Agent1037 — CS2 Stats

76561198837073546[U:1:876807818]

937Tracked matches43%Win rate2021Tracked since
CSDB Rating3.1 Learning
WingmanGold Nova II
Ladder ranks via Leetify

Performance scores

Aim27
Positioning50
Utility58

0–100 skill scores via Leetify.

Recent form

COLD35578Last 10035%Win rateLWWTLLWLLL

Last 10 vs previous 10: -50pp win rate · -0.07 avg rating

Player DNA

Aim2.7
Aggression2.6
Utility5.8
Positioning5.0
Opening Duels0.0
Clutch2.6

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 75% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 636ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim2.7
Positioning5.0
Utility5.8
Mechanics3.0
Opening Duels0.2
Win Impact2.8

Composite 3.1/10 (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-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time626ms−48ms
first ⅓ avg 674ms → last ⅓ avg 626ms
Headshot accuracy12.8%+0.9%
first ⅓ avg 11.9% → last ⅓ avg 12.8%

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

0.16Best rating — inferno 9–2
132Biggest win — dust2
6Longest win streak
313In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 57% over 7ancientWeakest map · 30% over 23
MapGradePlayedRecordWin rateAvg rating
dust2C32141844%-0.02
ancientD2371630%-0.03
infernoD2271532%-0.06
anubisA74357%-0.02
vertigo4040%-0.07
poseidon42250%-0.08
cache31233%-0.01
nuke2020%-0.04
mirage2020%-0.04
debris1010%-0.11

Across the last 100 tracked matches.

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

Faceit stats

Combat

141Matches
45%Win rate
0.65Avg K/D
59.0ADR
34%Headshot %

Clutches & streaks

33%1v1 clutch win
15%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust25954%0.7111.7
Ancient4144%0.6510.7
Inferno1937%0.528.4
Anubis1729%0.6310.3
Overpass367%0.599.0
Mirage10%0.428.0
Vertigo10%0.428.0

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.

12.8%Headshot accuracy
30.3%Accuracy (enemy spotted)
32.3%Spray accuracy
63.3%Counter-strafing
12.6°Preaim
636msReaction time
31.7%T opening success
23.4%CT opening success
0.61Enemies flashed / flash
6.6%Flash assists
11.30HE damage / grenade
13.96Flashes / 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 12.6423° — 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 12.8238% — below the 15% mark we flag

    Aim Training
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.

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo11–13-0.056%27 Aug
dust213–110.0218%27 Aug
dust213–5-0.0218%25 Aug
inferno8–8-0.1322%23 Aug
inferno0–9-0.2514%23 Aug
debris2–9-0.110%23 Aug
dust213–10-0.0318%23 Aug
ancient7–13-0.0415%20 Aug
dust22–13-0.0314%18 Aug
inferno7–13-0.0716%13 Aug
ancient9–130.069%11 Aug
dust213–8-0.0614%10 Aug
anubis13–4-0.0423%7 Aug
ancient13–5-0.0212%7 Aug
ancient13–80.054%6 Aug
inferno13–10-0.0510%4 Aug
dust213–40.1015%3 Aug
inferno8–13-0.085%3 Aug
dust213–50.057%2 Aug
ancient13–60.0117%2 Aug
dust214–16-0.0420%2 Aug
dust211–13-0.0218%31 Jul
ancient17–19-0.0514%30 Jul
ancient13–8-0.0113%28 Jul
dust222–25-0.0415%27 Jul
anubis11–13-0.0117%23 Jul
ancient9–13-0.0311%23 Jul
anubis13–16-0.065%21 Jul
ancient11–13-0.0612%17 Jul
inferno6–13-0.0518%16 Jul
ancient9–13-0.0412%16 Jul
ancient16–13-0.064%14 Jul
dust23–13-0.078%14 Jul
inferno13–4-0.055%13 Jul
cache11–130.0515%10 Jul
dust210–2-0.018%9 Jul
dust213–70.0516%9 Jul
dust28–130.0021%9 Jul
dust29–130.0413%9 Jul
inferno13–8-0.0516%2 Jul
anubis13–6-0.094%1 Jul
dust213–7-0.0221%1 Jul
ancient6–13-0.0413%1 Jul
ancient9–13-0.077%1 Jul
inferno13–16-0.0921%1 Jul
dust20–20.000%1 Jul
dust212–160.0116%25 Jun
ancient3–13-0.0516%25 Jun
dust211–13-0.0617%25 Jun
inferno13–90.069%23 Jun
poseidon9–7-0.0531%19 Jun
poseidon9–6-0.0455%19 Jun
vertigo8–8-0.0419%19 Jun
inferno7–9-0.0910%19 Jun
dust24–13-0.063%19 Jun
inferno8–80.0524%18 Jun
nuke8–80.0114%18 Jun
vertigo8–8-0.0418%17 Jun
inferno1–9-0.1214%17 Jun
inferno9–20.1621%17 Jun
inferno13–6-0.083%17 Jun
ancient13–80.0315%17 Jun
ancient6–13-0.0216%16 Jun
dust210–13-0.059%16 Jun
dust25–13-0.095%16 Jun
inferno2–13-0.0617%12 Jun
ancient3–13-0.1011%12 Jun
ancient7–13-0.038%12 Jun
inferno3–9-0.240%12 Jun
inferno6–9-0.0513%12 Jun
poseidon8–8-0.0617%12 Jun
dust213–4-0.0212%12 Jun
dust27–13-0.0811%12 Jun
poseidon8–8-0.149%12 Jun
inferno11–13-0.055%11 Jun
inferno7–130.0216%11 Jun
anubis10–00.089%11 Jun
vertigo5–9-0.1723%10 Jun
inferno9–6-0.1026%10 Jun
anubis11–13-0.0616%27 May
dust213–40.0114%26 May
dust212–12-0.034%24 May
anubis13–50.014%24 May
ancient12–16-0.069%21 May
dust213–11-0.0318%21 May
ancient16–13-0.063%14 May
inferno6–13-0.048%14 May
ancient8–13-0.079%14 May
ancient10–13-0.0311%14 May
dust213–5-0.0110%14 May
mirage9–13-0.0110%12 May
dust213–2-0.050%12 May
nuke4–13-0.0819%11 May
cache13–7-0.058%11 May
dust211–130.0317%11 May
mirage6–13-0.0628%6 May
cache7–13-0.055%6 May
ancient6–13-0.0412%6 May
dust23–13-0.0931%6 May
dust29–130.0312%30 Apr

Match data via Leetify.

Recent teammates

Milestones

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