.7 against its own average).

Aim6.4
Utility4.2
Positioning5.0
Opening Duels0.7
Clutch5.6

Strong T-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

sh1ro

Plays most like sh1ro 85% 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

CT openings. Opening success drops from 41% on T to 25% on CT — first contacts on the defending side are being lost.

Reaction time. 602ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim6.4
Positioning5.0
Utility4.2
Mechanics4.3
Opening Duels1.4
Win Impact5.6

Composite 4.9/10 (Developing), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time612ms−71ms
first ⅓ avg 683ms → last ⅓ avg 612ms
Headshot accuracy21.2%+7.5%
first ⅓ avg 13.7% → last ⅓ avg 21.2%

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 · 13–4 · nuke, 18 Dec
45%Best headshot accuracy · 7–13 · cache, 13 Jul
352msFastest reaction time · 2–13 · cache, 3 Aug
13–1Biggest win · ancient, 7 Dec

Across the last 100 tracked matches.

Highlights

14Longest win streak
36In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 100% over 8cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
vertigoA1710759%-0.02
anubisB157847%-0.01
dust2A148657%0.01
ancientA117464%-0.00
nukeA106460%0.04
mirageS880100%-0.01
trainB84450%-0.02
cacheD71614%-0.00
overpass43175%-0.02
inferno2020%-0.01
office2020%-0.01
warden1010%-0.08
golden110100%0.05

Across the last 100 tracked matches.

Faceit stats

Combat

105Matches
43%Win rate
0.88Avg K/D
66.5ADR
41%Headshot %

Clutches & streaks

48%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage825%0.9213.3
Anubis743%0.7511.7
Ancient683%0.9915.3
Nuke450%1.0412.8
Inferno450%0.8813.0
Dust230%0.477.7

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.

21.0%Headshot accuracy
35.3%Accuracy (enemy spotted)
41.4%Spray accuracy
69.5%Counter-strafing
11.3°Preaim
602msReaction time
41.0%T opening success
24.7%CT opening success
0.52Enemies flashed / flash
3.4%Flash assists
4.86HE damage / grenade
7.82Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 24.6981% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
nuke13–80.0525%26 Aug
ancient11–13-0.0121%26 Aug
mirage13–30.0310%23 Aug
dust210–130.0019%23 Aug
inferno5–13-0.0434%23 Aug
mirage13–30.0133%23 Aug
ancient13–8-0.0719%14 Aug
dust212–12-0.0128%14 Aug
cache4–130.0737%14 Aug
ancient8–13-0.0330%9 Aug
cache12–120.0718%9 Aug
nuke13–10-0.0018%7 Aug
overpass13–3-0.058%7 Aug
dust29–13-0.0611%7 Aug
cache10–130.0126%7 Aug
inferno4–130.0311%7 Aug
ancient13–80.0515%7 Aug
vertigo13–10-0.0314%7 Aug
overpass7–130.0621%3 Aug
cache2–13-0.0938%3 Aug
vertigo8–13-0.0018%3 Aug
vertigo13–50.0620%29 Jul
anubis13–50.0720%29 Jul
anubis8–13-0.0636%26 Jul
cache13–60.0411%23 Jul
dust213–9-0.0016%23 Jul
anubis5–13-0.0515%23 Jul
nuke12–120.1122%23 Jul
dust213–100.0315%19 Jul
mirage13–50.0326%19 Jul
vertigo4–13-0.107%13 Jul
cache7–13-0.0545%13 Jul
anubis13–11-0.0413%22 Jun
cache10–13-0.0623%22 Jun
anubis4–13-0.0516%6 Feb
warden1–13-0.0811%6 Feb
anubis12–12-0.0121%2 Feb
dust27–13-0.0516%2 Feb
vertigo2–100.0417%2 Feb
ancient4–13-0.0328%21 Dec
overpass13–7-0.0823%21 Dec
anubis13–4-0.105%21 Dec
dust213–60.0516%21 Dec
dust25–130.0414%21 Dec
vertigo13–3-0.052%21 Dec
train3–13-0.0319%20 Dec
mirage13–30.0029%20 Dec
dust213–90.0310%20 Dec
anubis13–4-0.0326%18 Dec
mirage13–2-0.0210%18 Dec
vertigo13–4-0.0519%18 Dec
nuke13–40.1116%18 Dec
vertigo13–6-0.0119%17 Dec
vertigo7–13-0.077%17 Dec
anubis12–12-0.0116%16 Dec
dust213–80.0117%8 Dec
anubis8–13-0.0110%7 Dec
vertigo13–6-0.0216%7 Dec
mirage13–7-0.0913%7 Dec
ancient13–10.0221%7 Dec
nuke13–70.0020%7 Dec
dust213–6-0.0514%7 Dec
vertigo13–11-0.012%6 Dec
ancient13–9-0.0115%6 Dec
anubis13–30.0110%6 Dec
dust213–40.0015%6 Dec
train13–6-0.0013%6 Dec
mirage13–7-0.0719%6 Dec
nuke13–50.039%5 Dec
dust213–20.107%5 Dec
train13–9-0.018%5 Dec
office10–130.0717%5 Dec
vertigo11–13-0.039%5 Dec
nuke11–130.0223%4 Dec
overpass13–7-0.0110%4 Dec
train13–90.0012%4 Dec
ancient13–80.0213%4 Dec
mirage13–7-0.0112%4 Dec
train13–10-0.033%3 Dec
dust29–130.0123%3 Dec
vertigo13–8-0.028%3 Dec
vertigo13–9-0.0113%29 Nov
office2–13-0.089%29 Nov
vertigo11–13-0.0613%22 Nov
ancient13–50.079%14 Nov
nuke8–30.030%13 Nov
train11–130.038%13 Nov
anubis13–100.0713%12 Nov
vertigo13–30.0320%12 Nov
nuke6–130.0115%12 Nov
train6–13-0.1110%9 Nov
vertigo11–130.0113%25 Oct
anubis13–20.0614%19 Oct
golden13–110.0511%10 Oct
anubis7–13-0.0324%29 Aug
train2–13-0.0228%29 Aug
ancient13–10-0.0133%29 Aug
nuke8–130.0720%28 Aug
anubis3–100.0220%26 Aug
ancient9–13-0.008%26 Aug

Match data via Leetify.

Recent teammates

Milestones

100 Matches14-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →