evolveS.

evolveS. — CS2 Stats

HU76561198059972856[U:1:99707128]Steam profile ↗✓ No bans

1,227Tracked matches45%Win rate2020Tracked since
2,835Hours in CS14Hrs last 2 wks
CSDB Rating6.8 SolidPositional Player
Premier CS Rating19,626Top 50% of 215,558 CSDB-tracked playersPurple band · top ~10% of ranked players (population est.)
CSDB Leaderboard#92251 of 261666 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (8 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: 19,626 -5,000 17 Jun – 7 Nov · 23 days played
18,62424,626peak 24,62617 Jun7 Nov
24,626Peak Premier in tracked matches
1,804Highest Faceit ELO seen on CSDB
27Days played since 2026-06-17

Faceit ELO

  • At peak — 1,804
  • Next: Level 10 at 2,001 — 197 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

  • 5,000 below peak (24,626)
  • -374 over 90 days
  • Next: Pink band at 20,000 — 374 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 Purple band among CSDB-tracked players (n=42,517), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate40.9%44.4%46.9%6.1% short
Shot accuracy12.9%11.8%13.0%meets
Kill/death ratio1.221.031.08above
Match win rate49.5%45.3%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGevolveS.PREMIER19,626 · Purple bandPEAK ELO1,804csdb.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

Aim83
Positioning76
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateLWWLLLLWWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −3.6pp headshot accuracy · +23ms 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 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 528ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 517ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 505ms

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 (+1.6 against its own average).

Aim8.3
Utility5.6
Positioning7.6
Opening Duels7.2
Clutch3.6

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 94% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: 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

Strengths

T openings. 73% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 73% on T to 53% on CT — first contacts on the defending side are being lost.

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

Aim8.3
Positioning7.6
Utility5.6
Mechanics5.6
Opening Duels7.9
Win Impact3.3

Composite 6.8/10 (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 rating0.03−0.00
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time524ms−43ms
first ⅓ avg 567ms → last ⅓ avg 524ms
Headshot accuracy23.0%+0.5%
first ⅓ avg 22.6% → last ⅓ avg 23.0%

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

0.17Best match rating · 8–1 · inferno, 20 Jul →
41%Best headshot accuracy · 8–1 · inferno, 20 Jul →
391msFastest reaction time · 13–1 · ancient, 6 Nov →
13–1Biggest win · ancient, 6 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–12In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 57% over 7dust2Weakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC2912–1741%0.02
infernoC2712–1544%0.05
anubisB158–753%0.02
dust2D101–910%0.02
ancientB84–450%0.04
cacheA74–357%-0.00
nuke—42–250%0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,676Lifetime kills
1.22K/D · Top 25% of Purple band
3,696Matches
49.5%Match win rate · Top 25% of Purple band
40.9%Headshot %
12.9%Shot accuracy · Top 50% of Purple band
10,387MVPs
1,576Hours (in match)
3,827Bombs planted
1,013Bombs defused

Most-used weapons

AK-4722,708
AWP14,571
P902,388
P2502,257
FAMAS1,672

Lifetime map wins

18,003dust2
5,636inferno
2,220nuke
859train
525vertigo
237office
224cbble
33italy

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

Faceit stats

Combat

229Matches
56%Win rate
1.22Avg K/D
85.1ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5456%1.2216.7
Dust23855%1.1018.4
Inferno3850%1.2519.9
Ancient2273%1.3517.6
Nuke1669%1.2117.0
Overpass1242%1.3621.2
Vertigo944%1.2520.4
Train786%1.7618.3

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.

23.0%Headshot accuracy
34.4%Accuracy (enemy spotted)
38.9%Spray accuracy
75.1%Counter-strafing
8.0°Preaim
515msReaction time
73.1%T opening success
53.1%CT opening success
0.58Enemies flashed / flash
6.6%Flash assists
9.41HE damage / grenade
5.03Flashes / 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.

10% win rate across 10 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
dust211–130.0230%7 Nov →
cache13–40.0221%6 Nov →
cache13–5-0.0224%6 Nov →
inferno7–13-0.0318%6 Nov →
inferno5–130.0530%6 Nov →
mirage13–160.0319%6 Nov →
inferno11–130.0321%6 Nov →
ancient13–10.1113%6 Nov →
anubis13–110.0414%5 Nov →
cache6–130.0122%5 Nov →
mirage13–80.0327%5 Nov →
dust29–130.0520%5 Nov →
dust213–110.0829%4 Nov →
dust211–130.0332%4 Nov →
inferno8–130.0718%3 Nov →
inferno13–70.1631%3 Nov →
inferno9–130.0327%2 Nov →
inferno15–150.0424%1 Nov →
anubis16–130.0423%1 Nov →
anubis12–16-0.0116%30 Oct →
inferno13–90.1128%30 Oct →
ancient9–130.0313%29 Oct →
anubis13–90.0528%24 Oct →
mirage16–14-0.0119%23 Oct →
inferno13–80.0233%23 Oct →
mirage13–50.0727%15 Oct →
mirage11–130.0420%31 Jul →
mirage6–13-0.0429%31 Jul →
nuke6–130.0119%31 Jul →
dust27–130.0317%30 Jul →
ancient6–13-0.0324%30 Jul →
mirage13–110.0418%30 Jul →
inferno9–130.0526%30 Jul →
inferno5–130.1024%25 Jul →
anubis11–130.0110%25 Jul →
mirage7–13-0.0236%25 Jul →
nuke13–90.0826%25 Jul →
inferno13–30.0716%25 Jul →
mirage13–40.0325%25 Jul →
inferno13–70.0119%25 Jul →
mirage4–13-0.0115%25 Jul →
ancient2–13-0.0121%25 Jul →
mirage8–130.0420%24 Jul →
ancient13–40.1326%24 Jul →
mirage0–13-0.020%24 Jul →
anubis13–4-0.0213%24 Jul →
mirage2–13-0.0619%24 Jul →
inferno13–70.0511%24 Jul →
mirage11–13-0.0115%24 Jul →
dust210–13-0.0419%24 Jul →
inferno11–130.0021%24 Jul →
anubis7–13-0.066%24 Jul →
inferno11–130.0712%24 Jul →
inferno5–130.0326%24 Jul →
mirage10–130.0118%24 Jul →
cache13–10-0.0016%24 Jul →
dust210–130.0526%24 Jul →
anubis13–10-0.0113%24 Jul →
mirage13–50.0315%24 Jul →
mirage5–130.0911%23 Jul →
anubis4–130.0125%23 Jul →
mirage13–90.0929%23 Jul →
cache13–80.0126%22 Jul →
cache9–13-0.0513%22 Jul →
inferno13–70.0519%21 Jul →
anubis15–150.0331%21 Jul →
anubis13–60.1624%21 Jul →
anubis0–13-0.150%21 Jul →
cache10–130.0012%20 Jul →
inferno8–10.1741%20 Jul →
mirage13–30.029%20 Jul →
ancient13–70.0124%20 Jul →
inferno13–80.0613%19 Jul →
ancient13–50.0829%16 Jul →
mirage9–130.0233%16 Jul →
ancient11–130.0319%16 Jul →
dust27–13-0.0129%16 Jul →
mirage3–13-0.0414%16 Jul →
dust28–130.0216%16 Jul →
nuke9–130.1228%16 Jul →
anubis9–130.0315%16 Jul →
mirage13–100.0222%16 Jul →
anubis13–60.1030%16 Jul →
inferno13–40.058%16 Jul →
mirage15–150.0125%11 Jul →
dust28–13-0.0118%11 Jul →
mirage7–10.1417%11 Jul →
anubis13–100.1318%11 Jul →
inferno13–90.0919%11 Jul →
inferno13–40.0233%11 Jul →
inferno11–130.0628%11 Jul →
inferno11–130.0322%10 Jul →
inferno10–130.0134%10 Jul →
mirage16–12-0.0419%10 Jul →
nuke10–20.1337%10 Jul →
mirage9–13-0.0026%9 Jul →
mirage13–10.1131%9 Jul →
mirage1–13-0.0718%9 Jul →
mirage14–160.0828%25 Jun →
inferno10–130.0331%17 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 →

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