schewbear — CS2 Stats

76561198054035594[U:1:93769866]✓ No bans

1,203Tracked matches54%Win rate2020Tracked since
CSDB Rating2.4 Learning
WingmanGold Nova III
Ladder ranks via Leetify

Performance scores

Aim17
Positioning39
Utility28

0–100 skill scores via Leetify.

Recent form

COLD444412Last 10044%Win rateWLLLWLLWLL

Last 10 vs previous 10: -40pp win rate · +0.00 avg rating

Player DNA

Aim1.7
Aggression5.3
Utility2.8
Positioning3.9
Opening Duels1.0
Clutch3.8

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

NiKo

Plays most like NiKo 70% 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. 616ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim1.7
Positioning3.9
Utility2.8
Mechanics1.4
Opening Duels1.2
Win Impact6.3

Composite 2.4/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time633ms−23ms
first ⅓ avg 655ms → last ⅓ avg 633ms
Headshot accuracy14.3%+2.9%
first ⅓ avg 11.4% → last ⅓ avg 14.3%

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

0.27Best rating — nuke 9–3
130Biggest win — mirage
7Longest win streak
85In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 56% over 9ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C27121544%-0.02
nukeC1771041%-0.01
infernoC125742%0.00
mirageC114736%-0.04
cacheA95456%-0.03
officeB63350%-0.01
ancientD51420%-0.04
poseidon31233%0.01
anubis32167%0.03
vertigo21150%-0.05
overpass220100%0.02
debris21150%0.01
train1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

65Matches
48%Win rate
0.98Avg K/D
82.2ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
7%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust23266%1.0516.1
Nuke1020%0.7412.4
Mirage1040%0.8414.1
Inferno617%0.8116.7
Ancient367%1.0515.7
Anubis20%0.6212.0
Train10%1.0716.0
Overpass1100%4.004.0

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.

14.4%Headshot accuracy
28.0%Accuracy (enemy spotted)
30.0%Spray accuracy
56.2%Counter-strafing
14.6°Preaim
616msReaction time
28.3%T opening success
39.3%CT opening success
0.46Enemies flashed / flash
0.4%Flash assists
6.66HE damage / grenade
2.75Flashes / 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 14.6446° — above the 12° mark we flag

    Aim Training
  2. 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 14.3983% — below the 15% mark we flag

    Aim Training
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4563 — below the 0.5 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–00.013%28 Aug
mirage8–13-0.0412%23 Aug
mirage9–13-0.0011%21 Aug
nuke1–3-0.0933%21 Aug
mirage13–5-0.0719%21 Aug
cache9–13-0.0322%15 Aug
nuke11–130.0019%14 Aug
dust213–6-0.0319%14 Aug
mirage11–130.0313%14 Aug
cache7–13-0.0819%11 Aug
mirage4–13-0.0910%6 Aug
vertigo13–11-0.0813%3 Aug
nuke12–12-0.0412%1 Aug
dust213–6-0.0213%1 Aug
dust28–13-0.025%1 Aug
nuke13–11-0.0413%1 Aug
dust213–20.0223%1 Aug
poseidon9–7-0.035%1 Aug
nuke9–20.0310%1 Aug
dust213–6-0.0321%1 Aug
office13–9-0.0216%1 Aug
cache13–40.0022%30 Jul
ancient9–13-0.048%29 Jul
overpass13–2-0.108%27 Jul
inferno9–70.045%26 Jul
debris9–60.0614%26 Jul
inferno15–15-0.0222%25 Jul
nuke12–12-0.027%25 Jul
anubis13–20.0513%24 Jul
dust212–12-0.0313%24 Jul
debris7–9-0.0426%24 Jul
vertigo10–13-0.0313%23 Jul
ancient5–13-0.109%20 Jul
inferno13–40.0622%17 Jul
mirage13–7-0.0411%17 Jul
dust28–13-0.0318%17 Jul
nuke1–13-0.128%16 Jul
dust210–13-0.0915%15 Jul
cache13–10-0.079%15 Jul
mirage5–13-0.0621%13 Jul
nuke13–5-0.0222%13 Jul
office10–13-0.0210%13 Jul
anubis10–13-0.0211%12 Jul
cache13–6-0.0610%11 Jul
mirage13–60.0319%11 Jul
inferno11–10.0516%11 Jul
dust210–3-0.035%11 Jul
dust213–10-0.0514%6 Jul
inferno10–13-0.0312%6 Jul
dust213–110.049%6 Jul
nuke9–6-0.0122%5 Jul
cache4–130.0315%5 Jul
ancient12–12-0.0310%4 Jul
inferno5–13-0.047%4 Jul
dust212–12-0.0017%3 Jul
cache8–130.0414%3 Jul
dust26–13-0.029%3 Jul
mirage9–13-0.0917%3 Jul
inferno9–70.0314%3 Jul
ancient13–20.0121%2 Jul
dust213–11-0.0520%2 Jul
poseidon8–80.039%2 Jul
inferno8–80.0814%2 Jul
nuke7–9-0.0432%2 Jul
dust213–60.1116%2 Jul
train7–13-0.0229%30 Jun
inferno10–13-0.0625%29 Jun
cache10–7-0.0713%29 Jun
nuke6–90.0213%29 Jun
poseidon5–90.0310%29 Jun
nuke9–30.2718%29 Jun
office13–100.0113%28 Jun
ancient2–13-0.0610%28 Jun
dust27–130.0111%28 Jun
nuke7–13-0.049%28 Jun
dust210–13-0.076%27 Jun
mirage12–12-0.0813%27 Jun
dust212–12-0.0810%26 Jun
dust213–50.119%26 Jun
dust213–11-0.0420%25 Jun
office1–10-0.047%25 Jun
office3–13-0.0713%23 Jun
dust210–13-0.0514%23 Jun
inferno13–9-0.065%21 Jun
nuke12–12-0.0715%21 Jun
office13–90.0615%21 Jun
nuke7–13-0.0111%21 Jun
inferno9–13-0.0017%21 Jun
cache7–3-0.037%21 Jun
dust213–80.0512%21 Jun
dust212–120.0213%20 Jun
nuke13–90.0311%20 Jun
dust25–13-0.083%20 Jun
dust210–13-0.0217%15 Jun
nuke13–7-0.0213%15 Jun
dust29–13-0.0117%13 Jun
dust29–13-0.0410%13 Jun
anubis13–60.0714%12 Jun
overpass9–40.149%6 Jun
inferno6–9-0.020%6 Jun

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 →