BIGM

BIGM — CS2 Stats

AU76561198213392289[U:1:253126561]Steam profile ↗✓ No bans

1,809Tracked matches38%Win rate2020Tracked since
6,105Hours in CS19Hrs last 2 wks
CSDB Rating5.0 DevelopingHybrid Rifler
Premier CS Rating10,229Blue band · top ~53.7% of ranked players (population est.)
CSDB Leaderboard#30692 of 42803 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.9%41.4%44.2%2.3% short
Shot accuracy16.2%9.0%11.6%above
Kill/death ratio0.970.971.030.06 short
Match win rate53.7%43.7%45.2%above

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

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBIGMPREMIER10,229 · Blue bandcsdb.gg/stats

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Performance scores

Aim70
Positioning48
Utility46

0–100 skill scores via Leetify.

Recent form

COLD42535Last 10042%Win rateWLLLWLLLWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.0
Aggression5.8
Utility4.6
Positioning4.8
Opening Duels1.9

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 86% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

Reaction time. 667ms 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

Aim7.0
Positioning4.8
Utility4.6
Mechanics8.2
Opening Duels1.9
Win Impact1.0

Composite 5.0/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time677ms+7ms
first ⅓ avg 670ms → last ⅓ avg 677ms
Headshot accuracy22.4%+2.3%
first ⅓ avg 20.1% → last ⅓ avg 22.4%

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

0.22Best rating — dust2 13–8
131Biggest win — mirage
5Longest win streak
76In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 73% over 11infernoWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB2091145%-0.01
nukeB1991047%-0.00
infernoD1631319%-0.00
cacheC114736%0.01
anubisS118373%0.01
ancientD102820%0.01
dust2A74357%0.04
vertigo41325%0.03
train220100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

85,516Lifetime kills
0.97K/D
5,098Matches
53.7%Match win rate · Top 5% of Blue band
41.9%Headshot % · Top 50% of Blue band
16.2%Shot accuracy · Top 25% of Blue band
12,541MVPs
1,685Hours (in match)
2,246Bombs planted
1,103Bombs defused

Most-used weapons

AK-4717,944
AWP12,626
P904,930
MP92,587
MAC-102,322
XM10142,237

Lifetime map wins

9,670dust2
5,044inferno
4,332nuke
1,853vertigo
1,537train
855office
359assault
213italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.0%Headshot accuracy
37.4%Accuracy (enemy spotted)
38.6%Spray accuracy
86.9%Counter-strafing
12.5°Preaim
667msReaction time
33.6%T opening success
41.8%CT opening success
0.53Enemies flashed / flash
8.2%Flash assists
9.00HE damage / grenade
5.93Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.4963° — above the 12° mark we flag

    Aim Training
Spend your practice time on Inferno

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

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–8-0.0813%30 Aug
mirage10–13-0.0330%30 Aug
ancient4–130.0129%29 Aug
ancient5–13-0.056%27 Aug
inferno13–50.0318%27 Aug
cache8–130.0443%26 Aug
cache5–13-0.0650%26 Aug
cache7–130.0637%26 Aug
anubis13–70.0527%25 Aug
nuke1–13-0.0718%25 Aug
nuke0–13-0.0420%21 Aug
mirage13–11-0.0523%20 Aug
inferno10–130.0216%20 Aug
anubis13–100.0114%20 Aug
dust213–11-0.0323%20 Aug
nuke9–130.0131%19 Aug
mirage13–80.0221%19 Aug
anubis13–60.0713%19 Aug
nuke9–13-0.0420%19 Aug
cache2–130.0029%18 Aug
mirage11–130.0422%18 Aug
mirage13–60.0411%18 Aug
nuke11–13-0.0719%15 Aug
inferno8–130.0217%13 Aug
train13–11-0.0417%12 Aug
train13–3-0.0124%12 Aug
nuke7–130.038%9 Aug
ancient13–160.0425%9 Aug
inferno15–15-0.0618%7 Aug
mirage10–13-0.0521%7 Aug
dust212–12-0.0130%6 Aug
mirage12–12-0.0633%6 Aug
inferno6–130.0613%5 Aug
mirage8–13-0.0328%5 Aug
anubis7–13-0.0825%4 Aug
inferno13–40.1113%4 Aug
cache13–80.0916%4 Aug
mirage13–110.0029%3 Aug
anubis13–40.0825%3 Aug
vertigo13–40.1728%3 Aug
dust24–13-0.0133%3 Aug
vertigo8–13-0.0629%3 Aug
nuke13–90.0621%3 Aug
ancient5–130.0318%2 Aug
mirage9–13-0.0421%2 Aug
mirage13–90.014%2 Aug
ancient13–90.0511%2 Aug
vertigo7–13-0.0110%30 Jul
nuke13–7-0.016%29 Jul
nuke13–50.1521%29 Jul
vertigo1–130.0019%29 Jul
anubis13–80.1010%28 Jul
nuke10–13-0.0532%28 Jul
nuke16–14-0.0014%28 Jul
inferno11–13-0.0319%27 Jul
nuke14–16-0.0415%27 Jul
mirage16–130.0213%26 Jul
inferno13–60.0610%26 Jul
cache9–13-0.0320%26 Jul
nuke1–8-0.0217%26 Jul
cache3–5-0.090%26 Jul
inferno7–13-0.0710%26 Jul
anubis6–2-0.0225%26 Jul
inferno2–13-0.0727%26 Jul
ancient16–12-0.045%25 Jul
cache13–90.0324%25 Jul
mirage13–11-0.0523%24 Jul
dust213–80.0221%24 Jul
cache7–130.0122%24 Jul
anubis13–40.0317%24 Jul
ancient0–4-0.040%24 Jul
anubis5–13-0.0750%24 Jul
dust213–90.0321%24 Jul
mirage3–13-0.0936%23 Jul
ancient13–160.0716%23 Jul
cache13–100.0316%22 Jul
dust26–130.0918%22 Jul
inferno2–13-0.0119%22 Jul
inferno6–13-0.0415%22 Jul
mirage3–13-0.0116%22 Jul
nuke13–6-0.009%22 Jul
anubis15–15-0.0111%22 Jul
ancient8–13-0.026%21 Jul
nuke11–13-0.0324%21 Jul
anubis13–11-0.065%21 Jul
mirage13–8-0.0113%21 Jul
mirage13–10.1433%21 Jul
inferno12–120.1327%21 Jul
inferno2–13-0.0560%21 Jul
nuke13–60.1225%21 Jul
dust213–80.2225%20 Jul
mirage8–13-0.0226%20 Jul
ancient10–130.0911%20 Jul
cache13–10-0.0118%20 Jul
nuke13–90.016%20 Jul
inferno9–13-0.0527%20 Jul
nuke13–80.0618%20 Jul
mirage5–13-0.0313%19 Jul
inferno10–13-0.0514%19 Jul
mirage5–130.0326%19 Jul

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 →