SABER TIFE TOOGER

SABER TIFE TOOGER — CS2 Stats

76561198162123576[U:1:201857848]Steam profile ↗✓ No bans

1,233Tracked matches45%Win rate2021Tracked since
1,426Hours in CS
CSDB Rating6.2 SolidPositional Player
Premier CS Rating16,605Purple band · top ~22% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,233 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,605 +2,739 4 Aug – 6 Nov · 29 days played
13,86616,605peak 16,6054 Aug6 Nov
16,977Peak Premier in tracked matches
28Days played since 2026-08-04

Premier CS Rating

  • At peak — 16,605
  • +2,043 over 90 days
  • Next: Pink band at 20,000 — 3,395 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 6 Nov 2026 and 14 Nov 2026.

Measured 6 Nov 2026 → 14 Nov 2026; no observation near 14 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate31.3%44.4%46.9%15.7% short
Shot accuracy15.9%11.9%13.0%above
Kill/death ratio1.101.031.08meets
Match win rate44.3%45.2%46.7%2.4% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGSABER TIFE TOOGERPREMIER16,605 · Purple bandcsdb.gg/stats

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Performance scores

Aim78
Positioning67
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLWWWWLTWLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.9pp headshot accuracy · −3ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 9%
  • Avg reaction 547ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 10%
  • Avg reaction 563ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 11%
  • Avg reaction 564ms

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 (+2.3 against its own average).

Aim7.8
Utility3.6
Positioning6.7
Opening Duels4.6
Clutch2.6

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

donk

Plays most like donk 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 586ms 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

Aim7.8
Positioning6.7
Utility3.6
Mechanics8.2
Opening Duels3.9
Win Impact3.3

Composite 6.2/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time588ms−42ms
first ⅓ avg 630ms → last ⅓ avg 588ms
Headshot accuracy11.3%−0.9%
first ⅓ avg 12.2% → last ⅓ avg 11.3%

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

0.17Best match rating · 13–5 · ancient, 26 Aug →
31%Best headshot accuracy · 7–13 · dust2, 13 Aug →
406msFastest reaction time · 13–4 · anubis, 10 Sept →
13–1Biggest win · train, 13 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 57% over 21mirageWeakest map · 42% over 26
MapGradePlayedRecordWin rateAvg rating
mirageC2611–1542%0.01
ancientA2112–957%0.02
infernoB178–947%0.03
anubisA116–555%0.02
nukeB105–550%0.01
cacheA74–357%0.05
dust2—41–325%0.00
train—21–150%-0.01
office—10–10%0.13
vertigo—11–0100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 26). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,674Lifetime kills
1.10K/D · Top 50% of Purple band
3,585Matches
44.3%Match win rate
31.3%Headshot %
15.9%Shot accuracy · Top 25% of Purple band
9,497MVPs
1,426Hours (in match)
2,738Bombs planted
881Bombs defused

Most-used weapons

AK-4718,214
AWP18,170
P902,643
XM10142,094
MP71,355
P2501,294

Lifetime map wins

6,309inferno
3,603nuke
1,868dust2
857vertigo
467office
397cbble
126train
37italy

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

Faceit stats

Combat

15Matches
40%Win rate
0.97Avg K/D
80.1ADR
35%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo450%0.8417.8
Mirage40%1.0016.3
Inferno250%0.5911.0
Dust21100%0.8113.0
Overpass1100%1.0010.0

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.

11.2%Headshot accuracy
38.6%Accuracy (enemy spotted)
43.2%Spray accuracy
86.7%Counter-strafing
8.9°Preaim
586msReaction time
42.7%T opening success
48.7%CT opening success
0.43Enemies flashed / flash
2.3%Flash assists
15.75HE damage / grenade
3.51Flashes / 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 11.1791% — 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 0.4301 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

42% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.039%10 Sept →
mirage13–20.043%10 Sept →
nuke13–40.0611%10 Sept →
anubis13–40.135%10 Sept →
inferno13–70.0217%10 Sept →
mirage5–13-0.022%9 Sept →
office12–120.1311%9 Sept →
mirage16–12-0.0012%9 Sept →
inferno11–13-0.0114%8 Sept →
ancient6–130.0220%8 Sept →
anubis13–90.0114%8 Sept →
mirage7–13-0.047%8 Sept →
cache13–80.0421%7 Sept →
inferno5–130.0422%7 Sept →
ancient13–40.057%4 Sept →
ancient14–160.059%3 Sept →
ancient11–13-0.029%3 Sept →
inferno13–90.046%2 Sept →
anubis16–140.0420%2 Sept →
ancient5–13-0.0410%2 Sept →
ancient13–90.0611%2 Sept →
cache9–130.0617%1 Sept →
mirage13–160.008%1 Sept →
mirage4–130.0717%31 Aug →
cache9–130.055%30 Aug →
mirage13–90.0613%30 Aug →
ancient13–110.035%30 Aug →
anubis9–13-0.018%30 Aug →
nuke10–130.0115%27 Aug →
inferno14–160.015%27 Aug →
anubis13–100.0613%27 Aug →
cache13–110.0415%26 Aug →
mirage13–110.0111%26 Aug →
ancient13–50.1714%26 Aug →
inferno13–80.0810%26 Aug →
mirage13–10-0.0614%26 Aug →
mirage13–11-0.0112%25 Aug →
mirage15–150.0012%25 Aug →
mirage9–130.1119%24 Aug →
ancient13–6-0.0612%24 Aug →
vertigo13–8-0.0118%24 Aug →
anubis13–50.053%24 Aug →
inferno6–13-0.0012%24 Aug →
ancient13–100.046%24 Aug →
inferno7–13-0.0317%20 Aug →
mirage13–9-0.0512%20 Aug →
dust29–13-0.0310%19 Aug →
inferno13–60.1111%19 Aug →
mirage1–13-0.0713%19 Aug →
nuke3–13-0.0512%19 Aug →
inferno7–13-0.039%17 Aug →
ancient13–8-0.0111%17 Aug →
anubis9–13-0.0117%17 Aug →
mirage13–9-0.006%17 Aug →
nuke13–8-0.0212%17 Aug →
anubis9–130.058%16 Aug →
train3–13-0.079%16 Aug →
anubis8–13-0.0214%16 Aug →
mirage13–90.027%15 Aug →
mirage7–130.0411%15 Aug →
cache5–130.049%15 Aug →
ancient8–13-0.015%15 Aug →
cache13–90.0714%14 Aug →
inferno7–130.018%14 Aug →
inferno9–70.149%13 Aug →
anubis13–6-0.048%13 Aug →
dust213–70.0216%13 Aug →
nuke6–130.0314%13 Aug →
mirage13–70.067%13 Aug →
dust27–130.0631%13 Aug →
train13–10.0421%13 Aug →
mirage5–130.0111%13 Aug →
nuke13–90.059%12 Aug →
inferno13–70.0512%12 Aug →
mirage7–13-0.027%12 Aug →
ancient7–130.025%12 Aug →
mirage13–10-0.006%12 Aug →
anubis11–13-0.106%11 Aug →
nuke3–130.0010%11 Aug →
mirage6–130.0217%11 Aug →
cache16–130.0917%11 Aug →
ancient14–160.1616%9 Aug →
ancient13–20.1011%9 Aug →
inferno13–70.0417%9 Aug →
inferno15–150.0320%9 Aug →
mirage9–130.0210%9 Aug →
inferno15–150.0115%7 Aug →
nuke13–11-0.019%7 Aug →
ancient13–100.0115%7 Aug →
dust22–13-0.0413%6 Aug →
mirage12–160.008%6 Aug →
ancient13–100.0117%6 Aug →
ancient13–8-0.056%6 Aug →
ancient10–13-0.0210%5 Aug →
nuke13–100.0917%5 Aug →
mirage15–150.0613%5 Aug →
ancient13–60.0113%5 Aug →
mirage13–160.028%5 Aug →
nuke8–13-0.019%5 Aug →
inferno13–110.044%4 Aug →

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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