flyteam21

flyteam21 — CS2 Stats

SE76561198167657532[U:1:207391804]Steam profile ↗✓ No bans

1,573Tracked matches37%Win rate2020Tracked since
4,080Hours in CS22Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating20,127Top 50% of 211,494 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#80161 of 258486 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+127Premier CS Rating · 20,000 → 20,127

Rating over time

Premier CS Rating: 20,127 -4,673 25 Jul – 29 Oct · 44 days played
20,00024,800peak 24,80025 Jul29 Oct
24,800Peak Premier in tracked matches
45Days played since 2026-07-25

Premier CS Rating

  • 4,673 below peak (24,800)
  • -111 over 30 days · steady
  • -2,536 over 90 days
  • Next: Red band at 25,000 — 4,873 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate46.6%42.7%43.8%above
Shot accuracy9.7%11.2%12.0%2.3% short
Kill/death ratio0.860.991.020.16 short
Match win rate44.3%43.9%44.7%meets

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGflyteam21FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER20,127 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim75
Positioning56
Utility49

0–100 skill scores via Leetify.

Recent form

COLD37–60–3Last 10037%Win rateLLWLLLWLWL

Last 10 vs previous 10: +10pp win rate · +0.06 avg rating · −3.3pp headshot accuracy · −9ms reaction

Win rate +10pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 569ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 555ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 26%
  • Avg reaction 559ms

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 (+1.5 against its own average).

Aim7.5
Utility4.9
Positioning5.6
Opening Duels3.5
Clutch2.2

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

Twistzz

Plays most like Twistzz 96% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

CT openings. Opening success drops from 55% on T to 39% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 66% 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

Aim7.5
Positioning5.6
Utility4.9
Mechanics3.7
Opening Duels4.3
Win Impact0.6

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time556ms−106ms
first ⅓ avg 662ms → last ⅓ avg 556ms
Headshot accuracy22.9%+2.6%
first ⅓ avg 20.3% → last ⅓ avg 22.9%

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

0.15Best match rating · 13–10 · inferno, 26 Jul →
52%Best headshot accuracy · 9–13 · anubis, 21 Oct →
375msFastest reaction time · 8–2 · anubis, 18 Oct →
13–1Biggest win · inferno, 29 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–11In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 50% over 22cacheWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
infernoB2211–1150%-0.00
dust2B168–850%-0.01
cacheD163–1319%-0.01
mirageD154–1127%-0.00
anubisC135–838%-0.01
ancientD92–722%-0.02
nukeC94–544%-0.00

Across the last 100 tracked matches.

Lifetime stats

79,912Lifetime kills
0.86K/D
4,919Matches
44.3%Match win rate · Top 50% of Level 4 players
46.6%Headshot % · Top 50% of Level 4 players
9.7%Shot accuracy
10,634MVPs
2,049Hours (in match)
4,829Bombs planted
1,181Bombs defused

Most-used weapons

AK-4723,759
AWP3,600
P902,874
SG 5532,635
FAMAS2,340

Lifetime map wins

7,756inferno
5,471dust2
4,490nuke
2,419train
1,732vertigo
386lake
361cbble
229safehouse

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

Faceit stats

Combat

437Matches
49%Win rate
0.99Avg K/D
81.7ADR
44%Headshot %

Clutches & streaks

31%1v1 clutch win
26%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage6748%1.0716.3
Inferno6551%1.1615.4
Ancient4058%1.0316.6
Dust22839%1.0116.3
Anubis2357%0.8914.3
Nuke1553%0.9515.4
Train450%2.1214.3
Vertigo367%1.6717.7

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.

22.6%Headshot accuracy
36.5%Accuracy (enemy spotted)
39.0%Spray accuracy
66.5%Counter-strafing
8.9°Preaim
550msReaction time
55.3%T opening success
39.3%CT opening success
0.58Enemies flashed / flash
7.8%Flash assists
9.10HE damage / grenade
3.88Flashes / 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 3.8752 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.3341% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient6–130.0528%29 Oct →
mirage11–13-0.0016%27 Oct →
inferno13–20.0931%27 Oct →
mirage5–130.0635%27 Oct →
ancient5–13-0.0619%26 Oct →
mirage7–130.0036%24 Oct →
dust213–80.0119%24 Oct →
cache11–130.0310%24 Oct →
mirage13–30.1030%24 Oct →
cache4–13-0.0116%24 Oct →
nuke4–13-0.0524%22 Oct →
inferno13–80.0021%22 Oct →
dust24–13-0.0325%22 Oct →
inferno5–13-0.0727%22 Oct →
anubis9–13-0.0452%21 Oct →
inferno5–13-0.0626%21 Oct →
mirage7–13-0.0030%20 Oct →
dust213–80.0229%20 Oct →
dust28–13-0.0916%20 Oct →
ancient11–13-0.0522%19 Oct →
inferno5–130.0323%19 Oct →
cache13–11-0.0412%19 Oct →
inferno10–13-0.0312%19 Oct →
nuke13–5-0.0114%18 Oct →
anubis8–2-0.0333%18 Oct →
dust213–6-0.0419%18 Oct →
inferno13–80.0519%17 Oct →
anubis13–10-0.0413%15 Oct →
anubis9–13-0.0318%14 Oct →
inferno11–13-0.0517%14 Oct →
ancient13–9-0.0526%13 Oct →
mirage9–130.0115%13 Oct →
inferno13–60.0322%13 Oct →
ancient2–13-0.0625%12 Oct →
cache13–9-0.0325%12 Oct →
anubis11–13-0.0528%12 Oct →
anubis13–90.0128%6 Oct →
dust213–100.0621%5 Oct →
inferno13–110.0124%2 Oct →
mirage13–110.0625%2 Oct →
dust25–13-0.0414%29 Sept →
cache11–13-0.0225%25 Sept →
anubis13–11-0.0421%25 Sept →
inferno13–30.0229%17 Sept →
cache13–4-0.0120%14 Sept →
mirage3–13-0.0715%14 Sept →
mirage8–130.0211%13 Sept →
mirage9–130.0218%13 Sept →
anubis13–80.0429%6 Sept →
nuke11–130.0425%30 Aug →
cache7–130.0619%30 Aug →
anubis6–13-0.0415%29 Aug →
cache4–130.0211%29 Aug →
mirage13–16-0.0517%22 Aug →
dust26–130.0335%18 Aug →
dust213–40.0212%17 Aug →
cache3–13-0.0220%17 Aug →
inferno15–15-0.0416%16 Aug →
inferno13–90.0110%12 Aug →
anubis11–130.0620%11 Aug →
inferno7–13-0.0016%8 Aug →
dust213–90.0419%8 Aug →
anubis15–150.0610%8 Aug →
dust216–13-0.0123%7 Aug →
ancient1–13-0.0738%6 Aug →
nuke13–80.0216%6 Aug →
anubis9–13-0.0115%6 Aug →
anubis4–130.0114%4 Aug →
inferno11–13-0.0815%4 Aug →
nuke10–130.0220%4 Aug →
dust29–13-0.0423%4 Aug →
ancient7–13-0.0424%4 Aug →
dust22–13-0.069%4 Aug →
nuke13–11-0.0614%3 Aug →
inferno7–13-0.0526%3 Aug →
mirage13–10-0.0219%2 Aug →
inferno13–90.0120%1 Aug →
dust27–130.0121%1 Aug →
nuke16–130.068%1 Aug →
mirage5–13-0.0419%1 Aug →
mirage13–6-0.0813%31 Jul →
cache6–130.0127%31 Jul →
dust213–90.0515%30 Jul →
dust21–13-0.0623%30 Jul →
inferno13–1-0.0524%29 Jul →
cache8–13-0.0116%29 Jul →
ancient13–60.0831%28 Jul →
nuke7–13-0.019%28 Jul →
cache15–15-0.0618%28 Jul →
inferno8–130.0418%27 Jul →
cache8–13-0.0334%27 Jul →
mirage6–13-0.0818%27 Jul →
nuke8–13-0.0338%27 Jul →
cache1–13-0.0823%26 Jul →
cache11–13-0.0531%26 Jul →
cache11–130.0725%26 Jul →
inferno13–100.1522%26 Jul →
ancient10–13-0.0217%26 Jul →
inferno6–13-0.0516%26 Jul →
inferno13–110.0121%25 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.