BigVert — CS2 Stats

76561198248205196[U:1:287939468]

1,717Tracked matches34%Win rate2023Tracked since
CSDB Rating2.6 Learning
Premier CS Rating3,596Grey band · top ~84.7% of ranked players (population est.)
CSDB Leaderboard#13480 of 17463 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGBigVertFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER3,596 · Grey bandcsdb.gg/stats

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Performance scores

Aim35
Positioning19
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY35578Last 10035%Win rateLWTLLWLWLW

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Aim3.5
Aggression0.0
Utility4.8
Positioning1.9
Opening Duels0.0
Clutch3.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 63% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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 23% on CT to 6% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 682ms 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

Aim3.5
Positioning1.9
Utility4.8
Mechanics4.6
Opening Duels0.0
Win Impact0.0

Composite 2.6/10 (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 rating-0.05−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time671ms−105ms
first ⅓ avg 777ms → last ⅓ avg 671ms
Headshot accuracy14.9%−2.4%
first ⅓ avg 17.3% → last ⅓ avg 14.9%

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.

Highlights

0.05Best rating — overpass 13–5
131Biggest win — anubis
2Longest win streak
35In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 50% over 8cacheWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB136746%-0.07
nukeD134931%-0.06
anubisD134931%-0.03
cacheD1221017%-0.05
overpassB115645%-0.03
ancientD102820%-0.03
dust2C104640%-0.03
mirageB84450%-0.03
trainD61517%-0.06
vertigo43175%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

41Matches
34%Win rate
0.57Avg K/D
55.5ADR
41%Headshot %

Clutches & streaks

36%1v1 clutch win
6%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1443%0.5911.4
Anubis862%0.8710.3
Ancient60%0.417.0
Dust2520%0.487.8
Train520%0.355.6
Nuke20%0.5711.0
Inferno1100%0.509.0

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
29.8%Accuracy (enemy spotted)
34.0%Spray accuracy
70.7%Counter-strafing
11.6°Preaim
682msReaction time
5.9%T opening success
22.8%CT opening success
0.58Enemies flashed / flash
3.9%Flash assists
8.37HE damage / grenade
4.29Flashes / 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

    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 5.9328% — 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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0220%28 Aug
inferno13–5-0.125%26 Aug
nuke12–12-0.019%26 Aug
inferno10–13-0.126%26 Aug
anubis0–13-0.1025%26 Aug
anubis13–4-0.0416%25 Aug
nuke6–13-0.0153%23 Aug
inferno13–11-0.1017%22 Aug
nuke10–130.0114%21 Aug
mirage13–70.0119%12 Aug
dust21–13-0.036%12 Aug
mirage13–6-0.069%10 Aug
mirage8–13-0.005%10 Aug
nuke9–13-0.0512%10 Aug
anubis13–100.0412%2 Aug
inferno8–13-0.0510%1 Aug
dust27–13-0.0243%27 Jul
anubis1–130.0150%27 Jul
cache4–13-0.0620%26 Jul
cache8–13-0.0513%26 Jul
anubis5–13-0.0413%23 Jul
dust213–10-0.0311%23 Jul
ancient13–11-0.0914%22 Jul
ancient4–13-0.040%21 Jul
cache0–2-0.170%20 Jul
anubis6–13-0.058%20 Jul
cache4–13-0.000%20 Jul
ancient9–13-0.0828%20 Jul
inferno13–10-0.075%12 Jul
mirage13–10-0.0218%10 Jul
nuke12–12-0.056%9 Jul
nuke9–13-0.0710%9 Jul
dust213–4-0.0515%9 Jul
inferno13–10-0.0629%3 Jul
inferno10–13-0.0612%3 Jul
nuke13–7-0.077%3 Jul
ancient10–130.0126%3 Jul
dust213–3-0.028%25 Jun
mirage12–12-0.0322%14 Jun
inferno13–3-0.0513%25 May
dust210–13-0.003%25 May
ancient12–12-0.0911%25 May
inferno10–13-0.075%18 May
nuke6–13-0.0513%18 May
cache4–13-0.0314%17 May
cache12–12-0.0518%6 May
dust210–13-0.1019%5 May
mirage7–13-0.0318%5 May
cache6–13-0.0415%4 May
cache13–4-0.0220%2 May
cache4–6-0.038%2 May
cache3–13-0.067%2 May
cache1–13-0.089%2 May
cache13–9-0.0213%30 Apr
anubis13–1-0.0219%25 Apr
inferno9–13-0.1110%24 Apr
ancient5–130.0011%24 Apr
mirage5–13-0.0912%20 Apr
nuke4–13-0.0811%20 Apr
inferno2–13-0.0513%20 Apr
inferno9–2-0.0316%15 Apr
anubis11–13-0.0216%15 Apr
anubis3–13-0.0017%15 Apr
vertigo13–30.0415%13 Apr
vertigo0–10-0.100%8 Apr
nuke0–9-0.260%8 Apr
vertigo13–5-0.028%8 Apr
ancient4–130.0110%6 Apr
mirage13–8-0.0619%6 Apr
nuke13–6-0.0619%2 Apr
dust28–13-0.0415%2 Apr
anubis12–12-0.0024%1 Apr
anubis13–9-0.0415%1 Apr
nuke13–11-0.1314%28 Mar
overpass10–130.0216%28 Mar
anubis5–13-0.0622%20 Mar
overpass5–13-0.0617%20 Mar
overpass13–9-0.0822%20 Mar
overpass13–9-0.0512%12 Mar
dust215–150.0123%12 Mar
dust213–8-0.0014%12 Mar
overpass2–13-0.1021%12 Mar
overpass13–50.059%4 Mar
overpass13–8-0.0018%4 Mar
overpass6–13-0.058%4 Mar
train3–13-0.0533%27 Feb
overpass6–13-0.0220%27 Feb
train10–13-0.0415%27 Feb
train4–13-0.1011%27 Feb
inferno12–12-0.0322%24 Feb
ancient13–90.0214%24 Feb
anubis7–13-0.028%18 Feb
overpass4–13-0.0438%18 Feb
train13–8-0.0216%18 Feb
train5–13-0.138%17 Feb
overpass7–00.028%17 Feb
train4–13-0.0012%17 Feb
vertigo13–40.0424%16 Feb
ancient11–13-0.0416%15 Feb
nuke13–90.0329%15 Feb

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →