talves

talves — CS2 Stats

PT76561198060930741[U:1:100665013]Steam profile ↗✓ No bans

1,150Tracked matches53%Win rate2020Tracked since
4,641Hours in CS5Hrs last 2 wks
CSDB Rating4.9 DevelopingSupport
FaceitLevel 5 · 1,252 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,252 → 1,252
+8Tracked matches · now 1,150
0.0ppWin rate · 53.3% → 53.3%

Rating over time

Premier CS Rating: 14,999 +486 17 Apr – 4 Jun · 4 days played
14,51014,999peak 14,99917 Apr4 Jun
14,999Peak Premier in tracked matches
1,252Highest Faceit ELO seen on CSDB
55Days played since 2026-02-18

Faceit ELO

  • At peak — 1,252
  • Next: Level 7 at 1,351 — 99 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-09
  • Level 5 first seen 2026-09-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,608), 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 rate38.0%43.8%44.8%6.8% short
Shot accuracy13.6%12.0%12.4%above
Kill/death ratio0.791.021.030.25 short
Match win rate40.3%44.7%45.2%4.9% short

This profile matches the typical Level 6 player on 1 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.GGtalvesFACEITLevel 5 · 1,252 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,252csdb.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

Aim54
Positioning54
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY56–44Last 10056%Win rateWWLLLLWWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +2.5pp headshot accuracy · −35ms reaction

Win rate −10pp 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 -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 569ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 576ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 593ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim5.4
Utility6.8
Positioning5.4
Opening Duels3.8
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 73% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 585ms 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
Utility6.8
Mechanics5.1
Opening Duels3.2
Win Impact6.1

Composite 4.9/10 (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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time583ms−76ms
first ⅓ avg 659ms → last ⅓ avg 583ms
Headshot accuracy18.0%+2.0%
first ⅓ avg 16.0% → last ⅓ avg 18.0%

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

0.19Best match rating · 13–1 · anubis, 25 Mar →
32%Best headshot accuracy · 13–10 · inferno, 27 May →
422msFastest reaction time · 6–13 · nuke, 27 Jul →
13–1Biggest win · anubis, 25 Mar →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
13–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 80% over 5anubisWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A2615–1158%-0.00
anubisC166–1038%0.01
ancientS1310–377%-0.01
cacheB137–654%-0.01
infernoC104–640%-0.01
nukeS97–278%0.01
mirageC83–538%-0.03
overpassS54–180%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

87,220Lifetime kills
0.79K/D
5,406Matches
40.3%Match win rate
38.0%Headshot %
13.6%Shot accuracy · Top 50% of Level 5 players
8,281MVPs
2,446Hours (in match)
4,406Bombs planted
1,317Bombs defused

Most-used weapons

AK-4725,891
AWP13,637
FAMAS1,693
MAC-101,659
P2501,656

Lifetime map wins

22,148dust2
7,736inferno
2,032vertigo
1,218nuke
672train
227cbble
34ar_shoots
25safehouse

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

Faceit stats

Combat

616Matches
50%Win rate
1.02Avg K/D
74.3ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust213750%1.0114.9
Mirage7943%1.0515.3
Ancient7957%1.0315.3
Inferno6837%1.1214.2
Anubis6850%1.0614.4
Nuke3047%0.9815.1
Cache2450%0.9013.5
Overpass1050%1.2313.7

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.

18.0%Headshot accuracy
32.5%Accuracy (enemy spotted)
34.4%Spray accuracy
72.7%Counter-strafing
11.5°Preaim
585msReaction time
39.6%T opening success
46.2%CT opening success
0.56Enemies flashed / flash
7.7%Flash assists
9.63HE damage / grenade
14.57Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 39.6297% — below the 40% mark we flag

Spend your practice time on Anubis

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–3-0.0213%10 Sept →
mirage13–9-0.0327%25 Aug →
inferno9–130.0614%25 Aug →
ancient5–13-0.0813%24 Aug →
inferno10–130.0420%13 Aug →
dust23–13-0.0417%2 Aug →
anubis13–100.0628%30 Jul →
ancient13–110.0311%30 Jul →
cache10–13-0.0416%28 Jul →
nuke6–13-0.0225%27 Jul →
dust24–13-0.1118%26 Jul →
dust213–90.0216%20 Jul →
cache13–30.1417%20 Jul →
ancient10–13-0.0018%17 Jul →
cache9–130.0011%15 Jul →
dust213–100.0724%9 Jul →
overpass13–70.0813%8 Jul →
mirage8–13-0.0310%8 Jul →
anubis5–13-0.0117%25 Jun →
dust213–9-0.0615%5 Jun →
nuke13–110.0311%4 Jun →
dust213–40.0917%4 Jun →
dust24–13-0.0416%3 Jun →
inferno16–130.0326%3 Jun →
nuke13–11-0.0218%1 Jun →
inferno13–10-0.0532%27 May →
dust211–13-0.0617%25 May →
dust213–100.0321%22 May →
cache13–5-0.0220%22 May →
anubis8–13-0.0212%20 May →
cache13–9-0.0417%20 May →
ancient13–4-0.0320%20 May →
inferno8–13-0.0523%19 May →
cache16–14-0.037%19 May →
dust210–13-0.0515%19 May →
anubis9–13-0.0013%18 May →
cache13–90.006%15 May →
dust28–13-0.0222%13 May →
ancient13–9-0.079%13 May →
cache13–5-0.0311%10 May →
mirage4–13-0.107%10 May →
anubis9–13-0.067%10 May →
cache7–13-0.0710%7 May →
anubis13–30.0626%7 May →
nuke13–9-0.0821%7 May →
anubis10–13-0.0315%6 May →
dust212–16-0.0118%5 May →
cache8–13-0.0528%4 May →
cache9–13-0.0314%4 May →
dust211–13-0.0318%29 Apr →
cache13–11-0.0116%29 Apr →
cache7–130.0015%29 Apr →
mirage7–13-0.0222%28 Apr →
ancient13–10-0.0120%27 Apr →
inferno11–13-0.057%27 Apr →
ancient13–9-0.038%27 Apr →
inferno8–13-0.0724%23 Apr →
anubis4–13-0.0413%23 Apr →
dust216–140.0316%21 Apr →
inferno13–90.0514%21 Apr →
mirage10–13-0.0610%21 Apr →
inferno2–13-0.0819%18 Apr →
dust213–9-0.0025%17 Apr →
anubis8–13-0.070%17 Apr →
mirage13–50.0417%17 Apr →
overpass13–11-0.0015%17 Apr →
mirage11–13-0.049%12 Apr →
dust213–70.0511%11 Apr →
dust213–80.026%9 Apr →
nuke13–90.0220%9 Apr →
anubis16–14-0.024%9 Apr →
anubis11–130.0815%8 Apr →
dust214–16-0.0126%8 Apr →
nuke13–10-0.0324%2 Apr →
ancient13–110.0013%2 Apr →
anubis5–13-0.019%31 Mar →
dust213–8-0.0216%31 Mar →
dust210–130.0321%31 Mar →
nuke16–130.0512%30 Mar →
dust213–60.0522%30 Mar →
dust214–16-0.0412%30 Mar →
nuke13–50.0230%30 Mar →
dust213–11-0.0325%30 Mar →
ancient13–80.0019%29 Mar →
anubis10–13-0.067%29 Mar →
dust213–40.0617%26 Mar →
inferno13–8-0.0022%26 Mar →
anubis13–100.0415%25 Mar →
dust213–40.0412%25 Mar →
anubis13–10.1927%25 Mar →
dust213–11-0.0014%25 Mar →
overpass13–110.0621%25 Mar →
ancient13–110.0314%11 Mar →
overpass13–8-0.0012%8 Mar →
overpass8–13-0.0216%25 Feb →
nuke5–130.1121%24 Feb →
mirage13–60.0013%24 Feb →
ancient16–130.0414%24 Feb →
ancient13–100.0417%19 Feb →
ancient13–16-0.031%18 Feb →

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.