popov syn

popov syn — CS2 Stats

SK76561198401388941[U:1:441123213]Steam profile ↗✓ No bans

997Tracked matches53%Win rate2020Tracked since
2,271Hours in CS24Hrs last 2 wks
CSDB Rating5.8 SolidClutch Specialist
Premier CS Rating17,878Purple band · top ~16.9% of ranked players (population est.)
FaceitLevel 9 · 1,473 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

+490Premier CS Rating · 17,388 → 17,878

Rating over time

Premier CS Rating: 17,878 -244 28 Aug – 14 Nov · 37 days played
15,94719,036peak 19,03628 Aug14 Nov
19,153Peak Premier in tracked matches
1,473Highest Faceit ELO seen on CSDB
42Days played since 2026-08-28

Faceit ELO

  • At peak — 1,473
  • Next: Level 8 at 1,531 — 58 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 1,158 below peak (19,036)
  • +1,184 over 30 days · improving
  • -244 over 90 days
  • Next: Pink band at 20,000 — 2,122 to go
  • Reached: 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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate36.1%48.2%50.9%14.8% short
Shot accuracy13.2%13.2%13.7%0.5% short
Kill/death ratio0.961.071.090.13 short
Match win rate46.8%46.9%48.4%1.6% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpopov synFACEITLevel 9 · 1,473 ELOSTANDINGTop 20.7% of rankedPREMIER17,878 · Purple bandPEAK ELO1,473csdb.gg/stats

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Performance scores

Aim71
Positioning53
Utility50

0–100 skill scores via Leetify.

Recent form

HOT51–49Last 10051%Win rateLLWWWWWWWL

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · −4.1pp headshot accuracy · −37ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 14%
  • Avg reaction 545ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 526ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 544ms

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 Specialist — Late-round 1vX conversion stands above the rest of this profile (+0.9 against its own average).

Aim7.1
Utility5.0
Positioning5.3
Opening Duels2.8
Clutch5.6

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

Twistzz

Plays most like Twistzz 95% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

Reaction time. 550ms 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

Aim7.1
Positioning5.3
Utility5.0
Mechanics5.0
Opening Duels4.8
Win Impact6.1

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 rating0.02+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time556ms+19ms
first ⅓ avg 537ms → last ⅓ avg 556ms
Headshot accuracy16.3%+1.0%
first ⅓ avg 15.4% → last ⅓ avg 16.3%

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 · 13–6 · dust2, 3 Nov →
30%Best headshot accuracy · 13–0 · inferno, 2 Nov →
414msFastest reaction time · 0–9 · inferno, 8 Oct →
13–0Biggest win · inferno, 2 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
9–11In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 82% over 11cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A2414–1058%0.01
mirageC188–1044%0.01
infernoB136–746%0.01
ancientC125–742%0.00
nukeC125–742%-0.01
anubisS119–282%0.01
cacheD93–633%0.02
overpass—11–0100%-0.07

Across the last 100 tracked matches.

Lifetime stats

62,782Lifetime kills
0.96K/D
3,450Matches
46.8%Match win rate
36.1%Headshot %
13.2%Shot accuracy
8,961MVPs
1,390Hours (in match)
3,545Bombs planted
1,099Bombs defused

Most-used weapons

AK-4721,970
AWP5,703
FAMAS1,998
AUG1,848
SG 5531,565
MP91,564

Lifetime map wins

5,631dust2
4,513inferno
2,267nuke
1,019vertigo
996cbble
498train
141lake
136office

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

Faceit stats

Combat

364Matches
54%Win rate
1.19Avg K/D
90.9ADR
35%Headshot %

Clutches & streaks

48%1v1 clutch win
27%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4060%1.3417.8
Dust23474%1.7919.4
Anubis1638%1.3319.0
Nuke1362%1.3619.1
Inferno862%1.4218.9
Ancient757%0.9814.4
Cache475%1.4617.5
Train1100%1.2012.0

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.

16.4%Headshot accuracy
34.2%Accuracy (enemy spotted)
33.9%Spray accuracy
72.3%Counter-strafing
7.2°Preaim
550msReaction time
51.6%T opening success
46.8%CT opening success
0.51Enemies flashed / flash
4.6%Flash assists
9.10HE damage / grenade
6.36Flashes / match

Recommended for you

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage7–130.0119%14 Nov →
inferno9–130.0819%14 Nov →
mirage13–60.056%14 Nov →
anubis13–70.049%14 Nov →
ancient13–80.0415%14 Nov →
mirage13–6-0.015%14 Nov →
mirage6–1-0.030%10 Nov →
dust213–4-0.0011%9 Nov →
inferno13–50.0820%9 Nov →
cache11–130.0114%7 Nov →
ancient13–20.0618%7 Nov →
cache13–80.0711%7 Nov →
cache6–13-0.0229%7 Nov →
nuke3–13-0.0117%6 Nov →
ancient1–13-0.0617%5 Nov →
dust213–110.0224%5 Nov →
inferno7–130.109%5 Nov →
nuke2–13-0.0817%4 Nov →
nuke5–13-0.0110%4 Nov →
mirage11–13-0.057%4 Nov →
dust213–60.1226%3 Nov →
mirage13–110.0428%2 Nov →
inferno13–00.0830%2 Nov →
anubis13–80.0722%2 Nov →
ancient4–13-0.0527%31 Oct →
inferno16–14-0.0613%30 Oct →
ancient4–6-0.0713%30 Oct →
inferno13–50.0316%30 Oct →
inferno2–13-0.056%29 Oct →
cache6–13-0.0328%27 Oct →
mirage10–130.0217%26 Oct →
nuke13–60.0918%26 Oct →
mirage13–40.0620%25 Oct →
dust28–130.0415%24 Oct →
dust213–100.0429%24 Oct →
inferno13–10.1025%24 Oct →
inferno16–140.0718%24 Oct →
anubis13–70.0410%24 Oct →
cache6–130.0428%22 Oct →
dust213–110.0329%22 Oct →
mirage13–11-0.0126%21 Oct →
anubis13–40.1013%19 Oct →
dust213–110.0416%19 Oct →
ancient13–90.1016%19 Oct →
ancient10–13-0.0711%19 Oct →
dust213–90.0218%17 Oct →
ancient8–13-0.0319%17 Oct →
ancient11–130.0220%17 Oct →
dust213–60.0123%17 Oct →
dust211–13-0.0814%16 Oct →
mirage14–160.0616%15 Oct →
dust27–130.0410%15 Oct →
cache8–130.0312%15 Oct →
cache13–10.109%15 Oct →
dust28–130.039%15 Oct →
mirage8–13-0.0011%8 Oct →
dust213–80.0217%8 Oct →
anubis10–130.068%8 Oct →
inferno0–9-0.268%8 Oct →
overpass13–7-0.074%5 Oct →
nuke13–3-0.0526%5 Oct →
anubis13–110.006%3 Oct →
inferno10–130.0117%2 Oct →
mirage13–20.094%15 Sept →
nuke10–13-0.0412%14 Sept →
dust213–40.0115%13 Sept →
mirage3–13-0.0312%10 Sept →
anubis3–13-0.1114%8 Sept →
mirage13–8-0.0415%8 Sept →
anubis13–6-0.0215%8 Sept →
dust29–13-0.0013%8 Sept →
mirage1–11-0.0013%7 Sept →
dust211–130.0613%6 Sept →
dust213–8-0.013%6 Sept →
dust25–13-0.0611%6 Sept →
nuke13–100.0510%6 Sept →
mirage0–13-0.1213%6 Sept →
dust24–13-0.0923%5 Sept →
dust25–130.0122%4 Sept →
anubis13–9-0.0218%4 Sept →
dust213–100.0217%3 Sept →
ancient13–110.0416%3 Sept →
anubis13–4-0.018%2 Sept →
dust213–8-0.0220%2 Sept →
anubis13–8-0.0013%1 Sept →
nuke13–40.0216%1 Sept →
dust27–13-0.0313%31 Aug →
ancient13–60.0729%31 Aug →
cache2–130.0113%31 Aug →
ancient11–13-0.0423%31 Aug →
mirage11–130.0911%31 Aug →
nuke6–9-0.0821%30 Aug →
inferno7–90.0129%30 Aug →
inferno3–13-0.058%30 Aug →
cache13–9-0.0318%30 Aug →
nuke14–160.0211%29 Aug →
nuke6–13-0.047%29 Aug →
nuke13–90.0815%29 Aug →
dust216–120.0015%29 Aug →
mirage9–130.0623%28 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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