Alfa 187

Alfa 187 — CS2 Stats

76561198001530617[U:1:41264889]Steam profile ↗✓ No bans

1,451Tracked matches56%Win rate2020Tracked since
2,400Hours in CS10Hrs last 2 wks
CSDB Rating4.4 DevelopingClutch Specialist
Premier CS Rating13,132Blue band · top ~38.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (3 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 38 days played since 2 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 13,132 +1,445 2 Jun17 Sept · 29 days played
9,10913,132peak 13,1322 Jun17 Sept
13,132Peak Premier in tracked matches
38Days played since 2026-06-02

Premier CS Rating

  • At peak — 13,132
  • +2,384 over 30 days · improving
  • +1,497 over 90 days
  • Next: Purple band at 15,000 1,868 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light Blue band first seen 2026-08-30

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 Blue band among CSDB-tracked players (n=20,242), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate37.1%41.9%44.3%7.2% short
Shot accuracy14.2%9.6%11.8%above
Kill/death ratio0.870.981.030.16 short
Match win rate41.0%43.8%45.2%4.2% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGAlfa 187PREMIER13,132 · Blue bandcsdb.gg/stats

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Performance scores

Aim45
Positioning56
Utility40

0–100 skill scores via Leetify.

Recent form

HOT44497Last 10044%Win rateWLWWWTWLWW

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −2.7pp headshot accuracy · +51ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 526ms

Last 10

  • 721 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 592ms

Last 20

  • 1172 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 567ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+1.2 against its own average).

Aim4.5
Utility4.0
Positioning5.6
Opening Duels3.7
Clutch6.0

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 73% playstyle similarity

Most alike: positioning profile, 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. 571ms 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

Aim4.5
Positioning5.6
Utility4.0
Mechanics3.4
Opening Duels3.6
Win Impact6.9

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time568ms+3ms
first ⅓ avg 566ms → last ⅓ avg 568ms
Headshot accuracy13.0%−0.3%
first ⅓ avg 13.3% → last ⅓ avg 13.0%

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 · 13–8 · nuke, 4 Sept
26%Best headshot accuracy · 13–5 · inferno, 4 Sept
422msFastest reaction time · 5–13 · ancient, 24 Aug
13–2Biggest win · ancient, 2 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
710In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 63% over 16dust2Weakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
nukeA1710759%-0.01
mirageC1771041%-0.00
ancientA1610663%-0.01
dust2D1531220%-0.03
infernoB136746%-0.01
cacheD123925%-0.01
anubisD62433%-0.04
poseidon1010%0.02
vertigo110100%0.02
fachwerk110100%-0.09
overpass110100%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,924Lifetime kills
0.87K/D
3,469Matches
41.0%Match win rate
37.1%Headshot %
14.2%Shot accuracy · Top 25% of Blue band
7,165MVPs
1,431Hours (in match)
2,718Bombs planted
604Bombs defused

Most-used weapons

AK-4712,507
P907,849
AWP5,534
MAC-101,786
P2501,375
MP91,307

Lifetime map wins

6,038inferno
4,930nuke
3,057dust2
2,320train
1,686vertigo
1,445cbble
101dust
75lake

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

Faceit stats

Combat

88Matches
59%Win rate
0.90Avg K/D
75.9ADR
37%Headshot %

Clutches & streaks

50%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke1471%0.8512.4
Ancient1145%0.8013.8
Inferno1182%0.8719.3
Dust2757%0.8213.7
Anubis757%1.0418.4
Mirage650%0.8014.0
Train450%1.2619.5
Vertigo1100%1.1218.0

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
35.5%Accuracy (enemy spotted)
36.6%Spray accuracy
65.2%Counter-strafing
12.7°Preaim
571msReaction time
41.6%T opening success
47.3%CT opening success
0.34Enemies flashed / flash
4.0%Flash assists
5.88HE damage / grenade
11.04Flashes / 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 12.6854° — 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 12.7976% — 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 0.3351 — below the 0.5 mark we flag

    Grenade Lineups
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.

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke16–14-0.082%17 Sept
cache9–13-0.126%17 Sept
mirage13–50.0617%17 Sept
inferno13–90.018%17 Sept
ancient13–70.0210%17 Sept
cache15–150.019%17 Sept
cache13–11-0.0217%13 Sept
poseidon6–90.0211%13 Sept
nuke13–9-0.0315%11 Sept
anubis13–9-0.0111%11 Sept
dust29–13-0.0515%11 Sept
mirage4–13-0.059%11 Sept
anubis13–11-0.0415%11 Sept
nuke13–80.1316%4 Sept
inferno13–50.0526%4 Sept
dust215–15-0.0514%3 Sept
cache13–3-0.0011%26 Aug
ancient9–13-0.0211%25 Aug
ancient5–13-0.058%24 Aug
dust26–13-0.047%23 Aug
dust25–13-0.0414%23 Aug
ancient13–7-0.0420%22 Aug
dust210–13-0.038%19 Aug
ancient13–4-0.058%19 Aug
dust215–15-0.0616%19 Aug
mirage13–40.0114%19 Aug
mirage5–13-0.0817%18 Aug
mirage14–160.0317%17 Aug
mirage3–13-0.0610%9 Aug
nuke13–40.1016%9 Aug
cache4–13-0.0619%9 Aug
nuke9–40.0116%9 Aug
ancient9–13-0.0013%6 Aug
mirage13–60.0011%6 Aug
inferno13–5-0.029%6 Aug
anubis8–13-0.045%5 Aug
vertigo13–100.029%5 Aug
mirage13–3-0.008%5 Aug
dust216–140.0313%5 Aug
mirage13–90.0220%5 Aug
nuke15–150.0610%3 Aug
cache13–11-0.0511%3 Aug
dust213–60.0518%2 Aug
ancient13–20.0616%2 Aug
inferno13–60.009%29 Jul
nuke13–6-0.0515%29 Jul
mirage7–130.065%29 Jul
inferno6–10.0210%29 Jul
ancient16–13-0.069%29 Jul
mirage9–2-0.0511%29 Jul
inferno12–16-0.0011%29 Jul
cache10–13-0.0011%28 Jul
nuke1–13-0.1011%28 Jul
mirage15–15-0.0313%27 Jul
nuke11–13-0.038%27 Jul
ancient11–13-0.029%27 Jul
inferno11–13-0.0311%24 Jul
anubis14–16-0.019%23 Jul
ancient13–80.0416%22 Jul
dust213–3-0.0219%22 Jul
cache11–130.0713%22 Jul
nuke13–110.0411%22 Jul
nuke16–13-0.0611%22 Jul
cache5–13-0.046%22 Jul
mirage3–13-0.072%22 Jul
anubis4–13-0.0413%21 Jul
cache8–13-0.007%21 Jul
ancient13–50.0214%21 Jul
fachwerk13–10-0.0910%21 Jul
nuke13–90.0215%21 Jul
mirage13–70.1219%20 Jul
cache5–130.0212%9 Jul
ancient13–90.039%9 Jul
cache15–150.016%9 Jul
dust25–13-0.0322%9 Jul
nuke5–13-0.037%5 Jul
dust27–13-0.0416%5 Jul
mirage11–13-0.0510%5 Jul
nuke4–13-0.0323%5 Jul
dust28–13-0.0718%29 Jun
ancient4–130.017%29 Jun
mirage10–130.0222%28 Jun
nuke15–15-0.0717%28 Jun
dust26–13-0.0310%25 Jun
inferno11–130.0213%25 Jun
inferno16–130.0211%24 Jun
inferno11–13-0.0525%24 Jun
ancient11–130.0114%22 Jun
inferno5–13-0.0813%22 Jun
nuke13–2-0.0721%21 Jun
inferno10–13-0.067%21 Jun
ancient13–8-0.0310%10 Jun
overpass13–7-0.049%10 Jun
mirage6–13-0.0121%7 Jun
ancient13–11-0.039%7 Jun
dust26–11-0.0912%3 Jun
inferno10–130.0116%3 Jun
dust24–13-0.0612%3 Jun
nuke9–13-0.054%2 Jun
anubis3–13-0.123%2 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 →