Alynxele

Alynxele — CS2 Stats

76561199095581143[U:1:1135315415]Steam profile ↗✓ No bans

1,418Tracked matches41%Win rate2020Tracked since
2,164Hours in CS8Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating16,551Purple band · top ~22.2% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,551 -1,583 2 Aug – 29 Sept · 21 days played
15,89918,134peak 18,1342 Aug29 Sept
18,536Peak Premier in tracked matches
34Days played since 2026-08-02

Premier CS Rating

  • 1,583 below peak (18,134)
  • -766 over 30 days · declining
  • Next: Pink band at 20,000 — 3,449 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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 5 among CSDB-tracked players (n=13,934), 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 5 medianLevel 6 medianvs Level 6
Headshot rate48.2%43.7%44.8%above
Shot accuracy13.5%12.0%12.4%above
Kill/death ratio0.681.021.030.35 short
Match win rate40.5%44.7%45.2%4.7% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAlynxeleFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,551 · Purple 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
Positioning55
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY40–56–4Last 10040%Win rateWLLWLLLWLW

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +5.2pp headshot accuracy · −37ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 617ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 581ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 600ms

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 (+1.7 against its own average).

Aim7.5
Utility4.0
Positioning5.5
Opening Duels1.7
Clutch4.0

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

ropz

Plays most like ropz 92% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 593ms 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

Aim7.5
Positioning5.5
Utility4.0
Mechanics8.3
Opening Duels3.6
Win Impact2.1

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time595ms+1ms
first ⅓ avg 595ms → last ⅓ avg 595ms
Headshot accuracy15.0%−1.4%
first ⅓ avg 16.4% → last ⅓ avg 15.0%

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.

Personal bests

0.13Best match rating · 13–2 · mirage, 16 Aug →
31%Best headshot accuracy · 3–13 · mirage, 9 Aug →
375msFastest reaction time · 3–13 · mirage, 9 Aug →
13–1Biggest win · anubis, 20 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 56% over 9dust2Weakest map · 27% over 22
MapGradePlayedRecordWin rateAvg rating
mirageC3011–1937%-0.02
dust2D226–1627%-0.03
infernoC156–940%-0.04
anubisA116–555%-0.00
cacheA95–456%0.01
ancient—43–175%-0.02
boulder—21–150%0.03
train—20–20%-0.04
overpass—20–20%-0.08
nuke—21–150%0.03
office—11–0100%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,670Lifetime kills
0.68K/D
3,479Matches
40.5%Match win rate
48.2%Headshot % · Top 50% of Level 5 players
13.5%Shot accuracy · Top 50% of Level 5 players
4,967MVPs
1,247Hours (in match)
2,602Bombs planted
573Bombs defused

Most-used weapons

Lifetime map wins

3,540inferno
1,985dust2
1,937nuke
1,177vertigo
932train
334cbble
287office
73lake

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

Faceit stats

Combat

92Matches
49%Win rate
0.80Avg K/D
61.0ADR
46%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3155%0.659.8
Inferno1331%0.8112.7
Dust21258%0.7211.7
Anubis850%0.7311.1
Ancient520%0.9614.2
Cache333%0.6511.7
Nuke20%0.6812.0
Vertigo1100%0.8319.0

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.

15.5%Headshot accuracy
36.9%Accuracy (enemy spotted)
37.1%Spray accuracy
87.3%Counter-strafing
9.5°Preaim
593msReaction time
48.5%T opening success
40.3%CT opening success
0.52Enemies flashed / flash
7.2%Flash assists
7.37HE damage / grenade
4.01Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

27% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
boulder13–40.0821%18 Oct →
train4–13-0.029%18 Oct →
overpass6–13-0.0822%18 Oct →
cache13–70.1113%17 Oct →
anubis8–130.0415%17 Oct →
dust21–13-0.095%13 Oct →
cache7–130.0525%13 Oct →
cache13–90.0825%13 Oct →
mirage4–13-0.0719%6 Oct →
anubis13–10-0.0826%6 Oct →
dust23–13-0.0813%6 Oct →
inferno13–7-0.0111%29 Sept →
dust213–60.0116%28 Sept →
nuke9–130.0415%28 Sept →
dust23–13-0.0617%25 Sept →
ancient2–13-0.078%25 Sept →
nuke13–70.019%23 Sept →
ancient13–100.0610%23 Sept →
dust22–13-0.078%22 Sept →
mirage5–13-0.0721%22 Sept →
mirage11–13-0.0618%22 Sept →
dust27–13-0.0110%21 Sept →
dust213–5-0.079%20 Sept →
anubis13–10.0919%20 Sept →
mirage13–60.0014%20 Sept →
mirage14–160.0220%19 Sept →
dust213–6-0.0018%17 Sept →
dust215–150.0519%17 Sept →
mirage8–13-0.0212%17 Sept →
inferno9–13-0.037%17 Sept →
mirage10–13-0.0914%17 Sept →
mirage3–13-0.0619%17 Sept →
anubis14–16-0.027%15 Sept →
dust26–13-0.1014%15 Sept →
inferno13–7-0.0122%15 Sept →
inferno13–110.0019%13 Sept →
dust20–13-0.1014%13 Sept →
dust215–150.0119%13 Sept →
inferno13–11-0.0720%9 Sept →
mirage13–9-0.0315%9 Sept →
cache13–10-0.073%9 Sept →
inferno13–11-0.0514%9 Sept →
anubis8–13-0.0212%9 Sept →
cache5–13-0.0715%8 Sept →
mirage5–130.0320%8 Sept →
dust27–130.0321%8 Sept →
inferno11–13-0.0722%2 Sept →
ancient13–8-0.1214%2 Sept →
mirage2–13-0.1117%1 Sept →
anubis15–15-0.0010%1 Sept →
anubis13–8-0.0021%1 Sept →
mirage11–13-0.0515%1 Sept →
boulder8–13-0.0210%31 Aug →
overpass6–13-0.0815%31 Aug →
anubis13–50.0425%31 Aug →
mirage13–110.0319%31 Aug →
cache13–7-0.0220%31 Aug →
inferno11–13-0.0814%31 Aug →
anubis6–13-0.0211%30 Aug →
mirage13–100.0218%30 Aug →
mirage13–11-0.0124%30 Aug →
inferno5–90.033%29 Aug →
inferno8–8-0.0511%29 Aug →
mirage5–13-0.0511%29 Aug →
inferno11–13-0.0615%28 Aug →
mirage13–10-0.0518%28 Aug →
dust210–13-0.069%24 Aug →
inferno8–13-0.0423%23 Aug →
office13–11-0.088%21 Aug →
inferno1–13-0.0415%21 Aug →
anubis13–5-0.0510%20 Aug →
anubis13–7-0.0214%20 Aug →
mirage4–13-0.0223%20 Aug →
mirage13–11-0.0412%20 Aug →
mirage11–13-0.0516%19 Aug →
dust29–130.0117%19 Aug →
dust29–13-0.0518%19 Aug →
inferno8–13-0.039%19 Aug →
train1–13-0.066%18 Aug →
dust29–13-0.0129%18 Aug →
mirage13–110.0123%18 Aug →
dust24–13-0.0512%17 Aug →
dust213–20.067%17 Aug →
dust27–13-0.0413%17 Aug →
dust213–70.0316%17 Aug →
inferno16–14-0.0214%16 Aug →
mirage13–90.0010%16 Aug →
mirage13–20.1323%16 Aug →
dust216–13-0.0616%10 Aug →
mirage4–13-0.0130%10 Aug →
mirage7–13-0.0410%9 Aug →
mirage3–13-0.0931%9 Aug →
cache5–13-0.0016%9 Aug →
ancient13–50.0518%9 Aug →
cache3–130.0427%9 Aug →
mirage13–100.0124%9 Aug →
mirage8–13-0.0426%2 Aug →
cache13–11-0.0112%2 Aug →
mirage11–13-0.005%2 Aug →
mirage3–13-0.039%2 Aug →

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.