Puschkin

Puschkin — CS2 Stats

TM76561198874388056[U:1:914122328]Steam profile ↗✓ No bans

189Tracked matches47%Win rate2020Tracked since
630Hours in CS
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating6,484Light Blue band · top ~71.7% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 189 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 6,484 -64 30 Jul – 19 Oct · 17 days played
5,5377,669peak 7,66930 Jul19 Oct
7,768Peak Premier in tracked matches
34Days played since 2026-06-14

Premier CS Rating

  • 1,185 below peak (7,669)
  • -64 over 90 days
  • Next: Blue band at 10,000 — 3,516 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-10-19

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

Compare periods

Last 30 days vs previous 30

No matches recorded between 19 Oct 2026 and 14 Nov 2026.

Measured 19 Oct 2026 → 14 Nov 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate51.3%39.9%42.0%above
Shot accuracy19.9%7.0%9.6%above
Kill/death ratio1.250.920.98above
Match win rate80.1%42.3%43.8%above

Across every metric we can compare, this profile already matches the typical Blue band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGPuschkinPREMIER6,484 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim54
Positioning54
Utility50

0–100 skill scores via Leetify.

Recent form

COLD40–54–6Last 10040%Win rateWLLWTLLTLL

Last 10 vs previous 10: −30pp win rate · −0.08 avg rating · −3.4pp headshot accuracy · −59ms reaction

Win rate down 30pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 630ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 18%
  • Avg reaction 656ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 685ms

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).

Aim5.4
Utility5.0
Positioning5.4
Opening Duels3.1
Clutch1.8

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

ZywOo

Plays most like ZywOo 80% 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. 678ms 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

Aim5.4
Positioning5.4
Utility5.0
Mechanics6.1
Opening Duels2.9
Win Impact3.9

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.04
first ⅓ avg -0.04 → last ⅓ avg -0.00
Reaction time683ms+30ms
first ⅓ avg 653ms → last ⅓ avg 683ms
Headshot accuracy19.8%+0.2%
first ⅓ avg 19.6% → last ⅓ avg 19.8%

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 · 13–2 · mirage, 2 Aug →
50%Best headshot accuracy · 6–9 · inferno, 20 Jun →
438msFastest reaction time · 13–9 · cache, 3 Oct →
13–0Biggest win · dust2, 30 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 59% over 17ancientWeakest map · 0% over 11
MapGradePlayedRecordWin rateAvg rating
infernoD196–1332%-0.04
mirageA1710–759%0.00
dust2B179–853%0.01
nukeD155–1033%0.01
ancientD110–110%-0.02
cacheC73–443%-0.01
anubisA74–357%0.02
overpass—31–233%-0.07
train—32–167%-0.05
poseidon—10–10%-0.13

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,159Lifetime kills
1.25K/D · Top 10% of Light Blue band
7,302Matches
80.1%Match win rate · Top 1% of Light Blue band
51.3%Headshot % · Top 10% of Light Blue band
19.9%Shot accuracy · Top 5% of Light Blue band
7,114MVPs
630Hours (in match)
1,884Bombs planted
616Bombs defused

Most-used weapons

Lifetime map wins

3,832lake
2,990nuke
1,448dust2
937inferno
480office
403train
167vertigo
125aztec

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

Faceit stats

Combat

19Matches
42%Win rate
0.72Avg K/D
62.9ADR
47%Headshot %

Clutches & streaks

29%1v1 clutch win
36%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno450%0.7011.5
Ancient30%1.0019.3
Mirage333%0.9518.0
Dust220%0.243.5
Anubis1100%0.8822.0

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.

19.8%Headshot accuracy
31.6%Accuracy (enemy spotted)
33.3%Spray accuracy
77.3%Counter-strafing
9.8°Preaim
678msReaction time
40.9%T opening success
42.3%CT opening success
0.59Enemies flashed / flash
4.4%Flash assists
9.04HE damage / grenade
7.85Flashes / match

Recommended for you

Spend your practice time on Ancient

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

0% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–9-0.069%3 Oct →
ancient8–130.0218%3 Oct →
mirage6–13-0.0521%2 Oct →
mirage13–70.0225%2 Oct →
nuke8–8-0.0629%2 Oct →
nuke4–9-0.0716%2 Oct →
nuke5–9-0.1420%2 Oct →
inferno8–8-0.0317%2 Oct →
overpass4–9-0.1614%2 Oct →
inferno2–9-0.167%2 Oct →
nuke13–30.0417%30 Aug →
dust213–00.085%30 Aug →
dust211–130.0122%30 Aug →
inferno14–160.0523%21 Aug →
dust26–13-0.0328%21 Aug →
anubis13–70.0817%20 Aug →
nuke6–13-0.0322%20 Aug →
cache7–13-0.0422%20 Aug →
dust213–7-0.0029%17 Aug →
dust213–7-0.0026%17 Aug →
dust25–13-0.0026%17 Aug →
dust213–70.0130%17 Aug →
mirage13–8-0.0112%16 Aug →
ancient4–130.0111%16 Aug →
dust213–20.0423%16 Aug →
nuke13–70.1123%16 Aug →
anubis13–20.1021%15 Aug →
anubis13–110.1319%15 Aug →
mirage13–110.0415%13 Aug →
ancient7–13-0.0124%13 Aug →
inferno7–130.0312%13 Aug →
ancient8–130.0125%10 Aug →
inferno9–70.0724%9 Aug →
mirage7–130.1118%8 Aug →
mirage7–13-0.0112%8 Aug →
dust214–16-0.0412%8 Aug →
cache10–130.0024%8 Aug →
cache7–13-0.0727%6 Aug →
nuke13–100.0523%6 Aug →
nuke13–40.0720%4 Aug →
dust213–70.0913%4 Aug →
mirage13–20.1519%2 Aug →
inferno9–50.0618%2 Aug →
nuke9–7-0.0718%2 Aug →
nuke8–8-0.0116%2 Aug →
nuke8–80.1219%2 Aug →
nuke7–13-0.0616%1 Aug →
inferno5–90.0217%1 Aug →
inferno9–5-0.0714%1 Aug →
mirage8–130.0027%1 Aug →
mirage13–60.0727%30 Jul →
cache13–50.0415%26 Jul →
mirage13–9-0.0221%26 Jul →
overpass9–50.0933%23 Jul →
inferno5–9-0.0521%23 Jul →
inferno4–9-0.1232%23 Jul →
ancient7–13-0.0711%16 Jul →
anubis10–13-0.0730%16 Jul →
ancient15–15-0.059%16 Jul →
dust216–12-0.0232%15 Jul →
inferno13–9-0.0316%15 Jul →
mirage13–40.0324%15 Jul →
inferno13–10-0.0226%15 Jul →
dust211–13-0.0214%15 Jul →
ancient2–13-0.0228%15 Jul →
dust21–13-0.0124%15 Jul →
cache12–16-0.0118%14 Jul →
nuke5–130.1517%13 Jul →
mirage13–11-0.0336%13 Jul →
mirage13–90.0215%13 Jul →
dust211–13-0.0223%13 Jul →
mirage7–13-0.1112%13 Jul →
cache13–40.0829%10 Jul →
nuke5–130.0313%9 Jul →
ancient8–13-0.0115%9 Jul →
ancient4–13-0.0915%9 Jul →
inferno7–13-0.108%9 Jul →
nuke3–13-0.027%9 Jul →
inferno5–130.0032%9 Jul →
dust213–30.0324%8 Jul →
ancient14–160.0722%8 Jul →
inferno16–19-0.0224%7 Jul →
dust23–13-0.0232%6 Jul →
inferno9–13-0.0728%22 Jun →
mirage8–13-0.0824%22 Jun →
ancient7–13-0.087%22 Jun →
mirage13–8-0.058%21 Jun →
inferno6–9-0.1550%20 Jun →
poseidon2–9-0.1318%20 Jun →
inferno3–9-0.1619%20 Jun →
overpass0–4-0.150%20 Jun →
anubis15–15-0.0712%20 Jun →
train13–4-0.0325%20 Jun →
inferno13–6-0.1014%17 Jun →
train13–60.0217%17 Jun →
train1–13-0.1436%17 Jun →
anubis6–13-0.0215%15 Jun →
mirage8–13-0.0613%15 Jun →
anubis22–20-0.0216%14 Jun →
dust213–50.0121%14 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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