BigStem

BigStem — CS2 Stats

US76561198237868280[U:1:277602552]Steam profile ↗

1,124Tracked matches52%Win rate2020Tracked since
1,002Hours in CS
CSDB Rating4.8 Developing
FaceitLevel 5 · 800 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGBigStemFACEITLevel 5 · 800 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim51
Positioning56
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY50491Last 10050%Win rateWWWWLLLLLW

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

Player DNA

Aim5.1
Aggression7.8
Utility5.7
Positioning5.6
Opening Duels3.4
Clutch2.8

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

b1t

Plays most like b1t 87% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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 52% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 640ms 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

Aim5.1
Positioning5.6
Utility5.7
Mechanics6.2
Opening Duels3.4
Win Impact5.6

Composite 4.8/10 (Developing), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time642ms−6ms
first ⅓ avg 648ms → last ⅓ avg 642ms
Headshot accuracy14.0%+1.6%
first ⅓ avg 12.5% → last ⅓ avg 14.0%

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

0.15Best rating — cache 13–7
130Biggest win — mirage
8Longest win streak
W4Current streak
1411In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 80% over 5mirageWeakest map · 30% over 23
MapGradePlayedRecordWin rateAvg rating
mirageD2371630%-0.03
dust2B1910953%-0.01
ancientA1810856%-0.00
infernoB105550%-0.01
nukeA95456%-0.01
anubisS97278%-0.00
overpassD62433%-0.00
cacheS54180%0.05
train1010%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 23). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,825Lifetime kills
0.82K/D
2,501Matches
44.3%Match win rate
34.9%Headshot %
12.3%Shot accuracy · Top 50% of tracked players
4,144MVPs
1,002Hours (in match)
2,847Bombs planted
450Bombs defused

Most-used weapons

AK-4710,512
AWP5,661
MP9968
P250704
Knife654

Lifetime map wins

5,615dust2
3,521inferno
1,571nuke
1,045vertigo
526train
273office
25aztec
16italy

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

Faceit stats

Combat

948Matches
50%Win rate
0.99Avg K/D
76.8ADR
37%Headshot %

Clutches & streaks

34%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage20052%1.0114.6
Dust213454%1.0414.8
Ancient8554%1.1214.7
Inferno8351%0.9715.3
Anubis5553%0.9213.7
Nuke5237%0.8512.8
Cache1958%0.9913.6
Overpass1822%0.7212.4

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.

13.0%Headshot accuracy
34.0%Accuracy (enemy spotted)
35.9%Spray accuracy
77.7%Counter-strafing
10.9°Preaim
640msReaction time
35.9%T opening success
51.6%CT opening success
0.60Enemies flashed / flash
7.6%Flash assists
8.72HE damage / grenade
8.73Flashes / 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 12.9987% — below the 15% mark we flag

    Aim Training
  2. 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 35.933% — below the 40% mark we flag

Spend your practice time on Mirage

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

30% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0511%11 Jun
cache13–30.1118%10 Jun
ancient13–70.0116%10 Jun
nuke13–10-0.019%9 Jun
mirage11–13-0.029%1 Jun
mirage7–13-0.0413%29 May
inferno11–13-0.0411%29 May
mirage10–13-0.0511%26 May
mirage13–16-0.056%23 May
anubis13–11-0.023%21 May
mirage13–00.0217%19 May
cache11–130.0417%13 May
dust213–10.0536%12 May
mirage13–20.0613%11 May
dust210–13-0.0513%10 May
nuke13–10-0.059%7 May
mirage9–13-0.108%5 May
cache13–70.1517%5 May
mirage5–13-0.045%4 May
anubis13–11-0.0023%3 May
cache13–60.0118%1 May
ancient14–160.0316%1 May
dust210–13-0.087%29 Apr
mirage13–60.0214%28 Apr
mirage13–11-0.0510%28 Apr
dust25–13-0.0917%28 Apr
inferno11–130.0417%27 Apr
dust213–70.0513%26 Apr
inferno7–13-0.0712%23 Apr
train12–120.0216%22 Apr
mirage5–13-0.0816%22 Apr
inferno7–13-0.0227%19 Apr
anubis13–2-0.0317%19 Apr
ancient16–120.0718%18 Apr
dust213–7-0.0026%18 Apr
ancient13–9-0.0115%17 Apr
dust213–70.027%13 Apr
ancient13–100.047%13 Apr
anubis19–17-0.0515%10 Apr
anubis13–7-0.0212%9 Apr
dust25–13-0.0311%7 Apr
ancient10–130.0311%6 Apr
inferno13–8-0.0313%6 Apr
inferno10–13-0.018%4 Apr
anubis7–13-0.0314%4 Apr
dust26–13-0.0115%3 Apr
overpass13–110.0318%1 Apr
overpass13–3-0.0619%31 Mar
mirage6–13-0.056%30 Mar
dust23–13-0.0619%30 Mar
mirage13–9-0.018%29 Mar
overpass11–130.0517%28 Mar
ancient13–11-0.0219%28 Mar
ancient13–11-0.069%28 Mar
nuke9–130.0119%24 Mar
nuke8–13-0.0110%23 Mar
mirage7–13-0.057%22 Mar
anubis13–100.0514%22 Mar
ancient11–13-0.0115%19 Mar
dust213–110.0120%15 Mar
dust216–13-0.027%15 Mar
overpass9–13-0.0419%1 Feb
dust210–13-0.0339%5 Jan
mirage13–110.029%26 Dec
nuke16–130.0821%15 Dec
ancient10–13-0.0123%18 Nov
inferno13–40.0416%18 Nov
inferno16–14-0.0116%13 Nov
inferno13–11-0.018%27 Oct
nuke13–20.0111%29 Sept
dust216–130.056%26 Sept
mirage8–130.0319%13 Sept
ancient16–140.009%10 Sept
ancient6–13-0.0318%8 Sept
nuke4–13-0.043%7 Sept
ancient13–4-0.0313%6 Sept
overpass16–190.0012%4 Sept
dust213–110.0312%28 Aug
mirage8–130.019%28 Aug
dust213–100.0518%22 Aug
mirage4–13-0.0516%12 Aug
inferno13–40.0113%7 Aug
overpass12–16-0.0110%4 Aug
ancient9–130.0511%4 Aug
mirage11–13-0.0418%28 Jul
nuke13–9-0.0413%26 Jul
mirage16–12-0.0216%23 Jul
dust24–13-0.0418%17 Mar
mirage7–13-0.0216%3 Mar
anubis5–13-0.0112%24 Feb
ancient13–110.0010%24 Feb
ancient3–13-0.094%17 Feb
dust211–13-0.0510%13 Feb
ancient13–70.0017%12 Feb
nuke6–13-0.057%24 Jan
mirage14–16-0.0514%18 Jan
mirage11–13-0.0516%17 Jan
dust213–80.0113%14 Jan
anubis13–60.0715%13 Jan
ancient7–13-0.0112%9 Jan

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 →