Temeli100

Temeli100 — CS2 Stats

FI76561198128598869[U:1:168333141]Steam profile ↗✓ No bans

886Tracked matches61%Win rate2020Tracked since
1,023Hours in CS1Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 886
+2.1ppWin rate · 58.6% → 60.7%

Rating over time

Premier CS Rating: 16,935 +2,920 28 Jan – 23 Sept · 10 days played
13,96916,935peak 16,93528 Jan23 Sept
17,233Peak Premier in tracked matches
24Days played since 2026-01-06

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

MetricLast 30Previous 30Change
Matches1——
Win rate0%——
K/D1.07——
Headshot %31%——

Measured 19 Sep 2026 → 14 Oct 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.

Performance scores

Aim54
Positioning35
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY52–41–7Last 10052%Win rateTLWWLTWTWW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −0.1pp headshot accuracy · −12ms reaction

Win rate down 20pp 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 -0.04
  • Avg headshot accuracy 7%
  • Avg reaction 613ms

Last 10

  • 5–2–3 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 589ms

Last 20

  • 12–5–3 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 595ms

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 (+1.2 against its own average).

Aim5.4
Utility3.4
Positioning3.5
Opening Duels0.0

Limited utility dependence

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 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 589ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.4
Positioning3.5
Utility3.4
Mechanics4.3
Opening Duels0.0
Win Impact8.6

Composite 4.3/10 (Developing), 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 rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time609ms−71ms
first ⅓ avg 680ms → last ⅓ avg 609ms
Headshot accuracy9.2%+3.0%
first ⅓ avg 6.3% → last ⅓ avg 9.2%

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

0.07Best match rating · 5–2 · inferno, 5 Sept →
30%Best headshot accuracy · 8–8 · inferno, 7 Sept →
453msFastest reaction time · 13–8 · ancient, 24 Aug →
13–1Biggest win · nuke, 4 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–3In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 64% over 11infernoWeakest map · 44% over 32
MapGradePlayedRecordWin rateAvg rating
infernoC3214–1844%-0.04
ancientA3018–1260%-0.04
nukeA117–464%-0.03
cacheB105–550%-0.02
dust2B63–350%-0.04
anubis—31–233%-0.05
overpass—32–167%0.01
mirage—31–233%-0.03
vertigo—11–0100%-0.05
cache_b—10–10%-0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 32). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,795Lifetime kills
0.78K/D
1,685Matches
40.8%Match win rate
33.1%Headshot %
14.3%Shot accuracy · Top 50% of tracked players
3,138MVPs
568Hours (in match)
2,422Bombs planted
231Bombs defused

Most-used weapons

Lifetime map wins

3,584inferno
1,876nuke
1,022dust2
609train
592vertigo
351cbble
346lake
101office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

8.1%Headshot accuracy
37.2%Accuracy (enemy spotted)
42.8%Spray accuracy
69.4%Counter-strafing
10.9°Preaim
589msReaction time
13.9%T opening success
26.0%CT opening success
0.32Enemies flashed / flash
4.2%Flash assists
10.39HE damage / grenade
4.18Flashes / 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 8.1169% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3166 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 13.8582% — below the 40% mark we flag

Spend your practice time on Inferno

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

44% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient15–15-0.019%4 Oct →
inferno14–16-0.103%9 Sept →
ancient13–11-0.0310%9 Sept →
inferno13–50.0110%9 Sept →
inferno11–13-0.082%9 Sept →
ancient15–15-0.075%7 Sept →
cache16–140.0516%7 Sept →
inferno8–8-0.1530%7 Sept →
ancient16–13-0.073%5 Sept →
ancient13–10-0.024%5 Sept →
inferno4–13-0.0210%5 Sept →
ancient8–13-0.0510%5 Sept →
inferno5–20.0713%5 Sept →
ancient13–3-0.064%5 Sept →
inferno13–10-0.042%5 Sept →
nuke13–1-0.0315%4 Sept →
cache13–9-0.0112%4 Sept →
ancient13–8-0.0110%4 Sept →
cache13–7-0.005%4 Sept →
ancient4–13-0.0913%30 Aug →
inferno7–13-0.0420%30 Aug →
inferno13–60.0116%30 Aug →
ancient13–7-0.0912%30 Aug →
ancient13–6-0.059%30 Aug →
cache4–13-0.022%30 Aug →
anubis10–13-0.087%30 Aug →
dust213–9-0.079%28 Aug →
nuke9–13-0.049%28 Aug →
ancient3–13-0.094%28 Aug →
cache9–13-0.028%28 Aug →
ancient13–6-0.020%28 Aug →
ancient4–13-0.107%26 Aug →
nuke13–9-0.0616%26 Aug →
ancient13–9-0.018%26 Aug →
cache3–13-0.0613%26 Aug →
nuke13–2-0.034%26 Aug →
ancient15–15-0.048%26 Aug →
dust29–13-0.0211%26 Aug →
inferno1–13-0.0513%24 Aug →
cache13–7-0.048%24 Aug →
cache13–10-0.043%24 Aug →
ancient13–8-0.0514%24 Aug →
inferno13–6-0.0829%24 Aug →
overpass13–80.0416%16 Aug →
ancient4–13-0.066%16 Aug →
dust212–12-0.029%15 Aug →
dust213–10-0.028%15 Aug →
nuke13–9-0.0211%15 Aug →
inferno13–1-0.103%15 Aug →
cache5–13-0.0515%9 Aug →
inferno13–7-0.0520%31 May →
inferno12–120.017%31 May →
nuke6–13-0.027%31 May →
inferno8–13-0.0410%31 May →
inferno7–13-0.0215%30 May →
mirage7–13-0.0618%30 May →
dust29–13-0.0613%30 May →
vertigo13–8-0.058%29 May →
cache7–13-0.037%29 May →
inferno6–13-0.0617%29 May →
ancient7–13-0.019%11 Mar →
ancient10–13-0.0612%11 Mar →
mirage13–9-0.0415%11 Mar →
inferno8–80.0514%13 Feb →
anubis13–9-0.029%8 Feb →
inferno13–10-0.029%8 Feb →
overpass13–90.020%8 Feb →
inferno4–13-0.0610%2 Feb →
ancient13–100.016%2 Feb →
ancient13–11-0.0211%2 Feb →
ancient1–13-0.066%2 Feb →
nuke13–9-0.066%2 Feb →
inferno8–13-0.0714%30 Jan →
ancient14–16-0.118%30 Jan →
ancient13–10-0.065%30 Jan →
overpass10–13-0.047%28 Jan →
nuke13–90.019%28 Jan →
ancient13–7-0.019%28 Jan →
nuke16–13-0.033%27 Jan →
inferno13–30.022%27 Jan →
mirage6–13-0.0112%27 Jan →
inferno13–10-0.022%27 Jan →
nuke7–13-0.040%27 Jan →
inferno13–11-0.043%26 Jan →
ancient13–110.0314%26 Jan →
inferno13–7-0.066%26 Jan →
dust213–10-0.044%26 Jan →
inferno8–13-0.115%26 Jan →
ancient13–8-0.0411%26 Jan →
anubis5–13-0.056%26 Jan →
ancient13–11-0.045%26 Jan →
inferno6–13-0.063%26 Jan →
inferno13–100.027%26 Jan →
nuke2–13-0.025%26 Jan →
inferno10–130.005%26 Jan →
inferno13–90.026%26 Jan →
ancient13–40.035%6 Jan →
inferno3–13-0.023%6 Jan →
inferno4–13-0.050%6 Jan →
cache_b3–13-0.1014%6 Jan →

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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