TunTuri

TunTuri — CS2 Stats

FI76561197962875905[U:1:2610177]Steam profile ↗✓ No bans

1,687Tracked matches45%Win rate2021Tracked since
CSDB Rating4.9 DevelopingPositional Player
FaceitLevel 7 · 1,435 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 14,543 +1,323 31 Jul – 23 Sept · 20 days played
13,22014,999peak 14,99931 Jul23 Sept
Faceit ELO: 1,435 +0 29 Aug – 20 Sept · 3 observations
1,4351,435peak 1,43529 Aug20 Sept
14,999Peak Premier in tracked matches
1,435Highest Faceit ELO seen on CSDB
38Days played since 2026-07-31

Faceit ELO

  • At peak — 1,435
  • Next: Level 8 at 1,531 — 96 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-29
  • Level 6 first seen 2026-08-29

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.

Share this profile

CSDB.GGTunTuriFACEITLevel 7 · 1,435 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,435csdb.gg/stats

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Performance scores

Aim49
Positioning71
Utility68

0–100 skill scores via Leetify.

Recent form

COLD44–55–1Last 10044%Win rateWWLLLLLLLL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +0.5pp headshot accuracy · −31ms 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 10%
  • Avg reaction 566ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 543ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 559ms

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 (+1.7 against its own average).

Aim4.9
Utility6.8
Positioning7.1
Opening Duels3.9
Clutch4.0

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 60% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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. 562ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim4.9
Positioning7.1
Utility6.8
Mechanics4.4
Opening Duels5.2
Win Impact3.3

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 rating0.03+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time564ms−30ms
first ⅓ avg 594ms → last ⅓ avg 564ms
Headshot accuracy10.8%+0.0%
first ⅓ avg 10.8% → last ⅓ avg 10.8%

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

0.13Best match rating · 13–11 · inferno, 19 Aug →
22%Best headshot accuracy · 13–5 · inferno, 30 Aug →
313msFastest reaction time · 8–13 · inferno, 31 Oct →
13–2Biggest win · nuke, 1 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
9–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 62% over 21dust2Weakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
ancientA2113–862%0.04
infernoB2111–1052%0.03
nukeC177–1041%0.02
anubisD155–1033%0.04
cacheC145–936%0.01
dust2D103–730%0.02
mirage—20–20%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

534Matches
47%Win rate
1.34Avg K/D
86.6ADR
30%Headshot %

Clutches & streaks

40%1v1 clutch win
26%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient12448%1.2916.7
Anubis9448%1.4818.7
Inferno7956%1.3416.8
Nuke5143%1.1815.9
Overpass3040%1.1716.3
Train2065%1.4018.8
Dust21942%1.0915.4
Mirage1450%1.1514.4

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.

10.8%Headshot accuracy
32.8%Accuracy (enemy spotted)
36.9%Spray accuracy
69.7%Counter-strafing
10.7°Preaim
562msReaction time
52.8%T opening success
49.0%CT opening success
0.62Enemies flashed / flash
6.2%Flash assists
13.31HE damage / grenade
8.62Flashes / 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. 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 10.7597% — below the 15% mark we flag

    Aim Training →
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.

30% 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
ancient13–10-0.018%2 Nov →
cache13–90.048%2 Nov →
anubis2–13-0.077%1 Nov →
cache5–130.0116%1 Nov →
cache7–13-0.0011%31 Oct →
inferno8–13-0.0610%31 Oct →
ancient4–130.0116%31 Oct →
dust26–130.0014%31 Oct →
anubis7–130.1012%31 Oct →
cache7–13-0.0511%28 Oct →
anubis11–130.0519%28 Oct →
nuke13–160.0418%28 Oct →
anubis9–130.1211%28 Oct →
cache10–130.0212%26 Oct →
anubis13–110.056%25 Oct →
inferno6–13-0.030%23 Oct →
dust213–70.0111%23 Oct →
cache8–130.018%23 Oct →
anubis14–16-0.0112%23 Oct →
cache12–12-0.0112%21 Oct →
cache13–100.0312%19 Oct →
cache13–30.0411%19 Oct →
ancient13–60.0711%10 Oct →
dust213–80.1012%10 Oct →
inferno13–110.0510%5 Oct →
ancient14–160.009%5 Oct →
inferno13–80.0413%4 Oct →
nuke13–90.069%4 Oct →
inferno13–80.047%28 Sept →
ancient19–160.078%28 Sept →
inferno13–90.0311%28 Sept →
inferno13–40.0720%23 Sept →
mirage10–130.014%23 Sept →
ancient6–130.0111%23 Sept →
dust213–10-0.0310%23 Sept →
dust28–130.0515%23 Sept →
mirage8–130.019%23 Sept →
anubis9–130.015%21 Sept →
nuke13–80.0011%20 Sept →
ancient10–130.046%20 Sept →
nuke13–90.0615%15 Sept →
inferno2–13-0.0310%15 Sept →
ancient13–70.1010%15 Sept →
dust28–130.0115%15 Sept →
inferno10–130.015%15 Sept →
anubis13–80.042%14 Sept →
nuke4–13-0.047%13 Sept →
dust24–130.0015%6 Sept →
dust23–130.0015%5 Sept →
anubis5–13-0.008%4 Sept →
inferno9–130.0013%4 Sept →
ancient13–110.1212%4 Sept →
nuke3–13-0.0713%4 Sept →
inferno9–130.1014%3 Sept →
nuke8–13-0.0210%3 Sept →
inferno13–50.0222%30 Aug →
cache16–140.039%26 Aug →
nuke5–130.118%26 Aug →
ancient10–13-0.0017%24 Aug →
inferno13–70.069%23 Aug →
ancient13–110.1118%19 Aug →
inferno13–110.1310%19 Aug →
anubis13–100.037%19 Aug →
ancient13–60.019%17 Aug →
nuke9–13-0.0210%17 Aug →
nuke13–30.0216%17 Aug →
ancient13–110.0412%15 Aug →
inferno13–10-0.016%15 Aug →
ancient11–13-0.033%15 Aug →
cache2–13-0.068%15 Aug →
nuke4–130.119%15 Aug →
cache6–130.006%15 Aug →
anubis8–130.0117%15 Aug →
nuke4–130.0310%15 Aug →
inferno2–130.0317%15 Aug →
anubis11–13-0.026%12 Aug →
ancient13–60.039%12 Aug →
nuke19–170.027%10 Aug →
ancient13–50.089%10 Aug →
inferno4–13-0.068%9 Aug →
dust213–16-0.0121%8 Aug →
inferno13–80.0915%5 Aug →
ancient13–10-0.0219%3 Aug →
dust214–160.0212%3 Aug →
nuke5–13-0.038%3 Aug →
inferno11–130.0310%1 Aug →
nuke13–20.0710%1 Aug →
cache13–110.0414%1 Aug →
ancient13–20.0616%1 Aug →
inferno13–100.0512%1 Aug →
anubis7–130.036%1 Aug →
ancient8–130.068%1 Aug →
nuke2–130.014%1 Aug →
ancient13–90.1214%1 Aug →
anubis13–50.0914%31 Jul →
inferno5–13-0.028%31 Jul →
cache11–13-0.023%31 Jul →
ancient4–13-0.0220%31 Jul →
anubis13–30.0920%31 Jul →
nuke13–9-0.016%31 Jul →

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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