THE TEAM'S RANK

THE TEAM'S RANK — CS2 Stats

CU76561198360679480[U:1:400413752]Steam profile ↗✓ No bans

1,829Tracked matches54%Win rate2020Tracked since
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating7,989Light Blue band · top ~64.5% of ranked players (population est.)
Ladder ranks via Leetify

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CSDB.GGTHE TEAM'S RANKPREMIER7,989 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning56
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateWWWLLWWWLL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −5.0pp headshot accuracy · −22ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 563ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 591ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 602ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim4.1
Utility4.4
Positioning5.6
Opening Duels3.7

Limited utility dependence

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 46% on CT — first contacts on the defending side are being lost.

Reaction time. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.1
Positioning5.6
Utility4.4
Mechanics3.4
Opening Duels5.8
Win Impact6.2

Composite 4.2/10 (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 time594ms−12ms
first ⅓ avg 606ms → last ⅓ avg 594ms
Headshot accuracy19.2%−4.7%
first ⅓ avg 23.9% → last ⅓ avg 19.2%

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.

Personal bests

0.12Best match rating · 13–8 · ancient, 10 Nov →
41%Best headshot accuracy · 11–13 · dust2, 1 Oct →
430msFastest reaction time · 8–13 · mirage, 25 Oct →
13–1Biggest win · mirage, 7 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
4–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 47% over 17nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%-0.00
mirageB2411–1346%0.00
ancientB178–947%-0.01
infernoC114–736%-0.04
anubisC114–736%0.00
nukeD72–529%0.01
cache—43–175%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
33%Win rate
1.23Avg K/D
—ADR
64%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

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.

20.3%Headshot accuracy
26.5%Accuracy (enemy spotted)
25.5%Spray accuracy
65.3%Counter-strafing
9.6°Preaim
586msReaction time
61.0%T opening success
45.7%CT opening success
0.66Enemies flashed / flash
11.0%Flash assists
10.60HE damage / grenade
3.37Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.3716 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.029%15 Nov →
dust213–40.0524%15 Nov →
inferno13–10-0.0010%14 Nov →
dust22–13-0.0920%14 Nov →
nuke11–13-0.0419%13 Nov →
dust213–80.0530%13 Nov →
dust213–70.0118%13 Nov →
anubis13–90.0218%12 Nov →
anubis2–13-0.067%12 Nov →
dust25–13-0.0727%12 Nov →
dust21–6-0.0518%12 Nov →
inferno6–13-0.1013%12 Nov →
dust215–150.0228%11 Nov →
mirage13–80.0131%11 Nov →
inferno13–8-0.0226%11 Nov →
dust213–100.0718%11 Nov →
ancient13–80.1237%10 Nov →
dust213–60.0913%10 Nov →
ancient13–70.0519%9 Nov →
dust20–13-0.0127%9 Nov →
dust26–13-0.0417%8 Nov →
inferno11–13-0.1013%8 Nov →
mirage13–110.0231%7 Nov →
mirage13–10.0811%7 Nov →
nuke5–13-0.0810%6 Nov →
anubis6–13-0.0217%5 Nov →
dust215–15-0.0426%5 Nov →
dust211–13-0.0523%5 Nov →
dust213–30.0620%4 Nov →
ancient3–13-0.0815%4 Nov →
inferno12–16-0.0416%4 Nov →
mirage13–8-0.0311%4 Nov →
anubis13–100.0613%3 Nov →
cache13–3-0.0027%3 Nov →
ancient14–160.0314%2 Nov →
dust213–16-0.0113%2 Nov →
nuke13–160.0019%2 Nov →
anubis13–60.0420%2 Nov →
mirage13–5-0.0213%2 Nov →
inferno9–130.0220%1 Nov →
ancient11–13-0.0520%1 Nov →
nuke16–140.0114%1 Nov →
cache13–6-0.0116%30 Oct →
inferno13–90.0020%29 Oct →
anubis2–13-0.097%29 Oct →
cache11–13-0.0718%29 Oct →
mirage8–130.0216%25 Oct →
mirage13–50.0925%25 Oct →
ancient15–15-0.0222%25 Oct →
cache13–11-0.056%25 Oct →
mirage3–13-0.0625%25 Oct →
dust27–13-0.0418%25 Oct →
mirage13–16-0.0223%24 Oct →
ancient4–130.0217%24 Oct →
mirage10–13-0.0514%22 Oct →
mirage1–130.0217%22 Oct →
inferno4–13-0.1136%22 Oct →
mirage6–13-0.0115%18 Oct →
dust213–5-0.0229%17 Oct →
ancient13–60.0818%17 Oct →
dust213–60.0723%17 Oct →
mirage6–130.0221%16 Oct →
ancient13–11-0.0413%15 Oct →
dust213–7-0.0533%14 Oct →
dust213–40.0334%14 Oct →
ancient12–16-0.0816%14 Oct →
anubis13–90.1013%13 Oct →
mirage13–90.0718%12 Oct →
ancient4–13-0.0428%11 Oct →
mirage13–10-0.0322%11 Oct →
nuke11–130.0821%11 Oct →
inferno13–30.0827%11 Oct →
dust213–60.0512%11 Oct →
anubis7–13-0.0421%11 Oct →
mirage6–130.0623%11 Oct →
anubis9–13-0.0021%11 Oct →
ancient5–13-0.0412%8 Oct →
ancient13–100.0219%8 Oct →
dust210–13-0.0721%8 Oct →
mirage11–130.0624%6 Oct →
nuke13–60.0118%6 Oct →
ancient9–13-0.0223%6 Oct →
anubis10–13-0.0528%4 Oct →
ancient13–9-0.0116%4 Oct →
ancient13–9-0.0413%4 Oct →
anubis7–130.0921%4 Oct →
ancient16–120.0026%2 Oct →
inferno9–13-0.0723%1 Oct →
dust211–13-0.0341%1 Oct →
inferno5–9-0.1033%30 Sept →
dust26–13-0.0336%30 Sept →
mirage16–130.0024%30 Sept →
mirage5–13-0.1020%29 Sept →
mirage13–7-0.0126%22 Sept →
dust213–70.0238%22 Sept →
nuke12–160.0930%8 Sept →
mirage11–13-0.0120%8 Sept →
dust26–13-0.0433%5 Sept →
mirage7–130.0124%5 Sept →
mirage6–13-0.0727%4 Sept →

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 →

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